{"@context":"https://schema.org","@type":"ItemList","name":"Data Engineer Jobs: Find Your Next Career Opportunity","description":"Explore Data Engineer job opportunities in leading companies. Apply now and kickstart your career in data engineering. Find the latest Data Engineer roles here.","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"JobPosting","title":"Data Engineer, Product Analytics","datePosted":"2025-08-09","description":"As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.

You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.

Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.Data Engineer, Product Analytics Responsibilities

Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact
Mentor team members by giving/receiving actionable feedback

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
4+ years of experience (or a minimum of 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications

Master's or Ph.D degree in a STEM field

About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv, Israel","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Data Engineer, Product Analytics","datePosted":"2025-08-13","description":"As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.

You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.

Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.Data Engineer, Product Analytics Responsibilities

Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact
Mentor team members by giving/receiving actionable feedback

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
4+ years of experience (or a minimum of 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications

Master's or Ph.D degree in a STEM field

Company Description

At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring.

Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the world’s leading job-tech platform.

Job Description

The role of Product Analytics Manager in our company is at the intersection of several disciplines: Product Analytics, Insights Analytics, Data Engineering and Data Science. Your team’s projects will cover a broad range of topics, from working with engineers to implement event tracking on our platforms, all the way to generating data insights and sometimes building predictive models, ultimately helping our Product organisation deliver great products, which solve meaningful user problems.  

You and your team are part of a larger Product Analytics group, and will be working closely with Product Directors, Heads of Product, Data Engineers, Data Scientists and many other stakeholders to ensure we take data-driven product decisions at every step of the way, helping turn our Data and Product strategy into reality.  

Equally important, you will foster an environment of active support, collaboration and growth within your team, enabling all your team members to achieve their potential and progress on their chosen career paths. 

What your day will look like:

Orchestrate the scope, prioritization, and distribution of resources in your team across the many analytics projects.   
Manage the delivery process and set expectations with stakeholders for transparent and aligned project outcomes and timelines. 
Champion our 'always testing' culture, designing and developing experiments. 
Lead and drive on data deep-dive initiatives, partner with the Product function to discover opportunities and help prioritise the Product roadmap.  
Apply Data Science techniques for analytics research and work closely with other Data Scientists.

Qualifications

The ideal candidate:

Ideally 7+ years of experience in either Insights Analytics, Product Analytics or Data Science.  
Relevant experience in managing a team of analysts or similar.  
An excellent communicator with the ability to engage effectively on complex topics, and also present effectively to less technical audiences.  
Experience managing stakeholders at all levels.  
Educated to degree level or higher, preferably in a numerical field and/or statistical background.

Technical requirements:

Proficient in SQL and hands-on coding experience with Python for Data Analytics 
Experience with setting up and automating data pipelines, ETL processes, etc 
Proficiency in using data visualization tools such as PowerBI or Tableau 
In-depth experience with Adobe Analytics or Google Analytics 
Expert at designing, running and interpreting AB tests.

Additional Information

We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it. Here are some of the benefits we offer:

29 days holiday allowance + bank holidays  
Private medical and dental healthcare  
Matching pension contribution of 4 or 5% (after 3 years of service up to 10%)  
24/7 Employee Assistance Programme
Life Assurance Cover 
Cycle to work scheme  
Hybrid working model  (3 days working from the office)
Volunteering days  
and you can bring your dog to the office on Mondays and Fridays!

Our commitment

Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.

As a global business we further our DEI and sustainability progress by working with national and international bodies and are proud to have been recognised for our work - both locally and internationally, including:

Armed Forces Covenant: Bronze Award, Employer Recognition Scheme
EcoVadis: Bronze Award
Fertility Friendly Employer, accredited by Fertility Matters at Work
RIDI (Recruitment Industry Disability) Awards: Inclusive Technology Award 2024
Stonewall: Gold Award
Stonewall: Top 100 Workplace Equality Index (85)

","hiringOrganization":{"@type":"Organization","name":"StepStone Group","sameAs":"https://www.thestepstonegroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Manager, Product Analytics","datePosted":"2025-08-08","description":"

Ready to be a Titan?

ServiceTitan is looking for an extraordinary Manager of Product Analytics to develop insightful and in-depth reporting and take our understanding of our customers and our product to the next level. As a hands-on manager-doer, you will be responsible for partnering with R&D Operations to report on the stability of our products, the efficiency of our team, and key performance indicators.

Our customers depend on our products to take their business growth to the next level, and we need your help to make them successful on our product. We’re excited about what we’ll build together.

What You'll Do:

Work directly with business users to gather requirements, develop solutions, and provide insights using business intelligence platforms such as Tableau, specifically contributing to:
- R&D Performance Tracking: Develop and maintain scorecards showing monthly, QTD, and YTD performance vs. targets for key R&D KPIs across funded programs
- Delivery & Efficiency Monitoring: Build and enhance dashboards that track on-time delivery rates, release health (major/minor releases, milestone adherence, reasons for delays), and team efficiency metrics
- Resource Allocation & Headcount Analysis: Create and refine dashboards providing views of R&D team allocation across funded programs and key headcount metrics
- Quality & Automation Insights: Develop and maintain dashboards for code coverage and automation progress to inform quality improvement initiatives
Define metrics with key stakeholders (including R&D Operations, Product, Engineering, and Accounting teams) and monitor the impact of releases and product changes at an in-depth level
Build insightful reports and visualizations to surface trends and actionable insights to internal business users, clearly articulating performance drivers and areas for improvement
Inform business and teams of user activity on our platform, establish metrics to identify customer pain points, and proactively identify new opportunities to improve our product
Build strong relationships within product, engineering, and support functions to understand business needs and ensure reporting aligns with strategic objectives
Ensure adequate instrumentation and metrics are in place to respond to fundamental business questions on our product and its usage, working closely with data owners and system experts
Partner with data engineering to build out data marts, ensuring data reliability and accessibility for reporting

What You'll bring:

Bachelor degree in a business or quantitative field
8+ years of experience as a product analyst
At least two years of experience managing a small number of direct reports (1-3 people)
Experience building insightful Tableau dashboards
Strong SQL expertise and previous experience with data warehouses (Snowflake preferred)
Deep analytical skills with the ability to collect, organize, and analyze significant amounts of information with great attention to detail
Understanding of software development lifecycles and agile methodologies
Experience with version control systems (e.g., Git) for code and documentation management
Ability to creatively start new projects and ask questions no one is asking
Viewed as both indistinguishable and indispensable from the business teams you partner with
Comfortable with tight deadlines in a high-growth environment
Excellent written, verbal and presentation skills that allow you to directly communicate with VP+ leaders are required
Maintain and execute against multi-quarter roadmaps

Preferred Skills:

Experience with A/B testing
Experience in python (pandas, etc.)
Experience in dbt (data engineering)
Experience with product analytics tools (e.g., FullStory, Mixpanel, Amplitude)

Be Human With Us:

Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.

What We Offer

When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:

Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
Holistic health and wellness benefits: Company-paid medical, dental, and vision for you and your dependents, RSP match, and an employee assistance program.
Support for Titans at all stages of life: Parental leave and support, up to $20k in adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, financial planning tools, and more.

At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.

ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation. The expected salary range for this role for candidates residing in Canada is between $137,400 CAD - $206,000 CAD. Actual compensation for an individual may vary depending on skills, performance over time, qualifications, experience, and location. In addition to the base salary, the total compensation package also includes an annual bonus, equity and a holistic suite of benefits.","hiringOrganization":{"@type":"Organization","name":"ServiceTitan","sameAs":"https://www.servicetitan.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Canada Ontario Remote","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Director, Product Analytics","datePosted":"2025-08-05","description":"

Make banking a Fifth Third better®

We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.

GENERAL FUNCTION:

Key leadership position responsible for all product and portfolio strategies to drive revenue growth and profit across the Bancorp for the assigned Bankcard HSA line of business (Credit Card, Debit/Prepaid, HSA). Position will have overall responsibility for achieving the annual line of business profit plan. Develops long-term strategic growth plans focusing on customers, competition, profitability, risk management, product life cycle, and service considerations. Leads product price setting and works closely with business partners in developing enhancements, new product concepts, and bringing innovation to market. Coordinates the activities of all corporate areas necessary to bring the product to market, develops financial operating plans, projects profit and loss, and is charged with achieving annual sales objectives for assigned products or areas. Manage staff responsible for executing the key line of business growth strategies.

Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues, and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Exercise direct supervision of assigned product, portfolio, marketing, sales and analytic managers. Work across the Fifth Third organizational matrix with key business partners in risk, credit, operations, collections and retail.
Manage the line of business P&L and the associated products. Provide guidance to Finance for analysis of historical financial reporting, projections of financial results for future periods and annual budgeting.
Establish annual goals and objectives for key line of business deliverables.
Manage the implementation of new products and/or product enhancements and functionalities.
Develop and maintain product strategies and the business strategic plan.
Oversee pricing, profitability and strategy models used to generate the portfolio performance.
Develop and maintain relationships with key customers, internal business partners and key vendors as necessary.
Effectively manage cross-functional teams on complex issues related to development, implementation, and ongoing servicing.
Research competitor practices and pricing to ensure that products are competitive in features and pricing and that quality service is being provided.
Lead pricing committees as appropriate.
Monitor industry trends and perform essential market research and analysis to define current and prospective customer needs.

SUPERVISORY RESPONSIBILITIES:

Responsible for providing employees timely, candid and constructive performance feedback; developing employees to their fullest potential and provide challenging opportunities that enhance employee career growth; developing the appropriate talent pool to ensure adequate bench strength and succession planning; recognizing and rewarding employees for accomplishments.

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:

Bachelor's degree. MBA or other Advanced degree is preferred.
20 or more years of relevant industry experience.
In-depth understanding of product features, benefits, pricing, positioning, design and advertising.
Proficiency in Excel, Word, and PowerPoint.
Must have ability to effectively manage credit risk/return trade-offs to optimize profitability.
Requires excellent organizational skills, quantitative skills, strong interpersonal communication skills and analytic expertise.
Work requires experience and ability to influence and negotiate with individuals outside span of control and the associated decision making.

Director, Product Analytics

Total Base Pay Range 119,500.00 - 256,900.00 USD Annual

LOCATION -- Virtual, South Carolina 00000

Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.

","hiringOrganization":{"@type":"Organization","name":"Fifth Third Bank","sameAs":"https://www.53.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Virtual - South Carolina, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Director, Product Analytics","datePosted":"2025-08-14","description":"

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2025 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?

The Role

As the Director of Product Analytics you will lead a high-impact team of analysts responsible for delivering advanced analytics, experimentation, and machine learning solutions across our Product teams. You will be a strategic thought partner to executive leadership and an influential voice in shaping product strategy, growth levers, and user engagement through rigorous data-driven insights.

In this role, you’ll oversee initiatives that range from large-scale A/B testing infrastructure and causal inference modeling, to predictive user behavior models and strategic product optimization. You'll bring deep technical expertise and people leadership, guiding the team through high-complexity, high-impact problems that sit at the intersection of business outcomes and technical innovation.

You Will:

Lead and scale a high-performing team of data scientists and analysts supporting product, platform, and growth initiatives.
Drive technical excellence in experimentation, statistical modeling, and causal inference to evaluate product impact and inform roadmap decisions.
Partner with Product, Engineering, Marketing, and Design to identify opportunities for user growth, engagement, and retention, applying data science to optimize funnels, features, and user experiences.
Own the design and evolution of experimentation platforms, metrics systems, and modeling pipelines to enable trustworthy, scalable insights.
Provide thought leadership on machine learning and predictive modeling use cases across lifecycle stages—activation, conversion, monetization, and churn.
Define and institutionalize best practices for experimentation, metric development, model governance, and productionization of analytics tools and pipelines.
Mentor and grow senior technical talent, cultivating a strong data science culture rooted in curiosity, impact, and collaboration.

You Have:

10+ years of experience in data science, advanced analytics, or quantitative research, including extensive work in product and growth-focused domains.
7+ years of experience leading high-performing data science teams, including managing managers and scaling organizations.
Proven track record of driving growth through experimentation and quantitative optimization, with hands-on expertise in Randomized Experiments and Causal Inference techniques.
Strong in SQL & Python, and experience with modern analytics and machine learning tooling (e.g., dbt, Airflow, Spark, MLflow, etc.).
Experience applying machine learning techniques (e.g., classification, time series forecasting, uplift modeling) to solve business problems at scale.
Master’s or PhD in a quantitative field such as Statistics, Computer Science, Economics, or Applied Mathematics strongly preferred.
A clear, concise communicator with the ability to synthesize complex analyses into executive-level narratives and recommendations.
Passion for developing people and fostering a culture of technical rigor, experimentation, and high-impact delivery.

For working locations in NY/NJ/CA, the base salary pay range will be $ 259,000-274,000

For all other states, the base salary pay range will be $232,000-247,000

Life at Flex:

We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.

\n\n\n

We offer many employee benefits. For full time, U.S. based employees we offer:

Competitive pay
100% company-paid medical, dental, and vision
401(k) + company equity
Unlimited paid time off + 13 company paid holidays
Parental leave
Flex Cares Program: Non-profit company match + pet adoption coverage
Free Flex subscription

For full time non-US employees, we offer

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Competitive Pay
Company Equity
Unlimited PTO

","hiringOrganization":{"@type":"Organization","name":"Flex","sameAs":"https://getflex.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Product Analytics, Manager","datePosted":"2025-08-14","description":"

About OnePay

OnePay is a consumer financial services app with an exceedingly simple mission: to help people achieve financial progress.

Tens of millions of Americans today are unbanked or underbanked, meaning they don’t have enough money in savings to cover a minor emergency. They pay too much in fees, don’t have access to credit at affordable rates, and have little ability to grow their wealth. OnePay’s vision is to create a single app for consumers to save, spend, borrow, and grow their money, bringing our mission to life with simple and accessible banking, credit, and payments products that deliver a best-in-class experience to millions of customers. Our products include:

Checking and high-yield savings accounts
Domestic and international peer-to-peer payments
Credit Builder and credit score monitoring
Digital wallet / contactless payment solutions
Buy-now-pay-later installment loans at Walmart

Why do we have a right to win? We have the backing of Walmart (a Fortune 1) and Ribbit Capital (a preeminent fintech investor), are deeply embedded with the distribution of the world’s largest omnichannel retailer, and have an industry-leading multi-product value proposition — all in addition to having some of the best people and talent in the industry.

There’s never been a better time to build a category-defining business and there has rarely been a team better positioned for the opportunity. Join us!

The Role

As a member of the analytics team, you will bring order to vast amounts of internal and external data so OnePay can make better data-driven business decisions, faster. You will work cross-functionally to leverage data to understand strengths and opportunities in our business and extend proposals that advance both the business and provide a better experience for our customers. To be successful, you’ll need a passion for solving complex problems inherent to working in the fintech industry, have an eager-mentality to accelerate our robust customer growth, and take an owner-like mentality in managing our foremost business performance metrics.

What You'll Do

Own analytics for our Lending product including funnel performance, user behavior, and cross-product interaction.
Work cross functionally with product, engineering, and product marketing to create data driven strategies and testing agendas that drive business growth.
Intertwine analytics with business and product strategy to craft business proposals that ultimately impact the bottom-line.
Leverage AI-powered tools and techniques to uncover patterns, automate insights, and push the boundaries of what’s possible in product analytics.
Lead and develop a team of high-performing analysts to achieve the above.

You Bring

Expert Career (7-10 Years) with minimum of 2 yrs as a people manager; preferred 3+yrs in consumer financial credit risk
Advanced SQL skills with a track record of extracting and analyzing complex datasets independently.
Strong analytical thinking and problem-solving skills — you can go from ambiguous questions to clear insights.
Proven ability to work cross-functionally to translate complex data questions into practical business guidance.
Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’.
An act-like-an-owner mentality. We have a bias toward taking action.
Advanced SQL skills with a track record of extracting and analyzing complex datasets independently.
Strong analytical thinking and problem-solving skills — you can go from ambiguous questions to clear insights.
Proven ability to work cross-functionally to translate complex data questions into practical business guidance.
Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’.
An act-like-an-owner mentality. We have a bias toward taking action.

What We Offer

Competitive base salary, stock options, and health benefits from Day 1
401(k) plan with company match
Remote-friendly (US), flexible time off (FTO), and opportunities for growth
A high-growth, mission-driven, inclusive culture where your work has real impact

Standard Interview Process

Initial Interview with Talent Partner
Technical or Hiring Manager Interview
Team Interview
Executive Interview
Offer!

Equal Employment Opportunity

To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

","hiringOrganization":{"@type":"Organization","name":"ONE","sameAs":"https://www.one.app"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States (Remote)","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Product Analytics Manager","datePosted":"2025-08-18","description":"

<gh-intro>
<text>

We are looking for a Product Analytics Manager, who will oversee the product analytics teams and workflows to improve the Bolt’s vertical products, including generation of actionable insight through data (via advanced analytics, experimentation, causal studies and other methods), creation and maintenance of data models and reports.

</text>
</gh-intro>

<gh-about-us>
<title>About us</title>

<text>

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

</text>

</gh-about-us>

<gh-role-detail>

<title>About the role</title>

<text>

You will manage a team of Product Analysts, collaborating closely with cross-functional teams to design, develop, and implement scalable solutions that automate processes related to your product. Your role will involve aligning analytics needs with product strategies, driving process improvements, delivering actionable insights derived from data, and aligning metrics across different functional teams.

</text>
</gh-role-detail>

<gh-responsibilities>

<title>Your daily adventures will include:</title>

<point>Leading and managing a team of Product and Operational Analysts, providing guidance, mentorship, and support</point>
<point>Defining metrics and targets for continuous improvement in our work processes and tooling</point>
<point>Conducting audits and analysis of analytical needs, orchestrating creation of data products and ensuring their usability and accuracy, existing workflows and platform tooling, identifying pain points to drive process improvements and scalability</point>
<point>Taking a key part in planning & product roadmapping, estimating the impact of product initiatives, overseeing </point>
<point>Collaborating with Product & Experimentation Teams to align on BI and data platform strategy and priorities to design and adopt scalable solutions through a common roadmap</point>
<point>Coordinating, prioritizing and verifying the work of assigned Analytics Engineers working for your product areas</point>
<point>Establishes efficient workflows for (re)training and support of broader product and other teams on processes, tools, and methodologies to ensure proficiency and adoption</point>
<point>Taking ownership of projects within the designated products and driving them to successful completion</point>

</bulletpoints>
</gh-responsibilities>

<gh-requirements>

<title>About you:</title>

<point>You hold a BS in Mathematics, Economics, Computer Science, Information Management, or Statistics.</point>
<point>You have at least 8-10 years of proven experience dealing with large volumes of data, with significant ownership of company-scale projects, and are recognized as a trusted strategic partner. People leadership experience essential.</point>
<point>You can rank your SQL skills as “outstanding” and possess \"profound\" experience with Python/R for advanced data analysis and solution development.</point>
<point>You have extensive and expert-level experience with various BI tools, data visualization platforms, and data architecture concepts, capable of selecting and implementing advanced tools and methodologies.</point>
<point>You can prove your ability to lead complex experimentation initiatives, including advanced applied statistics, designing and analyzing experiments across multiple domains, and providing strategic recommendations that influence company-level decisions.</point>
<point>Your verbal and written communication skills are outstanding, and you are fluent in English, capable of communicating complex analytical insights and influencing decisions at the vertical leadership level.</point>
<point>You are experienced in leading and managing a team of 10+ Analysts, defining team structure and workforce planning across multiple teams, and overseeing headcount planning, hiring, and retention.</point>
<point>You manage group-level budget allocations, balancing people, tools, and delivery capacity.</point>
<point>You are an executional leader who aligns teams across execution priorities, ensuring group-wide operational excellence.</point>
<point>You develop strategic plans within your group, ensuring alignment with leadership direction.</point>
<point>You partner across departments to drive large-scale initiatives, influencing vertical (business-unit level) leadership decisions.</point>
<point>You are a recognized expert within the company, capable of solving highly ambiguous problems and advancing the craft of your field.</point>
<point>Advanced degree’s (masters or PHD) are beneficial for the role.</point>

</bulletpoints>
<text>

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!
</text>
</gh-requirements>

<gh-perks>

<point>Play a direct role in shaping the future of mobility.</point>
<point>Impact millions of customers and partners in 600+ cities across 50+ countries.</point>
<point>Work in fast-moving autonomous teams with some of the smartest people in the world. </point>
<point>Accelerate your professional growth with unique career opportunities.</point>
<point>Get a rewarding salary and stock option package that lets you focus on doing your best work.</point>
<point>Enjoy the flexibility of working in a hybrid mode.</point>
<point>Take care of your physical and mental health with our wellness perks.</point>

</bulletpoints>
<text>*Some perks may differ depending on your location.</text>
</gh-perks>

#LI-Hybrid

","hiringOrganization":{"@type":"Organization","name":"Bolt","sameAs":"https://bolt.eu/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tallinn, Estonia","addressCountry":"Estonia","addressRegion":"Europe"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Product Analytics Manager","datePosted":"2025-08-18","description":"

<gh-intro>
<text>

</text>
</gh-intro>

<gh-about-us>
<title>About us</title>

<text>

</text>

</gh-about-us>

<gh-role-detail>

<title>About the role</title>

<text>

</text>
</gh-role-detail>

<gh-responsibilities>

<title>Your daily adventures will include:</title>

<point>Leading and managing a team of Product and Operational Analysts, providing guidance, mentorship, and support</point>
<point>Defining metrics and targets for continuous improvement in our work processes and tooling</point>
<point>Conducting audits and analysis of analytical needs, orchestrating creation of data products and ensuring their usability and accuracy, existing workflows and platform tooling, identifying pain points to drive process improvements and scalability</point>
<point>Taking a key part in planning & product roadmapping, estimating the impact of product initiatives, overseeing </point>
<point>Collaborating with Product & Experimentation Teams to align on BI and data platform strategy and priorities to design and adopt scalable solutions through a common roadmap</point>
<point>Coordinating, prioritizing and verifying the work of assigned Analytics Engineers working for your product areas</point>
<point>Establishes efficient workflows for (re)training and support of broader product and other teams on processes, tools, and methodologies to ensure proficiency and adoption</point>
<point>Taking ownership of projects within the designated products and driving them to successful completion</point>

</bulletpoints>
</gh-responsibilities>

<gh-requirements>

<title>About you:</title>

<point>You hold a BS in Mathematics, Economics, Computer Science, Information Management, or Statistics.</point>
<point>You have at least 8-10 years of proven experience dealing with large volumes of data, with significant ownership of company-scale projects, and are recognized as a trusted strategic partner. People leadership experience essential.</point>
<point>You can rank your SQL skills as “outstanding” and possess \"profound\" experience with Python/R for advanced data analysis and solution development.</point>
<point>You have extensive and expert-level experience with various BI tools, data visualization platforms, and data architecture concepts, capable of selecting and implementing advanced tools and methodologies.</point>
<point>You can prove your ability to lead complex experimentation initiatives, including advanced applied statistics, designing and analyzing experiments across multiple domains, and providing strategic recommendations that influence company-level decisions.</point>
<point>Your verbal and written communication skills are outstanding, and you are fluent in English, capable of communicating complex analytical insights and influencing decisions at the vertical leadership level.</point>
<point>You are experienced in leading and managing a team of 10+ Analysts, defining team structure and workforce planning across multiple teams, and overseeing headcount planning, hiring, and retention.</point>
<point>You manage group-level budget allocations, balancing people, tools, and delivery capacity.</point>
<point>You are an executional leader who aligns teams across execution priorities, ensuring group-wide operational excellence.</point>
<point>You develop strategic plans within your group, ensuring alignment with leadership direction.</point>
<point>You partner across departments to drive large-scale initiatives, influencing vertical (business-unit level) leadership decisions.</point>
<point>You are a recognized expert within the company, capable of solving highly ambiguous problems and advancing the craft of your field.</point>
<point>Advanced degree’s (masters or PHD) are beneficial for the role.</point>

</bulletpoints>
<text>

<gh-perks>

<point>Play a direct role in shaping the future of mobility.</point>
<point>Impact millions of customers and partners in 600+ cities across 50+ countries.</point>
<point>Work in fast-moving autonomous teams with some of the smartest people in the world. </point>
<point>Accelerate your professional growth with unique career opportunities.</point>
<point>Get a rewarding salary and stock option package that lets you focus on doing your best work.</point>
<point>Enjoy the flexibility of working in a hybrid mode.</point>
<point>Take care of your physical and mental health with our wellness perks.</point>

</bulletpoints>
<text>*Some perks may differ depending on your location.</text>
</gh-perks>

#LI-Hybrid

","hiringOrganization":{"@type":"Organization","name":"Bolt","sameAs":"https://bolt.eu/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berlin, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Associate Director Product Analytics","datePosted":"2025-07-21","description":"

At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together.

40% of all food produced in the world is wasted. And that has a huge impact on the health of our planet, with 10% of greenhouse gas emissions coming from food waste.

We’re more than an app: we are a certified B Corporation with a mission to empower everyone to take action against food waste, so alongside our marketplace app, we create educational tools, explore new business solutions - such as our Retail Technologies offering, and influence legislation to help reduce food waste.

We’re growing fast: Our community of 124 million registered users and 252,000 active partners across 19 countries have together already prevented 473+ million meals from going to waste - avoiding over 1.278.000 tonnes of CO2e!

The Role

We are looking for an Associate Director Product Analytics to own and manage Product Analytics in our Partner Domain. As Associate Director, you will lead a team of analysts and partner closely with Product leadership to drive data-informed product strategy and development. You will be responsible for elevating the use of data to uncover insights, shape roadmaps, and measure impact—ensuring analytics is a strategic lever in shaping our product experience on both sides of the marketplace.

You’ll combine hands-on analytical expertise, strong business acumen, and people leadership to build scalable foundations for experimentation, product measurement, and strategic insight generation. Together with our PMs, the VP of Product, and your counterparts in the broader Data Analytics team you will work to make the user experience of our app the best it can be, helping directly to save food from the bin.

Responsibilities

Operational Excellence

Proactively identify and address gaps in tracking, data models, tooling, and processes that limit product insight or experimentation velocity.
Partner with Data Engineering and Data Analytics leads to ensure scalable, high-quality data foundations and reporting.
Contribute to the analytics leadership group, driving cross-domain alignment and advancing the analytics craft across the company.

Strategic Partnership & Impact

Act as the strategic analytics partner to senior Product leaders, influencing decisions with actionable insights and product performance frameworks.
Drive clarity and focus by defining and aligning success metrics, identifying key user behaviors, and prioritizing analysis to support product goals.
Champion a culture of experimentation by ensuring robust test design, statistical rigor, and thoughtful interpretation of A/B test results.

Team Leadership & Development

Lead, coach, and grow a team of product analysts, setting clear development paths and creating an environment of continuous learning and feedback.
Foster a strong sense of ownership, curiosity, and collaboration within the team and across stakeholders.
Define and embed best practices in analytics workflows, stakeholder engagement, and knowledge sharing.

Requirements

Experience

Proven track record of driving impact in product-led organizations, ideally within a dual-sided marketplace.
Strong experience partnering with product and engineering stakeholders and influencing at senior levels.
You have proven experience in analytics or data science, including strong experience in product analytics and substantial experience in managing teams successfully

Technical & Analytical Skills

Deep expertise in experimentation (A/B testing), product metrics frameworks (e.g., north star metrics, metric trees), and causal inference techniques.
Proficiency in SQL and at least one scripting/statistical language (Python or R).
Familiarity with product analytics tools such as Amplitude or Mixpanel and BI tools like Looker or Tableau.
Understanding of data modeling principles and modern data stacks (e.g., dbt, Snowflake).

Leadership & Communication

Skilled at navigating ambiguity and translating complex data into clear, compelling narratives for non-technical audiences.
Strong prioritization, project management, and stakeholder management skills.
Demonstrated ability to mentor and grow talent, build team culture, and lead through influence.

Bonus

Experience working in international or multi-market product environments.
Exposure to both B2C and B2B product analytics is a plus.

Our values

We win together: Food waste is a big beast to fight. We can do it if we win together as Waste Warriors with no ego. We believe in a #oneteam.
We raise the bar: We always push for more. We work smart, smash barriers and elevate one another.
We keep it simple: Our ambitions are bold but our solutions are simple.
We build a legacy: We’re proud of the change we’re driving.
We care: We always look out for each other. Caring is also about the way we do business. We do the right thing.

What We Have To Offer

An opportunity to work in a global social-impact company and certified B Corporation! where you can see a real and tangible impact in your role.
To be an integral member of our defined product teams. We are eager for you to make an impact and contribute to the product scope and development; Your insights are valuable, and we are here to listen.
Work-life balance is important to us! Focus on the job to be done, not the hours spent, there is no need for overtime.
We trust in our employees and encourage an autonomous environment that provides several opportunities for employees to contribute, develop and take ownership of their work in a way that works for them.
To be part of an international company, with over 1,300+ colleagues across 19 countries that are on the same important mission.

We may be able to support you with a working visa in Copenhagen, please be prepared to discuss this topic further as your first stage interview. We are also ready to consider candidates who will be relocating themselves to Copenhagen for this role (we work in the office in a weekly hybrid set-up).

How to apply

We take recruitment very seriously, so please carefully read everything we have written above. Please also check our website and international media in order to get a good overview of Too Good To Go.
Submit your CV and Cover letter in English.
Please note that we only accept applications coming through our platform. No CV or Cover Letter will be accepted by email or LinkedIn direct messaging.

Job Ref: #LI-TC1

#LI-Hybrid

A Movement for Everyone
We want to inspire and empower everyone to fight food waste together. With that mission, it’s only natural that we want to build a diverse and inclusive team of highly capable individuals who are passionate about doing things in a better way. We strongly believe we all excel and are more creative when we’re allowed to be ourselves, and we’re committed to a culture where all of us belong.
We are an equal opportunity employer and all employment is decided on the basis of qualifications, merit and business need. If you need reasonable accommodation at any point in the application or interview process, please let us know.

","hiringOrganization":{"@type":"Organization","name":"Too Good To Go","sameAs":"https://toogoodtogo.org/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"København, Hovedstaden, Denmark","addressCountry":"Denmark","addressRegion":"Europe"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Product Analytics, Senior Associate","datePosted":"2025-07-15","description":"

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

athenahealth is a progressive, innovation-driven software product company. We partner with healthcare organizations across the care continuum to drive clinical and financial results. Our expert teams build modern technology on an open, connected ecosystem, yielding insights that make a difference for our customers and their patients. We maintain a unique values-driven employee culture and offer a flexible work-life balance. As evidence of our rapid growth and industry leadership, we were acquired by the world’s leading private equity firm “Bain Capital” in 2021 for $17bn! and we have many new strategic product initiatives.

We are headquartered in Boston, and our other offices are located in Atlanta, Austin, Belfast, and Burlington. In India, we have offices in Bangalore, Pune, and Chennai.

Job Summary:  We are looking for a Product Analytics Senior Associate to join our team to drive improvement and value in the athenahealth product team in Bangalore. Your job will be to partner with Product Management, Development, and Strategy supporting planning and decision making by providing relevant and timely athenaOne-based data, analytics, and insights. Some of the things you will do include: exploring opportunities for product improvement; scoping impact of product decisions on clients; informing backlog prioritization through research & investigation; and building & monitoring effective release metrics and KPIs.

You are passionate about problem-solving and know how to energize cross-functional teams around a problem and use data to identify and prioritize solutions. You are skilled at creating meaningful analysis with large, complex datasets and using query languages, ETL tools, data modeling, and data visualization. You have strong attention to detail and are at your best when tackling new problems and supporting innovation.

The Team: We are a diverse group of athenistas who believe that being smart about how we use data can lead to better products and more value for our clients. We don't just pull data and create analyses, we create compelling stories driven by the context of our customers and the vision of athenahealth. We believe we are strongest when we support each other, and that learning is always part of the job.

Job Responsibilities

Work with Product Managers to determine the measures of success and guide good usage of outcome driven metrics
Pull user, transaction, and other data from complex systems in order to format into reports and analyses for the Product Managers
Synthesize results to determine success or failure of experiments and make recommendations on go forward plan
Create and maintain easy to use visuals (e.g. dashboard, report card, etc) to keep Product teams informed of product/feature performance
Reinforce the use of standardized data assets and metrics, and help surface and fill gaps as discovered
Develop and manage strong, collaborative relationships with associated product team

Typical Qualifications

Ability to synthesize complex, high quantity and sometimes contradictory information to effectively solve business problems
Demonstrated ability to use a variety of tools, techniques, and processes to gather and report data
Ability to effectively communicate technical ideas to various audiences
Ability to collaborate across a range of audiences, both internal and external audiences, and across a range of cohorts
Ability to provide sound rationale for recommendations to gain others’ support and commitment
Excellent verbal and written communication skills

Education and experience

Bachelor’s Degree required; Degree (Bachelor’s or Masters) in quantitative disciplines like Computer Science, Data Engineering, Data Science, Statistics, Analytics, or Information Systems preferred
5+ years overall professional experience, preferably including 2-3 years of data analytics or data science
Strong understanding of database technologies and ability to write code to gather data. SQL experience mandatory
Demonstrated experience with an array of analytical tools and methods including data visualizations (Tableau, Power BI, etc), and programming languages (Python, R, etc)

About athenahealth

Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

Our company culture: Our talented  employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support.

Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve.

What we can do for you:

Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative  workspaces  — some offices even welcome dogs.

We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.

In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.

Learn more about our culture and benefits here: athenahealth.com/careers

https://www.athenahealth.com/careers/equal-opportunity

","hiringOrganization":{"@type":"Organization","name":"athenahealth","sameAs":"https://www.athenahealth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore - Whitefield India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Staff Product Analytics Engineer","datePosted":"2025-08-01","description":"

About Dutchie

Founded in 2017, Dutchie is a comprehensive technology platform powering dispensary operations, while providing consumers with safe and easy access to cannabis. Dutchie aims to further support the positive societal change the cannabis industry brings to the world through wellness benefits, social justice, and empowering local communities through tax revenue. Powering thousands of dispensaries across 40+ markets throughout the United States and Canada, Dutchie is the leading technology company in the cannabis space and was named in Fast Company’s 10 Most Innovative Companies in North America and listed two years in a row on LinkedIn’s Top 50 Startups.

Dutchie has raised over $600M in funding to date, backed by D1 Capital Partners, Tiger Global, Dragoneer, DFJ Growth, Thrive Capital, Howard Schultz, Snoop Dogg’s Casa Verde Capital, Gron Ventures, members of the founding team at DoorDash, Kevin Durant’s Thirty Five Ventures, and other notable angel investors.

About the Role:

We are seeking an experienced and visionary Staff Engineer to play a pivotal role in shaping our reporting strategy, analytics architecture, and customer-facing data experiences. This individual will serve as a technical and thought leader, leveraging deep expertise to design and implement cutting-edge reporting solutions that make the best use of our data platform. The ideal candidate will possess extensive experience with modern analytics tools, application development, and data visualization technologies, with a strong understanding of underlying data infrastructure. We are looking for someone who not only excels in building robust reporting applications, but will also drive innovation by discovering new ways to transform data into actionable insights that enhance customer experiences and power smarter business decisions. You'll partner closely with Data Engineering to help build trusted, performant and scalable reporting products while focusing on the application layer that brings our data to life for users.

What You’ll Do...

Technical Leadership:

Lead the design and implementation of scalable, reliable, and performant reporting applications and analytics solutions.
Establish best practices and frameworks for application development, data visualization, and analytics engineering, ensuring performance, scalability, and maintainability.
Mentor and collaborate with team members, fostering growth and innovation in both technical and analytical skills.
Help guide and lead more junior engineers to deliver on key outcomes for the team.

Application Development:

Build and optimize customer-facing reporting applications using .NET C# and React.
Architect responsive, intuitive user interfaces that make complex data accessible and actionable.
Develop robust APIs and backend services to power reporting functionality.
Ensure application performance, security, and scalability across the full stack.

Analytics Engineering:

Design and implement data transformations and models using DBT to support reporting needs.
Build efficient SQL queries and stored procedures to extract insights from large datasets.
Collaborate with Data Engineering to optimize data pipelines for reporting use cases.
Create and maintain data marts and analytical models in Snowflake.

Data Visualization and Business Intelligence:

Develop compelling dashboards and reports using Looker and custom visualization solutions.
Partner with stakeholders to translate business requirements into technical reporting solutions.
Design self-service analytics capabilities that empower users to explore data independently.
Establish data storytelling best practices across the organization.

Cloud and Infrastructure Understanding:

Leverage AWS services to build and deploy reporting applications at scale.
Collaborate with infrastructure teams to ensure optimal performance and cost efficiency.
Implement monitoring and observability for reporting applications and data workflows.

Innovation and Strategy:

Stay ahead of industry trends in analytics, business intelligence, and data visualization.
Identify opportunities to enhance our reporting capabilities and customer data experiences.
Drive technical decisions that align with business objectives and customer needs.

Cross-functional Collaboration:

Partner closely with Data Engineering to understand and leverage our data platform capabilities.
Work with product managers, designers, and stakeholders to deliver impactful reporting solutions.
Communicate technical concepts effectively to diverse audiences, from engineers to business leaders

What You Bring...

8+ years of hands-on experience in application development with a strong focus on analytics and reporting engineering.
Expertise in modern application development technologies, including C# .NET, React, and RESTful API design.
Strong proficiency with database technologies and advanced SQL skills, including experience with Snowflake, SQL Server, PostgreSQL, and data warehouse optimization.
Extensive experience in analytics engineering, including data modeling, transformation frameworks (DBT), and building scalable reporting solutions.
Advanced knowledge of AWS cloud services, particularly those supporting application deployment and data analytics.
Proficiency in business intelligence and data visualization tools, with hands-on experience in Looker or similar platforms.
Strong understanding of data infrastructure concepts, ETL/ELT processes, and data pipeline architecture (implementation experience preferred but not required).
Experience building customer-facing analytics products, dashboards, and self-service reporting capabilities.
Familiarity with observability and monitoring tools for application performance and data quality.
Demonstrated ability to translate complex business requirements into scalable technical solutions.
Strong mentorship and technical leadership experience, with a track record of guiding junior engineers.
Excellent communication skills and experience collaborating with cross-functional teams, including data engineers, product managers, and business stakeholders.

It’s a bonus if you...

Have experience in the cannabis industry or retail/e-commerce environments, with an understanding of complex regulatory and compliance reporting requirements.
Possess hands-on data engineering experience, including building and maintaining ETL/ELT pipelines or data infrastructure.
Have a history of contributing to open source projects, demonstrating community engagement and technical leadership.
Experience with additional cloud platforms such as Azure or GCP.
Knowledge of real-time analytics, event streaming, or distributed data processing systems.
Experience leading small-medium sized development teams or analytics engineering initiatives.

You’ll Get…

We are targeting a starting salary of $162,000 - $220,000 based on the intended level for this role.

In addition to cash compensation, our total rewards package includes:

Full medical benefits including dental and vision plans to ensure you always have the best care.
Equity packages in the form of stock options to all employees.
Technology (hardware, software, reading materials, etc..) allowance
Flexible vacation and sick days

#LI-AH1

At Dutchie, we’re committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Dutchie believes that diversity and inclusion among our teammates is critical to our success, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.

","hiringOrganization":{"@type":"Organization","name":"Dutchie","sameAs":"https://dutchie.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Senior Manager, Product Analytics","datePosted":"2025-08-06","description":"

About Ethos

Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones.

We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We’ve issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health.

We make getting life insurance easier, faster and better for everyone.

Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights' Global Insurtech 50 list and BuiltIn's Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families!

About the Role
As the Senior Manager of Product Analytics in the direct-to-consumer (DTC) vertical, you will lead a high-performing team while remaining hands-on in your approach. You will work closely with Product, Engineering, and Lifecycle teams to define goals, analyze user behavior, and generate insights that influence decision-making and product prioritization. This role balances technical contributions with mentoring and coaching a team, fostering a culture of collaboration, innovation, and data-driven decision-making. Your work will have a direct impact on optimizing user experience and improving growth and acquisition efforts.

Duties and Responsibilities

Partner with PMs to define feature goals, implement tracking, and analyze results from experimentation to measure success.
Lead and mentor a team of product analysts, providing career development and technical guidance.
Balance hands-on technical work, including developing dashboards and querying data, with leadership responsibilities.
Build and execute a multi-quarter roadmap for analytics, ensuring alignment with product and business goals.
Perform exploratory analyses and deep dives into large data sets to uncover actionable insights, trends, and opportunities across the product funnel.
Collaborate with Engineering to implement well-defined taxonomies and ensure analysis-friendly data production.
Foster a data-driven culture by promoting best practices in experimentation, causal inference, and storytelling through data.
Present findings and recommendations to executives and cross-functional stakeholders in a clear and actionable manner.

Qualifications and Skills

8+ years of experience in data analysis, data science, or a related field, with a focus on product analytics.
3+ years of experience as a people manager, with a demonstrated ability to mentor and lead teams.
Expert knowledge of SQL.
Strong expertise with data visualization tools (e.g., Tableau, Looker, Amplitude) and a scripting language such as Python or R (preferred).
Proven track record of designing and analyzing A/B tests and applying experimentation best practices.
Experience with statistical methods, such as regression analysis and hypothesis testing.
Ability to balance hands-on technical contributions with leadership responsibilities in a fast-paced environment.
Strong communication skills, with the ability to effectively present insights and recommendations to various audiences, including executives.

#LI-Hybrid

#LI-DG1

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.

We are an equal opportunity employer who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.

To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.

","hiringOrganization":{"@type":"Organization","name":"Ethos","sameAs":"https://www.ethoslife.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Director of Product Analytics","datePosted":"2025-08-05","description":"

Company Overview

Founded in 2015, Phil is a Series D health-tech startup that is building a platform that interfaces between doctors, pharmacies, and patients to streamline the process of patients receiving prescriptions. This is a complex, archaic industry, and we've set out to change that.

Phil’s B2B2C platform provides an end-to-end prescription management and delivery service. Our platform connects patients, prescribers, pharmacies, and manufacturers, enabling easy and affordable access to medicine. Through its digital stakeholder experiences, patient access services, market access solutions, and distribution models, pharma manufacturers can deliver affordable and timely therapy access to patients, resulting in more patients staying on their treatment plans longer. Consequently, pharma manufacturers are enabled for more innovation.

The team at Phil is a group of like-minded individuals from varying backgrounds, passionate about creating a new and innovative healthcare platform that is focused on patient experience and overall human wellbeing. Ready to join our team of mission-driven, analytical, and passionate people? Keep reading!

Position Overview

We are looking for a Director of Product Analytics to own product analytics at Phil. In this role, you’ll partner closely with Product, Engineering, Design, and Operations to uncover insights, monitor performance, and shape decisions that improve the patient and provider experience. You’ll lead deep dives into user behavior, optimize funnels, support experimentation, and help define the metrics that guide our product roadmap. As the first dedicated product analytics hire, you’ll have the opportunity to build foundational practices that influence the direction of our platform and business.

Responsibilities

Develop and execute the product analytics strategy aligned with company goals and product roadmap
Own key product metrics and proactively identify opportunities to improve conversion, engagement, and operational behavior
Conduct deep dive analyses to explain user behavior and inform product decisions
Collaborate with Product and Engineering to define and track success metrics for new features and initiatives
Design and evaluate A/B tests to assess impact and evaluate rollouts
Build dashboards and reporting to make data accessible and actionable across the company
Develop and maintain clear, trustworthy data definitions and documentation
Partner with cross-functional teams to drive a culture of data-informed decision making

Requirements

8+ years of experience in product analytics, data science, or related fields
Experience analyzing user funnels, cohorts, retention, and product usage
Ability to communicate insights clearly and influence product strategy
Experience with A/B testing frameworks and experimental design
Strong SQL skills and comfort working directly with data warehouses and BI tools (e.g. Looker, Tableau, Mixpanel, etc)
Comfortable working in a fast-paced, ambiguous environment with cross-functional partners
Prior experience in an operations-heavy platform is a plus

Benefits

Ground floor opportunity with one of the fastest-growing healthtech startups
Competitive compensation
Full benefits (medical, dental, vision)
401(k) contribution opportunity
Solving a problem that matters

PHIL inc is an equal opportunity employer

","hiringOrganization":{"@type":"Organization","name":"PHIL","sameAs":"https://phil.us/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Senior Analyst - Product Analytics","datePosted":"2025-08-07","description":"

Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year.

Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA.

We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies.

We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us!

This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events.

About the role:

Welcome to the Product Operations team – the backbone of our product organization! We make sure everything runs smoothly for our product team across the product life cycle. Our mission? To ensure our team has everything they need to set brilliant strategies, work efficiently, and bring exceptional value to our customers and company.

As our Sr Analyst, Product Analytics your primary responsibility will be to own the development of our product analytics capabilities. This is a chance to truly shape a new function at Ironclad, leaving a lasting impact on our organization, company, and customers. You'll be at the heart of collaboration, working with amazing folks across Product, Engineering, Design, Marketing, Customer Success, Sales, Finance, and Analytics.

What you’ll be doing:

Collaborate with Product and our data analytics team to enhance our voice of customer program; including how we gather, analyze, and act on feedback.
Ensuring we have the best tools to support our product organization. Plus, you'll lead employee onboarding programs creating a seamless experience for new hires to hit the ground running.
Apply your analytical prowess to identify trends from Amplitude, performance reports, and product utilization data, turning raw information into actionable insights.
Support product managers including developing and maintaining advanced dashboards, reports and visualizations to track and communicate product performance metrics
Manage the day-to-day operational flow of product initiatives, from initial roadmap planning and feature release management to feature request coordination and the successful execution of beta programs.
Spot inefficiencies and implement process improvements. Identify opportunities to enhance our existing tools, including rationalizing our current toolset and implementing automation to drive efficiency and quality improvements.
Drive various assigned special projects, which may include orchestrating complex product launches across multiple business units, deploying new tools to enhance team capabilities and piloting innovative programs.
Actively monitor and reinforce best practices to ensure widespread adoption, champion adherence to established operational standards and fostering consistency across all Product teams.

Key Skills:

You naturally conduct research, break down complex problems, and analyze information to discover the most effective solutions.
Possessing a strong knowledge of continuous improvement methodologies, process modeling, and data analysis to continuously enhance our operational efficiency.
You possess a keen attention to detail, accurately mapping out processes and identifying issues for resolution.
You can expertly manage projects from planning through execution to ensure successful outcomes.
You have an understanding of business operations, aligning process improvements with business goals.
You can communicate complex ideas clearly and work seamlessly and collaboratively with diverse cross-functional teams.
You're always excited to dive into new challenges, ask insightful questions, and proactively seek innovative solutions.

Qualifications:

2+ years of experience in product analytics, preferable in a high-velocity product environment, with a track record of delivering impactful insights and driving growth
2+ years of experience in Program Management, Product Operations, Product Management experience, or related functions.
BS in CS or related field. Preference for background in Legal Technology and Product Development.
2+ Years experience with all phases of the Software Development Life Cycle
Proficiency with data visualization tools such as Amplitude, Looker, or similar tools to create compelling dashboards and reports
Experience with agile tools and practices (e.g JIRA, Notion, Asana, Confluence)
Experience verbal, written communication and data presentation skills
Experience working with SAFe methodology, sprint-based approaches

Let's embark on this exciting journey together and achieve great things!

Benefits:

Health, dental, and vision insurance
401k
Wellness reimbursement
Take what you need vacation policy
Generous parental leave for both primary and secondary caregivers

Base Salary Range: $95,000 - $115,000

The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

","hiringOrganization":{"@type":"Organization","name":"Ironclad","sameAs":"https://ironcladapp.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Data Scientist, Product Analytics","datePosted":"2025-08-13","description":"As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.Data Scientist, Product Analytics Responsibilities

Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Minimum Qualifications

Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
6+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
6+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]

Preferred Qualifications

Master's or Ph.D. Degree in a quantitative field

Highlights

Location: Remote (CET hours preferred)
Compensation: $4,500 - $4,900 + stock options
Language: Russian-speaking team; English C1 required

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.

The Team

We are a distributed team of 120+ product professionals, including 35+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. Biweekly engineering forums give space to share learnings and celebrate technical achievements. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the Role

As the Team Lead for Product Analytics, you will be in charge of a growing team (starting with one analyst) and will be instrumental in its expansion. Your core mission is to spearhead the product analytics function, partnering closely with our Sales, Marketing, Customer Success (CSM), and Partnership teams. Given the scale of our platform, these teams depend on robust data to measure effectiveness and drive strategy. While the product development team is Russian-speaking, our primary audience and business stakeholders are in the US, so fluent English communication is essential.

What You’ll Do

Partner with stakeholders across Product, Sales, Marketing, CSM, and Partnerships to understand their data needs and deliver insights.
Lead the analytics team by managing its workload, defining the project roadmap, and ensuring timely delivery of all initiatives.
Mentor and develop your team members, creating personalized growth plans and conducting regular 1-on-1s.
Identify trends in user behavior to inform product development and strategy.
Build and own the data pipeline for calculating and reporting on key product metrics.
Design and analyze A/B tests to drive product improvements.
Handle ad-hoc analytical requests from across the organization.

Requirements

5+ years of experience in an analytics role.
2+ years of experience leading or managing an analytics team.
A strong foundation in mathematical statistics and probability theory.
Proficiency in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
Experience with time-series analysis.
Advanced proficiency in SQL.
Hands-on experience with BI tools (Tableau, Power BI, Metabase, etc.).
Excellent command of written and spoken English (C1 level minimum) to effectively collaborate with our English-speaking stakeholders.
A strong sense of ownership and a reputation for reliability and follow-through.

Bonus points

Curiosity and a hypothesis-driven mindset
Ability to communicate complex analytical concepts to non-technical audiences
Detail-oriented with a strong sense of ownership
Comfort working in fast-paced, data-rich environments

Our Tech Stack

Languages/Frameworks: Python
Databases: ClickHouse, MongoDB, PostgreSQL
BI & Visualization: Tableau, Grafana, Metabase
Orchestration: Airflow
Version Control: Git

Why work with us

A strong, collaborative product team that owns what it builds
Clear product vision and access to real customer feedback from global nonprofit leaders
Flat structure: no politics, just great work with great people
Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

31 days off
100% paid telemedicine plan
Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
English learning courses
Relevant professional education
Gym or swimming pool
Co-working
Remote working.

**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.

","hiringOrganization":{"@type":"Organization","name":"Fundraise Up","sameAs":"https://fundraiseup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Turkey - Remote","addressCountry":"Turkey","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Team Lead Product Analytics","datePosted":"2025-08-18","description":"

Highlights

Location: Remote (CET hours preferred)
Compensation: €6,000 - €6,500 + stock options
Language: Russian-speaking team; English C1 required

About Fundraise Up

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

The Team

About the Role

What You’ll Do

Partner with stakeholders across Product, Sales, Marketing, CSM, and Partnerships to understand their data needs and deliver insights.
Lead the analytics team by managing its workload, defining the project roadmap, and ensuring timely delivery of all initiatives.
Mentor and develop your team members, creating personalized growth plans and conducting regular 1-on-1s.
Identify trends in user behavior to inform product development and strategy.
Build and own the data pipeline for calculating and reporting on key product metrics.
Design and analyze A/B tests to drive product improvements.
Handle ad-hoc analytical requests from across the organization.

Requirements

5+ years of experience in an analytics role.
2+ years of experience leading or managing an analytics team.
A strong foundation in mathematical statistics and probability theory.
Proficiency in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
Experience with time-series analysis.
Advanced proficiency in SQL.
Hands-on experience with BI tools (Tableau, Power BI, Metabase, etc.).
Excellent command of written and spoken English (C1 level minimum) to effectively collaborate with our English-speaking stakeholders.
A strong sense of ownership and a reputation for reliability and follow-through.

Bonus points

Curiosity and a hypothesis-driven mindset
Ability to communicate complex analytical concepts to non-technical audiences
Detail-oriented with a strong sense of ownership
Comfort working in fast-paced, data-rich environments

Our Tech Stack

Languages/Frameworks: Python
Databases: ClickHouse, MongoDB, PostgreSQL
BI & Visualization: Tableau, Grafana, Metabase
Orchestration: Airflow
Version Control: Git

Why work with us

A strong, collaborative product team that owns what it builds
Clear product vision and access to real customer feedback from global nonprofit leaders
Flat structure: no politics, just great work with great people
Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

31 days off
100% paid telemedicine plan
Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
English learning courses
Relevant professional education
Gym or swimming pool
Co-working
Remote working.

","hiringOrganization":{"@type":"Organization","name":"Fundraise Up","sameAs":"https://fundraiseup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Poland - Remote","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Team Lead Product Analytics","datePosted":"2025-08-18","description":"

Highlights

Location: Remote (CET hours preferred)
Compensation: €5,700 - €6,200 + stock options
Language: Russian-speaking team; English C1 required

About Fundraise Up

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

The Team

About the Role

What You’ll Do

Partner with stakeholders across Product, Sales, Marketing, CSM, and Partnerships to understand their data needs and deliver insights.
Lead the analytics team by managing its workload, defining the project roadmap, and ensuring timely delivery of all initiatives.
Mentor and develop your team members, creating personalized growth plans and conducting regular 1-on-1s.
Identify trends in user behavior to inform product development and strategy.
Build and own the data pipeline for calculating and reporting on key product metrics.
Design and analyze A/B tests to drive product improvements.
Handle ad-hoc analytical requests from across the organization.

Requirements

5+ years of experience in an analytics role.
2+ years of experience leading or managing an analytics team.
A strong foundation in mathematical statistics and probability theory.
Proficiency in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
Experience with time-series analysis.
Advanced proficiency in SQL.
Hands-on experience with BI tools (Tableau, Power BI, Metabase, etc.).
Excellent command of written and spoken English (C1 level minimum) to effectively collaborate with our English-speaking stakeholders.
A strong sense of ownership and a reputation for reliability and follow-through.

Bonus points

Curiosity and a hypothesis-driven mindset
Ability to communicate complex analytical concepts to non-technical audiences
Detail-oriented with a strong sense of ownership
Comfort working in fast-paced, data-rich environments

Our Tech Stack

Languages/Frameworks: Python
Databases: ClickHouse, MongoDB, PostgreSQL
BI & Visualization: Tableau, Grafana, Metabase
Orchestration: Airflow
Version Control: Git

Why work with us

A strong, collaborative product team that owns what it builds
Clear product vision and access to real customer feedback from global nonprofit leaders
Flat structure: no politics, just great work with great people
Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

31 days off
100% paid telemedicine plan
Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
English learning courses
Relevant professional education
Gym or swimming pool
Co-working
Remote working.

","hiringOrganization":{"@type":"Organization","name":"Fundraise Up","sameAs":"https://fundraiseup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cyprus - Remote","addressCountry":"Cyprus","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Team Lead Product Analytics","datePosted":"2025-08-18","description":"

Highlights

Location: Remote (CET hours preferred)
Compensation: €5,700 - €6,200 + stock options
Language: Russian-speaking team; English C1 required

About Fundraise Up

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

The Team

About the Role

What You’ll Do

Partner with stakeholders across Product, Sales, Marketing, CSM, and Partnerships to understand their data needs and deliver insights.
Lead the analytics team by managing its workload, defining the project roadmap, and ensuring timely delivery of all initiatives.
Mentor and develop your team members, creating personalized growth plans and conducting regular 1-on-1s.
Identify trends in user behavior to inform product development and strategy.
Build and own the data pipeline for calculating and reporting on key product metrics.
Design and analyze A/B tests to drive product improvements.
Handle ad-hoc analytical requests from across the organization.

Requirements

5+ years of experience in an analytics role.
2+ years of experience leading or managing an analytics team.
A strong foundation in mathematical statistics and probability theory.
Proficiency in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
Experience with time-series analysis.
Advanced proficiency in SQL.
Hands-on experience with BI tools (Tableau, Power BI, Metabase, etc.).
Excellent command of written and spoken English (C1 level minimum) to effectively collaborate with our English-speaking stakeholders.
A strong sense of ownership and a reputation for reliability and follow-through.

Bonus points

Curiosity and a hypothesis-driven mindset
Ability to communicate complex analytical concepts to non-technical audiences
Detail-oriented with a strong sense of ownership
Comfort working in fast-paced, data-rich environments

Our Tech Stack

Languages/Frameworks: Python
Databases: ClickHouse, MongoDB, PostgreSQL
BI & Visualization: Tableau, Grafana, Metabase
Orchestration: Airflow
Version Control: Git

Why work with us

A strong, collaborative product team that owns what it builds
Clear product vision and access to real customer feedback from global nonprofit leaders
Flat structure: no politics, just great work with great people
Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

31 days off
100% paid telemedicine plan
Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
English learning courses
Relevant professional education
Gym or swimming pool
Co-working
Remote working.

","hiringOrganization":{"@type":"Organization","name":"Fundraise Up","sameAs":"https://fundraiseup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Spain - Remote","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Team Lead Product Analytics","datePosted":"2025-08-18","description":"

Highlights

Location: Remote (CET hours preferred)
Compensation: 609,500 - 679,500 Serbian dinars + stock options
Language: Russian-speaking team; English C1 required

About Fundraise Up

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

The Team

About the Role

What You’ll Do

Partner with stakeholders across Product, Sales, Marketing, CSM, and Partnerships to understand their data needs and deliver insights.
Lead the analytics team by managing its workload, defining the project roadmap, and ensuring timely delivery of all initiatives.
Mentor and develop your team members, creating personalized growth plans and conducting regular 1-on-1s.
Identify trends in user behavior to inform product development and strategy.
Build and own the data pipeline for calculating and reporting on key product metrics.
Design and analyze A/B tests to drive product improvements.
Handle ad-hoc analytical requests from across the organization.

Requirements

5+ years of experience in an analytics role.
2+ years of experience leading or managing an analytics team.
A strong foundation in mathematical statistics and probability theory.
Proficiency in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
Experience with time-series analysis.
Advanced proficiency in SQL.
Hands-on experience with BI tools (Tableau, Power BI, Metabase, etc.).
Excellent command of written and spoken English (C1 level minimum) to effectively collaborate with our English-speaking stakeholders.
A strong sense of ownership and a reputation for reliability and follow-through.

Bonus points

Curiosity and a hypothesis-driven mindset
Ability to communicate complex analytical concepts to non-technical audiences
Detail-oriented with a strong sense of ownership
Comfort working in fast-paced, data-rich environments

Our Tech Stack

Languages/Frameworks: Python
Databases: ClickHouse, MongoDB, PostgreSQL
BI & Visualization: Tableau, Grafana, Metabase
Orchestration: Airflow
Version Control: Git

Why work with us

A strong, collaborative product team that owns what it builds
Clear product vision and access to real customer feedback from global nonprofit leaders
Flat structure: no politics, just great work with great people
Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

31 days off
100% paid telemedicine plan
Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
English learning courses
Relevant professional education
Gym or swimming pool
Co-working
Remote working.

","hiringOrganization":{"@type":"Organization","name":"Fundraise Up","sameAs":"https://fundraiseup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Serbia - Remote","addressCountry":"Serbia","addressRegion":"Europe"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Team Lead Product Analytics","datePosted":"2025-08-18","description":"

Highlights

Location: Remote (CET hours preferred)
Compensation: $4,500 - $4,900 + stock options
Language: Russian-speaking team; English C1 required

About Fundraise Up

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

The Team

About the Role

What You’ll Do

Partner with stakeholders across Product, Sales, Marketing, CSM, and Partnerships to understand their data needs and deliver insights.
Lead the analytics team by managing its workload, defining the project roadmap, and ensuring timely delivery of all initiatives.
Mentor and develop your team members, creating personalized growth plans and conducting regular 1-on-1s.
Identify trends in user behavior to inform product development and strategy.
Build and own the data pipeline for calculating and reporting on key product metrics.
Design and analyze A/B tests to drive product improvements.
Handle ad-hoc analytical requests from across the organization.

Requirements

5+ years of experience in an analytics role.
2+ years of experience leading or managing an analytics team.
A strong foundation in mathematical statistics and probability theory.
Proficiency in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
Experience with time-series analysis.
Advanced proficiency in SQL.
Hands-on experience with BI tools (Tableau, Power BI, Metabase, etc.).
Excellent command of written and spoken English (C1 level minimum) to effectively collaborate with our English-speaking stakeholders.
A strong sense of ownership and a reputation for reliability and follow-through.

Bonus points

Curiosity and a hypothesis-driven mindset
Ability to communicate complex analytical concepts to non-technical audiences
Detail-oriented with a strong sense of ownership
Comfort working in fast-paced, data-rich environments

Our Tech Stack

Languages/Frameworks: Python
Databases: ClickHouse, MongoDB, PostgreSQL
BI & Visualization: Tableau, Grafana, Metabase
Orchestration: Airflow
Version Control: Git

Why work with us

A strong, collaborative product team that owns what it builds
Clear product vision and access to real customer feedback from global nonprofit leaders
Flat structure: no politics, just great work with great people
Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

31 days off
100% paid telemedicine plan
Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
English learning courses
Relevant professional education
Gym or swimming pool
Co-working
Remote working.

","hiringOrganization":{"@type":"Organization","name":"Fundraise Up","sameAs":"https://fundraiseup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Armenia - Remote","addressCountry":"Armenia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Senior Product Analytics Manager","datePosted":"2025-08-19","description":"

Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.
\nMin fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
\nFor everyone, everywhere.

More about our mission and what we offer.

Job Description

Our mission:

Wise Platform takes all of the world-class payments products Wise has built over the last 15 years and enables hundreds of millions of consumers and businesses to access them in the places where they already move and manage their money - with banks, fintechs and online platforms.

Our partners already make up some of the world’s leading banks and platforms, such as Monzo, Morgan Stanley, Nubank and Google. And, we’re just getting started!

The role:
\nWe’re looking for a Senior Product Analytics Manager [AL2] to spearhead growth in our Online Platforms Products vertical. It’s a role that will allow you to have a big impact from day one! You will be at the forefront of growth at Wise, leading one of the newest and fastest growing product lines - earmarked as one of the biggest growth opportunities for the business. You will be working closely with colleagues from sales, product, engineering and more to launch products with some of the largest banks and fintechs in the world 🚀
\n
\nAs part of the vertical leadership team you will shape the priorities of the team, building conviction through your insights and analysis. This role will require you to be hands-on and develop a deep understanding of our products and opportunity areas - with scope to scale the team soon after joining.

You will work on answering questions such as:

Where are our biggest growth and commercial opportunities?
Who should we be selling our products and solutions to? And, how can we position our products to capture prospects' attention?
What products should we be building and/or improving to unlock growth?
What can we do to reduce time to revenue and ensure partners scale effectively?
How can we reduce friction in the transaction lifecycle and improve our products and solutions?

A bit about you:

You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow and Python. All analysts at Wise are expected to be full-stack regardless of level and should be comfortable owning analytics from ingestion to insights.
You have experience working in payments (preferably) or are excited about building an expert understanding of our bank products and solutions, as well as those of our competitors.
You have experience working in a high-growth tech/product environment and have ideally worked closely with sales and product teams before.
You understand sales cycles (ideally enterprise), are familiar with sales metrics/KPIs and have a good working knowledge of tools like Salesforce or similar.
You are commercially minded - comfortable with opportunity sizing, forecasting and scenario modelling.
You (preferably) have line management experience, or experience coaching or developing analysts. And, are comfortable working with stakeholders to identify opportunities where analytics can have an impact - turning this into an analytics roadmap.
You are solution-oriented and able to own projects from start to finish. You are comfortable motivating stakeholders across Wise and negotiating timelines to unblock yourself and make things happen!
You’re an expert at crafting dashboards and visualisations that bring data to life, tell a story and have diagnostic power - even better if you’ve got experience doing this in Looker/Superset.
You have a strong track record of applying quantitative analysis to see beyond the numbers, generate actionable insights and drive the adoption of your proposed changes by influencing stakeholders.
You are an excellent communicator, able to form your own opinions and effectively articulate them to win colleagues round to your way of thinking.

Interview process:

1) Screening call with recruiter - 30 mins

2) Take home Case Study - 7 days to submit

3) Technical Interview - 1.5 hours

4) Stakeholder Interview - 1 hour

5) Final Interview - 1 hour

Preparation material and further context will be provided at each stage.

Some of our benefits:

💰Base salary of £100k - £125k (based on experience)

🚀RSU's in a growing and public company (£50k new joiner grant, +£25k annual topups)

🌎 Work from (almost) anywhere in the world for up to 90 days a year

🏠 Flexible working - you’re trusted to do the right thing and be responsible

🏥 Private Medical Insurance + Life Insurance

🏋️ Discounted gym memberships and cycle to work scheme

🏝️ A paid 6-week sabbatical leave after four years

👶 26 weeks maternity leave at full pay

💪 An annual self-development budget

🚀 Annual Mission Days festival

🐶 Pet friendly offices

🏃‍♀️ Lots of fun group activities like yoga, running and boardgame nights

Find out more about our benefits in our London office.

We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in.

Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you.

And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic.

Additional Information

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
\nInclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

","hiringOrganization":{"@type":"Organization","name":"Wise","sameAs":"https://wise.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Senior Product Manager - Product Analytics","datePosted":"2025-08-07","description":"About Neo4j:\n\n

Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.

At Neo4j, we’re proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart.

Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it’s accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j’s cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at neo4j.com and follow us on LinkedIn.

\n\n \nOur Vision: \n\n

At Neo4j, we have always strived to help the world make sense of data.

As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.

The Team:

As a Product Manager at Neo4j, you will play a key role in shaping the direction and success of our products by leveraging data to deeply understand our business performance and customer behavior. Your focus will be on identifying and monitoring key performance indicators (KPIs), advising on product strategy based on insights, and collaborating cross-functionally to ensure our products meet both business objectives and user needs. You’ll work closely with engineering, marketing, sales, and data teams to turn strategic goals into tangible product outcomes.

The Role:

Own the internal product telemetry product and drive its adoption among product managers and other stakeholders
Analyze large volumes of structured and unstructured data to generate meaningful insights and recommendations.
Define and track product and business KPIs to guide strategic decision-making and evaluate product performance.
Collaborate with data engineers to ensure data is clean, well-organized, and accessible for analysis.
Perform data validation and quality checks to ensure the accuracy and reliability of the data used for reporting and decision-making.
Partner with business stakeholders to ensure decisions are informed by high-quality insights.
Develop and maintain reports, dashboards, and data visualizations to communicate findings to stakeholders.
Work cross-functionally to align product strategy with company goals, customer success, and go-to-market plans.
Stay on top of market trends, competitive landscape, and emerging technologies relevant to your product domain.
Utilize SQL and other querying tools to extract and manipulate data from various databases and systems.
Identify trends, patterns, and opportunities within datasets to help drive strategic business decisions.

What You'll Bring:

3+ years of experience in Product Management, preferably in a SaaS, analytics, or data-driven environment.
Strong analytical background and experience working with KPIs to drive product decisions.
Strong proficiency in SQL for querying and data extraction. Knowledge of Python or other programming languages is a plus.
Experience with data visualization tools such as Tableau, Superset/Preset.io, or Looker.
Experience working with cross-functional teams including engineering, design, and GTM.
Excellent communication skills with the ability to convey complex concepts to both technical and non-technical audiences.
A proven ability to translate insights into strategic plans and product roadmaps.
Experience with data warehousing and cloud platforms like Google Cloud, BigQuery, or similar technologies is a plus.
Bachelor’s degree in Business, Computer Science, Engineering, or a related field (MBA a plus)

Why Join Neo4j?\n\n

Neo4j is, without question, the most popular graph database in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.

Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.
Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history.
84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.
Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success.
Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform.
A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.
Neo4j was named as a Visionary in the 2023 Gartner® Magic Quadrant™ for Cloud Database Management Systems among 19 other recognized global DBMS vendors. Neo4j was also ranked as a Strong Performer among 14 top vendors in The Forrester Wave™: Vector Databases, Q3 2024.

Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.

One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application.

\n\nNeo4j Values:\n\n

Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values:

(we)-[:VALUE]->(relationships)
(we)-[:FOCUS_ON]->(userSuccess)
(we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]})
(we)-[:ASSUME]->(:Intent {direction:’Positive’})
(we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’})
(we)-[:DELIVER_ON]->(ourCommitments)

Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.

\nMore information at www.neo4j.com.","hiringOrganization":{"@type":"Organization","name":"Neo4j","sameAs":"https://neo4j.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote: Northeast US; Remote: Southeast US"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Sr. Analyst, Viewing Product Analytics","datePosted":"2025-08-06","description":"

Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.

Job Description

Partner with Viewing Product teams to understand app performance and deliver recommendations to expand and engage with key audiences
Understand how users navigate the app experience as they enter video playback
Work within large datasets to interpret trends and turn those into sound recommendations
Maintain, update, and distribute actionable dashboards or reports to ensure data democratization and informed decision making
Partner with Data Engineering teams to identify and enhance data sources
Prepare and inform material for senior level executive presentations
Leverage data visualization tools like Tableau to curate reporting for cross-functional teams

Qualifications

2+ years of experience working in a data-oriented role
BA/BS or MS degree in a quantitative area of study (Statistics, Mathematics, Economics, Finance, or Computer Science) or relevant work experience
Proficient in SQL and Excel (R or Python a plus)
Experience with Tableau, Looker, Domo or equivalent data visualization tools
Experience working with large datasets
Knowledge of A/B and multivariate tools, as well as statistical models
Demonstrates strong attention to detail, work ethic, sense of curiosity, accountability, and ability to execute projects of all sizes with vision & purpose
Strong interpersonal skills with the ability to motivate, collaborate and influence
Ability to deliver on multiple projects and meet tight deadlines
Self-driven, confident, resourceful, and resilient
Intellectual curiosity and interest in media industry or product

Additional Requirements:

Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.

Salary range: $85,000 - $115,000

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

The Product Analytics team is responsible for improving the effectiveness of Grab's Technology and Data Platforms, which serve millions of users daily. Our mission is to build a suite of platforms that enable Grabbers to work smarter, faster, and more collaboratively.

Get to Know the Role

We are looking for a Lead Product Designer to join our Product Analytics team. You will work with product, engineering, data science, and analytics teams to identify opportunities for improvement and develop solutions that impact our bottom line and velocity to impact. You will report to the Senior Design Manager and work onsite at the Grab Malaysia office.

The Critical Tasks You Will Perform

Lead product design from early insight to final solutions — transforming ideas into clear, intuitive experiences that deliver real value to users and the business.
Collaborate cross-functionally with product managers, engineers, researchers, and stakeholders to align on impactful, user-centric solutions that meet business goals.
Drive product discovery by planning and conducting user research, synthesizing insights, and translating findings into actionable design opportunities.
Support and enhance the design system by creating and documenting new components, refining existing ones, and ensuring consistency across products.
Communicate your design work by presenting solutions, rationale, and processes clearly to team members and stakeholders, driving alignment and shared understanding across functions.

Qualifications

What Essential Skills You Will Need

6+ years of direct experience in product design.
Portfolio of recent design work (at least 2 completed case studies in English): Showcase your contributions, the impact of your projects, and provide clear context. Highlight your end-to-end workflow, detailing how you move from problem discovery to launch.
User research: Experience conducting user research using diverse methods and translating findings into actionable product requirements or improvements.
Strong understanding of user experience: Proven expertise in designing responsive interfaces, with a strong understanding of modern standards and front-end development principles.
Eye for visual design: Hands-on experience creating intuitive, visually appealing user interfaces. Your work solves problems and aligns with best practices.
Collaboration across teams: Demonstrated experience working across team boundaries with diverse stakeholders.
Proficiency with modern design tools: Hands-on experience with tools like Figma and ProtoPie. Prototype and present design concepts to stakeholders.

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

We have your back with Term Life Insurance and comprehensive Medical Insurance.
With GrabFlex, create a benefits package that suits your needs and aspirations.
Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

","hiringOrganization":{"@type":"Organization","name":"Grab","sameAs":"https://www.grab.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Petaling Jaya, Malaysia","addressCountry":"Malaysia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Senior Director of Product & Analytics","datePosted":"2025-08-01","description":"

Job Opportunity – Senior Director of Product & Analytics with FRAYT Technologies in Cincinnati, OH

Do you excel at developing and articulating a clear product strategy and vision? Can you conduct market research to identify where our product stands out and where we can improve? Are you skilled at collaborating with cross-functional teams and inspiring product and development team members? If you answer yes, we want to speak to you!

FRAYT Technologies is seeking a visionary Senior Director of Product & Analytics to lead the strategic development of our product portfolio. This role is critical in shaping the future of our technology platform, ensuring alignment with business objectives, and driving exceptional customer experiences. The ideal candidate is a strategic thinker with an insatiable curiosity and an experienced leader with a proven track record in product management within logistics or marketplace platforms.

You will need to be an out-of-the box, customer-obsessed thinker, with the passion to ensure a “world changing” product succeeds. The primary responsibility lies in understanding our position in the market, designing our product with its own category, defining capabilities, and communicating between design and engineering in the pursuit of having a best-in-class product.

Primary responsibilities include:

Developing and articulating a clear product strategy and vision, aligning the product roadmap and product goals with the company’s overall goals, market trends, and customer needs.
Leading and performing routine market research and analysis knowing exactly where our product differentiates from our competitors and where we can provide the highest value for our customers, all the while determining where we lack and must improve upon.
Overseeing the product direction and planning process by collaborating with cross-functional teams, directing the product owners, and prioritizing features, defining requirements, and creating a roadmap for the entire product development lifecycle.
Leading and inspiring product and development team members and coordinating their activities to ensure that they meet key performance indicators.
Utilize data analytics to evaluate product success and inform strategic adjustments.
Work closely with engineering, operations, marketing, and sales teams to ensure seamless execution and delivery of products and features.
Communicate and collaborate product vision and progress with the CEO and present quarterly updates to the board and team members, ensuring alignment and buy-in.

The ideal candidate will be a team player who enjoys interacting with people. Additionally, you must:

Bachelor’s degree; required.
12 years of experience in product management, preferably in leadership roles, with a track record of successfully managing and launching products.
Proven track record of being curious and seeking to be thoroughly knowledgeable of a product’s position for its customers and against its competitors within its market.
Demonstrable past success at identifying a product’s vision and corresponding roadmap towards its own journey.
Strong strategic thinking skills and sharp analytical decision-making mindedness to align product initiatives with overall business objectives.
Experience working with either logistics companies or two-sided marketplace platforms and ideally experienced with both.
A solid understanding of product management tools and processes, including proficiency in agile methodologies, product lifecycle management, market research techniques, and data analysis.
Experience in building and managing high-performing product teams, with business cases and metrics as proof of results.

FRAYT is a tech-first, last-mile delivery marketplace that connects shippers with on-demand capacity to move cargo through our independent contractor network of over 40,000 vetted drivers. With vehicles ranging from sedans to box trucks, we can deliver anything from one paint can to 10 standard pallets. Our versatile on-demand delivery platform is designed to empower businesses of all types by providing reliable expedited, same-day, and scheduled delivery options for their customers.

Apply online today!

#ZR

","hiringOrganization":{"@type":"Organization","name":"Clark Schaefer Strategic HR","sameAs":"https://strategichrinc.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cincinnati, Ohio","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Lead, Commerce & Growth Product Analytics","datePosted":"2025-08-13","description":"

Company Description

Comcast NBCUniversal has announced its intent to create a new publicly traded company ('SpinCo') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.

Job Description

The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive.

As part of the Product Analytics & Experimentation team, we support a data driven and results focused product organization. The ideal candidate thrives at the intersection of product analytics, data science, product development and business understanding. The candidate will have strong technical, analytical and product background.

Responsibilities

Partner with the Senior Manager of Product Analytics to optimize acquisition product experiences, providing a data-driven, objective perspective that aligns cross-functional teams on performance against key goals.
Execute against an acquisition analytics and experimentation roadmap for Commerce Product & Growth teams, ensuring insights drive meaningful improvements.
Lead the integration of critical new data sources (e.g., transactions, page latency, error events) into existing data platforms to enhance analytical depth.
Develop and maintain reliable, high-performance data pipelines in Databricks in collaboration with Data Engineering.
Foster a culture of inclusion, empathy, analytical rigor, and teamwork, while driving the company's success.

Qualifications

4+ years of experience working with analytics engineering and product analytics stack (e.g. Databricks, BigQuery, Tableau, Looker, Airflow, dbt, Github, etc.)
4+ years of applied experience in acquisition, subscriptions, direct to consumer or media entertainment. Familiarity with data challenges specific to subscription and user behavior analytics.
Proficiency in dimensional modeling and designing datasets for business analytics use cases, preferably within Databricks.
Advanced SQL skills for analytics and data analysis (Python or R.)
Experience performing analysis with large time series datasets.
Experience in defining data collection and measurement requirements.

Desired Characteristics

Curious and passionate about democratizing data access and scalability, you operate with a bias for informed action.
Possess a growth mindset and see failure as a necessary step towards advancing learning of yourself and those around you.
Collaborative and skilled in working across teams to align insights and technical solutions with business objectives.

Additional Requirements:

Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.

This position is eligible for company-sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.

Salary range: $115,000 - $145,000 (bonus and long-term incentive eligible)

Additional Information

Company Description

Job Description

Partner with Viewing Product teams to understand app performance and deliver recommendations to expand and engage with key audiences
Understand how users navigate the app experience as they enter video playback
Work within large datasets to interpret trends and turn those into sound recommendations
Maintain, update, and distribute actionable dashboards or reports to ensure data democratization and informed decision making
Partner with Data Engineering teams to identify and enhance data sources
Prepare and inform material for senior level executive presentations
Leverage data visualization tools like Tableau to curate reporting for cross-functional teams

Qualifications

2+ years of experience working in a data-oriented role
BA/BS or MS degree in a quantitative area of study (Statistics, Mathematics, Economics, Finance, or Computer Science) or relevant work experience
Proficient in SQL and Excel (R or Python a plus)
Experience with Tableau, Looker, Domo or equivalent data visualization tools
Experience working with large datasets
Knowledge of A/B and multivariate tools, as well as statistical models
Demonstrates strong attention to detail, work ethic, sense of curiosity, accountability, and ability to execute projects of all sizes with vision & purpose
Strong interpersonal skills with the ability to motivate, collaborate and influence
Ability to deliver on multiple projects and meet tight deadlines
Self-driven, confident, resourceful, and resilient
Intellectual curiosity and interest in media industry or product

Additional Requirements:

Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.

Salary range: $85,000 - $115,000

Additional Information

Company Description

Job Description

Responsibilities

Partner with the Senior Manager of Product Analytics to optimize acquisition product experiences, providing a data-driven, objective perspective that aligns cross-functional teams on performance against key goals.
Execute against an acquisition analytics and experimentation roadmap for Commerce Product & Growth teams, ensuring insights drive meaningful improvements.
Lead the integration of critical new data sources (e.g., transactions, page latency, error events) into existing data platforms to enhance analytical depth.
Develop and maintain reliable, high-performance data pipelines in Databricks in collaboration with Data Engineering.
Foster a culture of inclusion, empathy, analytical rigor, and teamwork, while driving the company's success.

Qualifications

4+ years of experience working with analytics engineering and product analytics stack (e.g. Databricks, BigQuery, Tableau, Looker, Airflow, dbt, Github, etc.)
4+ years of applied experience in acquisition, subscriptions, direct to consumer or media entertainment. Familiarity with data challenges specific to subscription and user behavior analytics.
Proficiency in dimensional modeling and designing datasets for business analytics use cases, preferably within Databricks.
Advanced SQL skills for analytics and data analysis (Python or R.)
Experience performing analysis with large time series datasets.
Experience in defining data collection and measurement requirements.

Desired Characteristics

Curious and passionate about democratizing data access and scalability, you operate with a bias for informed action.
Possess a growth mindset and see failure as a necessary step towards advancing learning of yourself and those around you.
Collaborative and skilled in working across teams to align insights and technical solutions with business objectives.

Additional Requirements:

Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.

Salary range: $115,000 - $145,000 (bonus and long-term incentive eligible)

Additional Information

","hiringOrganization":{"@type":"Organization","name":"NBCUniversal","sameAs":"https://www.nbcunicareers.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NEW YORK, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Data Engineer / Senior Data Engineer","datePosted":"2025-08-04","description":"Arcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success. For more information, visit arcadia.io.
Why This Role Is Important To Arcadia
The Arcadia Data Engineering team onboards and supports the data feed integrations between Client Claim and Clinical data management platforms and our Healthcare Solution Platform. Our customers are top Healthcare providers and payers, and we help them integrate their internal systems with our analytic platform. The Data Engineering team is responsible for the data architecture that drives the partnership with customers and other internal organizations to drive success through adoption of cutting edge analytic solutions that leverage new age technologies and best practices. Our Data Engineers require both SQL Database knowledge and design , along with multiple programing languages. As a Data Engineer, you will drive the successful development of solution architecture and the completion of data pipeline connectors that automate the flow of data between client Claim and Clinical data platforms and our analytic health solution platform. Your efforts will be critical to driving the long-term partnership between Arcadia and our customers.
What Success Looks LikeIn 3 months- Learn the different areas of the data connector life cycle, and develop a working knowledge of the technical stacks, storage platforms, data models, and Arcadia's development cycle - Familiarize yourself with the existing data pipeline and associated product capabilities - Set to work on new ingestion pipelines with full bandwidth available (as formal training will end)
In 6 months- Work on higher level enhancement requests and ingestion pipelines - Deliver data reviews to clients and other departments regarding code quality and test cases- Set your own personal vision of development and career aspirations and set a working path forward with leadership to work on how we can help you attain those goals - Contribute to scrum ceremonies and ceremonies within the dev cycles while successfully updating status and progress in Jira
In 12 months- Develop/support a range of data pipelines with varying complexity - Work with Product, Engineering or Implementation to build out tools for better data integration capabilities - Work on standardized data connector development - Pick a SME (subject matter expert) path that aligns with your career development goals and evolving needs of the business \n

What You'll Be Doing

As a Senior Data Engineer, you will drive the successful development of solution architecture and the completion of data pipeline connectors that automate the flow of data between client data platforms and our analytic health solution platform. Your outcomes are critical to driving the long-term partnership between Arcadia and our customers.
Design and documentation of connectors / ingestion pipelines
Build and unit testing of delivery connectors / ingestion pipelines
Support of our processes in partaking in peer code reviews, sprint planning, product grooming, maintaining Jira tasks and peer test reviews
You will be expected to contribute to multiple implementations simultaneously, which will include both new customer setup as well as support and enhancements for existing customers

Delivery

Responsible for delivery of work on expected timelines
Able to identify risk to project success and communicate to leadership
Works mostly independently on delivery w/decreasing involvement from engineering and more senior team members
Consistently deliver pipelines of increasing quality with \"lessons learned\" incorporated into next project
Able to apply critical thinking and problem solving skills to propose solutions for complex problems within day to day work

Technical Domain Knowledge:

Working and growing knowledge of new tech stack with less focus on finding efficiency in the technology and greater focus on understanding use of it
Developing ability to understand technical issues and communicate potential solutions to team members or engineering team

Business Domain Knowledge:

Developing working knowledge of the business of healthcare data and how it interacts within the Arcadia products
Understanding of shared value contracts that our customers are in and how data is impacted by them
Developing knowledge of industry data expected values such as PMPM by LOBs, MM trends, etc.

Communication Skills:

Developing internal and external professional communication skills including presentation of issues using appropriate industry vocabulary

Team Projects:

Responsible for contributing to the advancement of team processes and internal

What You'll Bring

Senior Experience Level of 5-8 years post-grad with relevant industry experience or graduate level degree

Tech

As a data engineer you will be expected to problem solve coding issues and enhancements with frameworks that are built in Spark, while also leveraging technical skills to partake in idea sessions on process improvement and POC design of how to carry out a solution
SQL: 2-4 year (Preferred)
Spark: 1-2 years (Preferred)
NoSQL Databases: 1-2 years (Preferred)
Database Architecture: 2-3 years (Preferred)
Cloud Architecture: 1-2 years (Preferred)

Data

As a data engineer you will be expected to problem solve some basic data analysis issues and work the data to create analytic enhancements
Healthcare Data: 2-4 years (Preferred)
Healthcare Analytics: 1-3 years (Preferred)

Would Love for You to Have

AWS (S3 and EC2): 2-3 years
Python: 3-5 years
Nifi: 3- 5 years
Kafka: 3-5 years
Java : 3-5 years
Healthcare Analytics: 3-5 years

What You'll Get

Chance to be surrounded by a team of extremely talented and dedicated individuals driven to succeed
Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
A flexible, remote friendly company with personality and heart
Employee driven programs and initiatives for personal and professional development
Be a member of the Arcadian and Barkadian Community

About ArcadiaArcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect YourselfIf you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.","hiringOrganization":{"@type":"Organization","name":"Arcadia","sameAs":"https://arcadia.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote (USA)","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Senior Data Engineer / Data Engineer","datePosted":"2025-08-10","description":"

Envoy Global is a proven innovator in the global immigration space. Our mission combines our industry-leading tech platform with holistic service to streamline, simplify and expedite the immigration process for employers and individuals.

We are seeking a highly motivated Senior Data Engineer OR Data Engineer within Envoy Global's tech team to join us on a full time, permanent basis. This role is responsible for designing, developing, and documenting data pipelines and ETL jobs to enable data migration, data integration and data warehousing. That includes ETL jobs, reports, dashboards and data pipelines. The person in this role will work closely with Data Architect, BI & Analytics team and Engineering teams to deliver data assets for Data Security, DW and Analytics.

As our Senior Data Engineer OR Data Engineer, you will be required to:

Design, build, test and maintain cloud-based data pipelines to acquire, profile, cleanse, consolidate, transform, integrate data
Design and develop ETL processes for the Data Warehouse lifecycle (staging of data, ODS data integration, EDW and data marts) and Data Security (Data archival, Data obfuscation, etc.).
Build complex SQL queries on large datasets and performance tune as needed
Design and develop data pipelines and ETL jobs using SSIS and Azure Data Factory
Maintain ETL packages and supporting data objects for our growing BI infrastructure
Carry out monitoring, tuning, and database performance analysis
Facilitate integration of our application with other systems by developing data pipelines
Prepare key documentation to support the technical design in technical specifications
Collaborate and work alongside with other technical professionals (BI Report developers, Data Analysts, Architect)
Communicate clearly and effectively with stakeholders

To apply for this role, you should possess the following skills, experience and qualifications:

Design, Develop, and Document Data Pipelines and ETL Jobs: Create and maintain robust data pipelines and ETL (Extract, Transform, Load) processes to support data migration, integration, and warehousing.
Data Assets Delivery: Collaborate with Data Architects, BI & Analytics teams, and Engineering teams to deliver high-quality data assets for data security, data warehousing (DW), and analytics.
ETL Jobs, Reports, Dashboards, and Data Pipelines: Develop and manage ETL jobs, generate reports, create dashboards, and ensure the smooth operation of data pipelines.
3+ years of experience as a SSIS ETL developer, Data Engineer or a related role
2+ years of experience using Azure Data Factory
Knowledgeable in Data Modeling and Data warehouse concepts
Experience working with Azure stack
Demonstrated ability to write SQL/TSQL queries to retrieve/modify data
Knowledge and know-how to troubleshoot potential issues, and experience with best practices around database operations
Ability to work in an Agile environment

Should you have a deep passion for technology and a desire to thrive in a rapidly evolving and creative environment, we would be delighted to receive your application. Please provide your updated resume, highlighting your relevant experience and the reasons you believe you would be a valuable member of our team. We look forward to reviewing your submission.

","hiringOrganization":{"@type":"Organization","name":"Envoy Global","sameAs":"https://www.envoyglobal.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Digital Product Analytics and Insights Specialist","datePosted":"2025-08-13","description":"

At the American Cancer Society, we're working to end cancer as we know it, for everyone. Our employees and 1.3 million volunteers are raising the bar every single day. We are a culture comprised of diverse backgrounds and experience, to better serve our communities.

The people who work at the American Cancer Society focus their diverse talents on our lifesaving mission. It is a calling. And the people who answer it are fulfilled.

The Digital Product Analytics & Insights Specialist is a member of the Digital Product Analytics team, partnering closely with digital product, marketing, and engineering teams to align analytics with evolving business objectives, ensuring data-driven optimization of donor experiences and fundraising strategies.

This role will be responsible for developing and implementing measurement strategy across digital product experiences at American Cancer Society (ACS). This role will be instrumental in driving and surfacing insights using tools like Google Analytics 4, Quantum Metric and Matomo, developing documented measurement frameworks, empowering and educating teams with data democratization efforts, and supporting optimization efforts through testing and UX collaboration. This role partners with digital product, marketing, digital media, and IT teams to provide strategic guidance for digital product measurement and optimization.

**This is a remote position**

ESSENTIAL FUNCTIONS:

Develop and maintain measurement frameworks for digital product and growth marketing focused on tracking user interactions, feature engagement, friction points, and user journeys. Responsibility: 20%
Serve as a subject matter expert and co-owner of product analytics platforms such as Google Analytics 4 (GA 4) and Quantum Metric, partnering with the broader analytics team to develop dashboards and data visualizations. Responsibility: 15%
Lead efforts to democratize data and insights by training cross-functional teams across product, UX, and marketing on digital data tools and dashboards to enable self-service access to data and analytics. Responsibility: 20%
Partner with the Media team to develop broader marketing attribution and media mix modeling (MMM) strategies. Responsibility: 5%
Lead product analytics efforts and generate actionable insights for product teams by analyzing user flows, drop-off points, feature usage, and engagement patterns; manage annotations within GA4 and Quantum Metric to provide context for data consumers. Responsibility: 20%
Support experimentation efforts by contributing to A/B and multivariant testing programs, including the development of test measurement strategies, success metrics, and post-test analysis focused on feature performance and user behavior. Responsibility: 10%
Collaborate with UX teams to ensure effective use of data in design decisions and to build measurement frameworks. Responsibility: 10%

EXPERIENCE/QUALIFICATIONS:

Minimum Degree Required: Bachelor's Degree
Certificate(s) or License(s): Google Analytics and other digital analytics certifications
Years of experience: 4+

KNOWLEDGE, SKILLS, AND ABILITY:

Bachelor’s degree and 4+ years of digital analytics experience or related role in an in-house or agency environment.
Proven experience surfacing insights, including developing and maintaining documented measurement strategies.
In-depth experience (2+ years) with A/B testing measurement analysis.
Previous experience with media mix modeling and attribution is a plus.
High proficiency with digital, product and web analytics tools, including, Google Analytics 4 (GA 4), Quantum Metric (or similar tools), Matomo, Looker Studio and Power BI. Experience with Conductrics or OneTrust is a plus.

TRAVEL REQUIREMENTS:

Minimum travel could be required

PHYSICAL REQUIREMENTS:

None

The starting rate is $63,300 to $78,000. The final candidate's relevant experience/skills will be considered before an offer is extended. Actual starting pay will vary based on non-discriminatory factors including, but not limited to, geographic location, experience, skills, specialty, and education.

ACS provides staff a generous paid time off policy; medical, dental, retirement benefits, wellness programs, and professional development programs to enhance staff skills. Further details on our benefits can be found on our careers site at: jobs.cancer.org/benefits. We are a proud equal opportunity employer.

","hiringOrganization":{"@type":"Organization","name":"American Cancer Society","sameAs":"https://www.cancer.org/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"GA Home Based, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Head of Customer Insights & Product Analytics","datePosted":"2025-08-12","description":"

Join us to build a more rewarding financial future for all Canadians

At Neo, we’re on a mission to build a more rewarding financial future for all Canadians. Life at a rapidly expanding tech startup isn’t for everyone. It’s complex, fast-paced, high-pressure, but also incredibly fulfilling. Since its founding in 2019, Neo has gained incredible traction and is one of the fastest-growing fintech companies in Canada.

#1 Fastest Growing Company in Canada for 2024 by Globe & Mail
Deloitte’s Fast 50 in Canada Winner for 2023 and 2024
LinkedIn’s Top Startup in Canada for 2022 and 2023
Top-ranked mobile apps and credit cards
Team of 700+ people
1M+ customers
10K+ retail partners

The Role

We are hiring a Head of Customer Insights and Product Analytics to uncover, interpret, and share the data and customer perspectives that shape Neo’s most important decisions. You will lead the programs, tools, and analysis that reveal how Canadians use and experience our products, combining qualitative voice of customer feedback with quantitative product analytics to explain both what is happening and why it matters.

In this senior leadership role, you will define the vision for how insights fuel strategy across the company, and you will build the systems to make them repeatable and scalable. This includes overseeing our analytics infrastructure, customer feedback platforms, and research frameworks, as well as ensuring experimentation and statistical best practices are embedded into how we build and launch products. You will work closely with product managers, designers, and engineers to guide hypothesis generation, test design, and data interpretation, ensuring that decisions are grounded in both evidence and empathy for our customers.

We are looking for someone who has scaled insights or analytics functions, implemented robust product experimentation programs, and turned complex data into clear and compelling narratives that drive measurable change. If you are excited to set the strategy, build the foundation, and contribute directly when needed, this role is for you.

What you'll be doing:

Lead Voice of Customer Programs: Design and manage structured feedback loops across channels (e.g., surveys, interviews, support tickets, app reviews) to surface actionable insights and drive customer-centric decision-making.
Oversee Product Analytics Strategy: Own the end-to-end approach for product data, including instrumentation, KPI development, dashboards, and experimentation frameworks in collaboration with product and engineering.
Synthesize Multi-Source Insights: Integrate qualitative and quantitative inputs (e.g., NPS, churn reasons, user behaviour, market research) to inform product strategy and prioritize customer pain points.
Explore Adjacent Opportunities: Could include ownership of customer segmentation frameworks, journey mapping, or competitive benchmarking to further enrich strategic planning.
Lead, grow, and mentor a team of high-performing product analysts: You’ll develop talent, shape team culture, and create the conditions for great work.
Elevate quality and execution across your teams through strong systems, clear feedback, and day-to-day coaching.
Champion a culture of speed, ownership, and learning. We move fast but we don’t cut corners.

Who we are looking for:

6+ years of analytics experience.
Domain experience in banking and/or fintech is a strong asset, but as important is your ability to ramp fast and think like an owner.
You’ve built and led analytics teams in high-growth environments, ideally with both 0→1 and scaled experience.
You’re a strategic thinker who can move between long-term planning and in-the-weeds execution without missing a beat.
You bring strong product judgment, clear systems thinking, and a bias toward action.
You’ve led cross-functional workstreams that include technical complexity, ambiguous problems, and diverse stakeholder input.
You care deeply about talent: hiring the right people, growing them fast, and building a healthy, high-performing team.
You lead with influence, not just authority. You know how to rally people around a vision, and communicate clearly up, down, and sideways.

Working at Neo:

The people who thrive at Neo are resourceful, growth-oriented, and driven to win. We hold ourselves to high standards because we’re on a mission that matters: to build a more rewarding financial future for all Canadians. As individuals and as a team, we constantly challenge ourselves and each other to do our best work for our customers. Our commitment to customer success drives everything we do, from building intuitive products to providing exceptional support at every step of their journey. If this resonates with you, keep reading.

We trust, respect, and support each other. This means honest conversations, constructive input, and continuous support. You’ll be surrounded by people who push you to be your best. We primarily collaborate in person across our Calgary, Winnipeg, and Toronto offices. As we evolve rapidly, we’re looking for change-makers who thrive on challenge—people who would rather blaze a trail through uncertainty than follow a well-paved path.

All team members have a stake in Neo’s success and earn meaningful equity through stock options. This ownership mindset is at the heart of everything we do — when Neo grows, we all grow. If you’ve heard that Neo employees work hard, it’s true. We hold ourselves accountable for delivering on our commitments to our customers, partners, and each other. Working at Neo means taking ownership of your work and driving results, knowing that your contributions directly impact the company’s success.

Apply with us:

We believe in equal opportunity and are committed to creating an inclusive climate where everyone can thrive. Customers trust us with their finances, so successful candidates for this position will be required to undergo a security screening, including a criminal records check and a credit check.

By continuing with your application, you agree to the Candidate Privacy Notice which guides how we process your personal information for the purpose of your application.

","hiringOrganization":{"@type":"Organization","name":"Neo Financial","sameAs":"https://www.neofinancial.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Calgary, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Sr. Analyst, Commerce & Growth Product Analytics","datePosted":"2025-08-15","description":"

Company Description

Job Description

Responsibilities:

Partner with the Senior Manager of Product Analytics to optimize acquisition product experiences, providing a data-driven, objective perspective that aligns cross-functional teams on performance against key goals.
Execute against an acquisition analytics and experimentation roadmap for the Commerce Product & Growth teams, deriving insights that drive impact for the business
Work within large datasets to interpret trends and turn those into sound recommendations
Maintain, update, and distribute actionable dashboards or reports to ensure data democratization and informed decision making
Partner with Data Engineering teams to identify and enhance data sources
Prepare and inform material for senior level executive presentations
Leverage data visualization tools like Tableau to curate reporting for cross-functional teams

Qualifications

4+ years of experience working with analytics engineering and product analytics stack (e.g. Databricks, BigQuery, Tableau, Looker, Airflow, dbt, Github, etc.)
4+ years of applied experience in acquisition, subscriptions, direct to consumer or media entertainment. Familiarity with data challenges specific to subscription and user behavior analytics.
Proficiency in dimensional modeling and designing datasets for business analytics use cases, preferably within Databricks.
Advanced SQL skills for analytics and data analysis (Python or R.)
Experience performing analysis with large time series datasets.
Experience in defining data collection and measurement requirements.

Desired Characteristics

Curious and passionate about democratizing data access and scalability; you operate with a bias for informed action.
Possess a growth mindset and see failure as a necessary step towards advancing learning of yourself and those around you.
Collaborative and skilled in working across teams to align insights and technical solutions with business objectives.

Additional Requirements:

Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.

Salary range: $85,000 - $115,000

Additional Information

Our culture lifts you up—there is no ego in the way. Our common purpose? We all want to win for our customers. We aim to always be evolving, dynamic, and ambitious. We believe in the power of genuine connections. Each employee is a part of what makes us unique on the market: agile and dedicated.

Time Type:

Regular

Job Description :

Data Engineer

Position Summary
Reporting to the Lead Data Engineering, the Data Engineering is responsible for designing, developing, and maintaining data integration and transformation processes in our cloud-based data platform. While experience in Google Cloud Platform (GCP) is a significant asset, candidates with proven expertise in other major cloud platforms (AWS, Azure) will also be considered. This role emphasizes data governance, classification, and compliance—leveraging tools such as Collibra to ensure high-quality, secure, and well-documented data assets.

Key Responsibilities

Data Integration & Architecture

Develop and orchestrate data pipelines for ingestion from various sources (e.g., MySQL, Oracle, PostgreSQL, flat files…etc.) into a cloud-based environment and move data around multiple system based on the business needs and requirements.
Collaborate with Data Analysts and Data Architects on defining data models, requirements, and architecture for optimal performance in databases (e.g., BigQuery or other cloud-based relational databases).
Ensure robust ETL/ELT processes that support scalability, reliability, and efficient data access.

Data Governance & Classification

Implement and maintain data governance frameworks and standards, focusing on data classification, lineage, and documentation.
Utilize Collibra or similar platforms to manage data catalogs, business glossaries, and data policies.
Work closely with stakeholders to uphold best practices for data security, compliance, and privacy.

Process Improvement & Automation

Identify, design, and implement process enhancements for data delivery, ensuring scalability and cost-effectiveness.
Automate manual tasks using scripting languages (e.g., Bash, Python) and enterprise scheduling/orchestration tools like Airflow.
Conduct root cause analysis to troubleshoot data issues and implement solutions that enhance data reliability.

Cross-Functional Collaboration

Partner with cross-functional teams (IT, Analytics, Data Science, etc.) to gather data requirements and improve data-driven decision-making.
Provide subject matter expertise on cloud data services, data classification standards, and governance tools.
Monitor and communicate platform performance, proactively recommending optimizations to align with organizational goals.

Skills & Qualifications

Technical Expertise
- Experience with at least one major cloud platform (AWS, Azure, GCP), with GCP exposure considered a significant asset.
- Strong understanding of RDBMS (PostgreSQL, MySQL, Oracle, SQL Server) with the ability to optimize SQL queries and maintain database performance.
- Familiarity with version control systems (Git) to manage codebase changes and maintain a clean development workflow.
- Familiarity with data governance and classification concepts, leveraging Collibra or similar platforms to manage data lineage, business glossaries, and metadata.
- Knowledge of Linux/UNIX environments, and experience working with APIs (XML, JSON, REST, SOAP).
Data Pipeline Development
- Demonstrated ability to build large-scale, complex data pipelines for ETL/ELT processes.
- Hands-on experience with scripting/programming languages (e.g., Python, Bash) to automate data workflows and error handling.
- Strong analytical and problem-solving skills with the ability to work with unstructured datasets.
Security & Compliance
- Functional knowledge of encryption technologies (SSL, TLS, SSH) and data protection measures.
- Experience implementing governance best practices to ensure data security and regulatory compliance.
Soft Skills
- Fluent in English and French (spoken and written) required to collaborate with stakeholders in Quebec, Ontario, and across the United States.
- Excellent communication and collaboration skills to partner effectively with cross-functional teams.
- Curiosity and a growth mindset, with the initiative to explore emerging data technologies.

Education & Experience

Bachelor’s degree in Information Technology, Computer Science, or a related field; or an equivalent combination of education and experience.
5+ years of progressive experience in data engineering, data analytics, or a similar role.
Proven track record in architecting, optimizing, and delivering enterprise-grade data solutions on a major cloud platform (AWS, Azure, or GCP).
Demonstrated commitment to continuous learning and improvement in data engineering methodologies.

If you’re passionate about leveraging cloud technologies to build efficient, scalable data pipelines—and ensuring that data remains well-classified, well-governed, and accessible—we’d love to hear from you!

You’ll benefit from:

Flexibility: Yes, we think that what you do matters. At work and at home.

Fun: We laugh a lot, it makes every day brighter.

Discounted services: We provide amazing services to our clients, and you’ll get them at home, because you deserve them.

Rewarding Pay: Let's be honest, everybody likes to make a good salary. We offer attractive compensation packages, and it comes with a great culture.

Benefits: We’ve got you covered.

Career Evolution: Join us and we will give you the tools to achieve your career goals!

Technology: You have a passion for technology? Excellent, we do too. Here, you will manage, influence, play, create, fix, and shape the industry.

Location :

Montréal, QC

Company :

COGECO INC

At Cogeco, we know that different backgrounds, perspectives, and beliefs can bring critical value to our business. The strength of this diversity enhances our ability to imagine, innovate, and grow as a company. So, we are committed to doing everything in our power to create a more diverse and inclusive world of belonging.

By creating a culture where all our colleagues can bring their best selves to work, we’re doing our part to build a more equitable workplace and world. From professional development to personal safety, Cogeco constantly strives to create an environment that welcomes and nurtures all. We make the health and well-being of our colleagues one of our highest priorities, for we know engaged and appreciated employees equate to a better overall experience for our customers.

If you need any accommodations to apply or as part of the recruitment process, please contact us confidentially at inclusion@cogeco.com

","hiringOrganization":{"@type":"Organization","name":"Cogeco","sameAs":"https://www.cogeco.ca"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal PVM 35HRS, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-21","description":"

Join us as a Data Engineer

This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences
You’ll be simplifying the bank by developing innovative data driven solutions, using insight to be commercially successful, and keeping our customers’ and the bank’s data safe and secure
Participating actively in the data engineering community, you’ll deliver opportunities to support the bank’s strategic direction while building your network across the bank
We're offering this role at associate level

What you'll do

As a Data Engineer, you’ll play a key role in driving value for our customers by building data solutions. You’ll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms.

You’ll also be:

Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
Practicing DevOps adoption in the delivery of data engineering, proactively performing root cause analysis and resolving issues
Collaborating closely with core technology and architecture teams in the bank to build data knowledge and data solutions
Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions
Sourcing new data using the most appropriate tooling and integrating it into the overall solution to deliver for our customers

The skills you'll need

To be successful in this role, you’ll need a good understanding of data usage and dependencies with wider teams and the end customer, as well as experience of extracting value and features from large scale data.

You’ll also demonstrate:

At least four years of hands-on experience with SQL-based relational databases, NoSQL systems, data warehousing solutions, Python programming, and ETL/ELT frameworks
Extensive hands-on experience in building data pipelines using cloud-based services for data migration, storage, modeling, governance and security
Experience of using programming languages alongside knowledge of data and software engineering fundamentals
Good knowledge of modern code development practices
Strong communication skills with the ability to proactively engage with a wide range of stakeholders

Hours

Job Posting Closing Date:

22/07/2025

","hiringOrganization":{"@type":"Organization","name":"NatWest Group","sameAs":"https://www.natwestgroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chennai, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-21","description":"At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company and part of global Accenture, to do work that matters in a collaborative and caring community, where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!\n

Job Description

Accenture Federal Services is searching for a Data Engineer to design, develop and maintain data solutions for data generation, collection, and processing.

Responsibilities:

Develop and manage distributed parallel data processing pipelines, which includes but is not limited to processes such as establishing data connections, parsing, data normalization, data mapping and modeling, data enrichment, and integration with data analytics
Operate and maintain the data processing pipelines in accordance with the availability requirements of the platform
Follow agile methodologies when applied to the data engineering part of the system development life cycle (SDLC) Collaborate cross-functionally with software engineers, data scientists, intel analysts, and customers to ensure data processing pipelines meet military requirements
Communicate clearly and effectively with teammates, customers, and external partners Prepare written and verbal communications on analyses, findings, and project progress
Update technical documentation such as system design documentation (SDD); standard operating procedures (SOPs); and tactics, techniques, and procedures (TTPs); and training material Required

Basic Qualifications:

Master's degree in a Science, Technology, Engineering or Mathematics (STEM) discipline with 5 years of experience as a data engineer OR a bachelor's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) with 7 years of experience as a data engineer
5 years of experience with distributed parallel streaming and batch data processing
5 years of experience with Python, Java, or other programming languages
3 years of experience applying agile methodologies to the data engineering part of a system development life cycle (SDLC)
3 years of experience with developing, operating, and maintaining data processing pipelines in a classified environment
3 years of experience integrating with data SDKs / APIs and data analytics SDKs / APIs
3 years of experience with data mapping, modeling, enriching, and correlating classified data.
3 years of experience with the identification and duplication of data sources and record types
3 years of experience with Git repositories and CI/CD pipelines. Examples include but are not limited to GitHub and GitLab.
1 year of experience with Python / PySpark
1 year of experience with Java / Java interface to Spark

Preferred experience:

1 year of experience with Palantir Foundry

Clearance Requirements:

An active TS/SCI federal security clearance is required

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York, Washington, Vermont, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.

The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York, Washington, Vermont, and the District of Columbia is:$108,300—$177,850 USD\n\n \nWhat We Believe \nAs a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.\n\n \nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.\n \nAccenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.\n \nRequesting An Accommodation \nAccenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.\n \nIf you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.\n \nOther Employment Statements \nApplicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.\n \nCandidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.\n \nJob candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.\n \nThe Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.\n \nCalifornia requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.\n\n

","hiringOrganization":{"@type":"Organization","name":"Accenture Federal Services","sameAs":"https://www.accenture.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fort Belvoir, VA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-21","description":"

West Star is the fastest growing maintenance repair organization in the industry and we recognize this is the result of our talented team of trusted employees working together to deliver customer service excellence. We are committed to providing our employees with personal and professional growth opportunities while fostering a culture of respect and well-being with a small company feel.

When you join our team we don’t think you should have to wait for your benefits to kick in. That’s why when you start, they start with you! This includes medical, dental, 401K match, time off accruals, weekly pay days and much more. We don’t want you to live to work, we want you to work and live.

What you can expect as an Data Engineer at West Star:

We are seeking a highly skilled and experienced Microsoft Fabric Data Engineer to lead the design and development of our next-generation data platform built on Microsoft Fabric. You’ll work closely with data architects, analysts, and business stakeholders to modernize our data pipelines, implement scalable lakehouse patterns, and support AI/analytics initiatives across the organization.

This is a hands-on engineering role for someone deeply familiar with Microsoft’s modern data stack — including OneLake, Lakehouses, Data Pipelines, Notebooks, and integration with Power BI. This role is open to candidates in Cleveland, OH, or St. Louis, MO.

You will be ESSENTIAL to many FUNCTIONS including:

Design and implement data architectures using Microsoft Fabric components (Lakehouse, Warehouse, Pipelines, Notebooks).
Build and manage scalable data pipelines for ingesting and transforming structured and unstructured data from internal and external sources.
Optimize storage and performance of datasets in OneLake and Delta Lake.
Work closely with the Data Analyst team to build and refine data models in Fabric Warehouse and support semantic modeling for reporting.
Assist in implementing governance, monitoring, and security best practices across Fabric environments.
Partner with AI/ML teams to deliver clean, structured, and high-performance datasets.
Contribute to the ongoing evolution of the Fabric platform, including architecture reviews and strategic planning
Work closely with IT to optimize data architecture for application reporting.
Effectively and clearly communicate (i.e., speak, write, read) in English

Any other job-related duties as assigned by supervisor or management

\nQualifications\n

What you’ll need to bring with you:

Your Education:

A High school diploma or equivalent.

Microsoft Certified: Fabric Analytics Engineer Associate or equivalent certification

A valid driver’s license approved for airline travel and/or a valid passport is ideal, but not mandatory.

Your Experience :

5+ years of experience in data engineering or analytics engineering roles.

Deep hands-on experience with Microsoft Fabric components, including Lakehouse, Data Factory (Pipelines), OneLake, Notebooks, Data bricks, Azure Synapse, and Warehouse.

Proficiency in T-SQL and working knowledge of PySpark or KQL.

Solid understanding of data lakehouse architecture, including Delta Lake, parquet, and structured streaming concepts.

Experience integrating with Power BI, including support for semantic models, Direct Lake, and dataset optimization.

Working knowledge of Azure Data Services such as Azure Data Lake Storage Gen2, Azure SQL, and Azure Synapse.

Familiarity with CI/CD practices and DevOps for data pipelines

Experience building semantic models in Power BI, including DAX and tabular model optimization

Experience with data governance tools such as Microsoft Purview or Unity Catalog

Experience with legacy-to-Fabric modernization, including migration from dataflows Gen1

Proficiency working with Delta Lake, parquet, or similar modern analytics-optimized formats

Your Initiative:

We’re looking for team players who are self-motivated and able to perform in a fast paced environment where working under specific deadlines and time constraints will be common. This person will need strong analytical and communication skills, with the ability to translate business requirements into scalable data solutions.

Your Sense of Responsibility:

Attend work every day as scheduled

Notify supervisor in advance of shift starting if unable to work.

Must have reliable transportation to get to work each and every day.

Follow all company and safety rules during performance of duties

Maintain customer oriented work habits

Other particulars:

Physical Requirements

Lift and carry up to 10 lbs

Routine walking, bending, stooping and sitting.

Sit at a desk and/or computer for extended intervals.

Routine or repetitive physical motion with arms and hands.

Mental Requirements

Work with others in a professional manner.

Understanding and implementation of regulations and guidelines.

Prioritize workload and work under pressure

Coordinate multiple projects and duties

Supervision

Work under minimal supervision

Work with other Managers coordinating projects in a cooperative manner

","hiringOrganization":{"@type":"Organization","name":"West Star Aviation","sameAs":"https://www.weststaraviation.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Solon, OH, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-21","description":"Data Engineer

Description -

Job Description:

We are looking for a Data Engineer to join HP Inc. If you are passionate about data-driven problem-solving, optimizing data workflows, and leveraging cutting-edge technologies to drive business impact, we would love to hear from you. The ideal candidate thrives in dynamic environments, is proficient in big data technologies, and can work both independently and collaboratively to design and implement scalable data solutions.

This role offers the opportunity to work with large-scale data systems, cloud-based platforms, and advanced analytics tools to drive monetization strategies and business intelligence at HP.

Main Responsibilities:

· Design, build, and maintain scalable ETL pipelines to process and analyze large datasets across millions of devices.

· Develop and optimize data integration workflows, enabling enriched device-level metadata for targeted marketing campaigns.

· Work with structured and unstructured data, implementing data modeling, transformation, and preprocessing techniques.

· Leverage Python, SQL, Databricks, and Apache Spark for data exploration, mining, cleansing, and transformation.

· Develop and maintain big data solutions on cloud platforms like AWS and Azure (e.g., COSMOS DB, Redshift, Athena).

· Conduct A/B testing, statistical analysis, and hypothesis testing to improve user engagement and business KPIs.

· Build and optimize dashboards and visualizations using Power BI, Tableau, and other business intelligence tools.

· Collaborate with data scientists, analysts, and business stakeholders to translate data insights into strategic actions.

· Follow Agile development methodologies and leverage CI/CD pipelines, version control (Git), and test automation.

Requirements:

• Typically has 4-7 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field or an advanced degree with 3-5 years of work experience.

· Programming: Proficiency in Python and SQL

· Big Data & Cloud: Hands-on experience with Databricks, Apache Spark, AWS (Redshift, Athena), and Azure (COSMOS DB).

· Data Processing: Strong skills in ETL pipelines, data integration, and transformation of large datasets.

· Analytics & Visualization: Experience with Power BI, Tableau, and Adobe Analytics for reporting and insights.

· Testing & Optimization: Knowledge of A/B testing, statistical analysis, and hypothesis testing to improve business outcomes.

· Software Engineering Best Practices: Experience with Git, CI/CD, Agile methodologies, and automated testing.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

Shift 1, 0% premium (United States of America)

Travel -

Relocation -

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

","hiringOrganization":{"@type":"Organization","name":"HP","sameAs":"https://www.hp.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"PAL01 - Palo Alto, CA B-1/1a (PAL01), United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-21","description":"

Time Type:

Regular

Job Description :

Data Engineer

Key Responsibilities

Data Integration & Architecture

Develop and orchestrate data pipelines for ingestion from various sources (e.g., MySQL, Oracle, PostgreSQL, flat files…etc.) into a cloud-based environment and move data around multiple system based on the business needs and requirements.
Collaborate with Data Analysts and Data Architects on defining data models, requirements, and architecture for optimal performance in databases (e.g., BigQuery or other cloud-based relational databases).
Ensure robust ETL/ELT processes that support scalability, reliability, and efficient data access.

Data Governance & Classification

Implement and maintain data governance frameworks and standards, focusing on data classification, lineage, and documentation.
Utilize Collibra or similar platforms to manage data catalogs, business glossaries, and data policies.
Work closely with stakeholders to uphold best practices for data security, compliance, and privacy.

Process Improvement & Automation

Identify, design, and implement process enhancements for data delivery, ensuring scalability and cost-effectiveness.
Automate manual tasks using scripting languages (e.g., Bash, Python) and enterprise scheduling/orchestration tools like Airflow.
Conduct root cause analysis to troubleshoot data issues and implement solutions that enhance data reliability.

Cross-Functional Collaboration

Partner with cross-functional teams (IT, Analytics, Data Science, etc.) to gather data requirements and improve data-driven decision-making.
Provide subject matter expertise on cloud data services, data classification standards, and governance tools.
Monitor and communicate platform performance, proactively recommending optimizations to align with organizational goals.

Skills & Qualifications

Technical Expertise
- Experience with at least one major cloud platform (AWS, Azure, GCP), with GCP exposure considered a significant asset.
- Strong understanding of RDBMS (PostgreSQL, MySQL, Oracle, SQL Server) with the ability to optimize SQL queries and maintain database performance.
- Familiarity with version control systems (Git) to manage codebase changes and maintain a clean development workflow.
- Familiarity with data governance and classification concepts, leveraging Collibra or similar platforms to manage data lineage, business glossaries, and metadata.
- Knowledge of Linux/UNIX environments, and experience working with APIs (XML, JSON, REST, SOAP).
Data Pipeline Development
- Demonstrated ability to build large-scale, complex data pipelines for ETL/ELT processes.
- Hands-on experience with scripting/programming languages (e.g., Python, Bash) to automate data workflows and error handling.
- Strong analytical and problem-solving skills with the ability to work with unstructured datasets.
Security & Compliance
- Functional knowledge of encryption technologies (SSL, TLS, SSH) and data protection measures.
- Experience implementing governance best practices to ensure data security and regulatory compliance.
Soft Skills
- Fluent in English and French (spoken and written) required to collaborate with stakeholders in Quebec, Ontario, and across the United States.
- Excellent communication and collaboration skills to partner effectively with cross-functional teams.
- Curiosity and a growth mindset, with the initiative to explore emerging data technologies.

Education & Experience

Bachelor’s degree in Information Technology, Computer Science, or a related field; or an equivalent combination of education and experience.
5+ years of progressive experience in data engineering, data analytics, or a similar role.
Proven track record in architecting, optimizing, and delivering enterprise-grade data solutions on a major cloud platform (AWS, Azure, or GCP).
Demonstrated commitment to continuous learning and improvement in data engineering methodologies.

You’ll benefit from:

Flexibility: Yes, we think that what you do matters. At work and at home.

Fun: We laugh a lot, it makes every day brighter.

Discounted services: We provide amazing services to our clients, and you’ll get them at home, because you deserve them.

Rewarding Pay: Let's be honest, everybody likes to make a good salary. We offer attractive compensation packages, and it comes with a great culture.

Benefits: We’ve got you covered.

Career Evolution: Join us and we will give you the tools to achieve your career goals!

Technology: You have a passion for technology? Excellent, we do too. Here, you will manage, influence, play, create, fix, and shape the industry.

#LI-KN1

#LI-Hybrid

Location :

Quincy, MA

Company :

Breezeline

If you need any accommodations to apply or as part of the recruitment process, please contact us confidentially at inclusion@cogeco.com

","hiringOrganization":{"@type":"Organization","name":"Cogeco","sameAs":"https://www.cogeco.ca"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Quincy 40HRS, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-21","description":"

Description

Passionate about food? Eager to join a dynamic SaaS startup shaping the food and beverage industry? Tastewise is just the place for you.

Tastewise: The GenAI-powered consumer data platform revolutionizing product strategies and driving success for major brands like Nestle, Pepsi, and Campbell’s. With insights from billions of data points, we empower our clients to create, market, and sell their products faster and more successfully.

Join this $10 trillion industry, where creativity and an entrepreneurial mindset drive daily success and reach the homes of billions of people in an industry where change isn't just a recipe but a way of life.

Let's shape the future of food together.

About the role

We are seeking a Data Engineer to join our dynamic data team. In this role, you will design, build, and maintain robust data systems and infrastructure that support data collection, processing, and analysis. Your expertise will be crucial in developing scalable data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver actionable insights.

Key Responsibilities:

Design, develop, and maintain scalable ETL processes for data transformation and integration.
Build and manage data pipelines to support analytics and operational needs.
Ensure data accuracy, integrity, and consistency across various sources and systems.
Collaborate with data scientists and analysts to support AI model deployment and data-driven decision-making.
Optimize data storage solutions, including data lakehouses and databases, to enhance performance and scalability..
Monitor and troubleshoot data workflows to maintain system reliability.
Stay updated with emerging technologies and best practices in data engineering.

Requirements

3+ years of experience in data engineering or a related role within a production environment.
Proficiency in Python and SQL
Experience with both relational (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Elasticsearch).
Familiarity with big data AWS tools and frameworks such as Glue, EMR, Kinesis etc.
Experience with containerization tools like Docker and Kubernetes.
Strong understanding of data warehousing concepts and data modeling.
Excellent problem-solving skills and attention to detail.
Strong communication skills, with the ability to work collaboratively in a team environment.

Preferred Qualifications:

Experience with machine learning model deployment and MLOps practices.
Knowledge of data visualization tools and techniques.
Practical experience democratizing the company’s data to enhance decision making.
Bachelor’s degree in Computer Science, Engineering, or a related field.

Please note that this role is on a hybrid model of 4 days/week in our Tel-Aviv office.

","hiringOrganization":{"@type":"Organization","name":"Tastewise","sameAs":"https://tastewise.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv-Yafo, Tel Aviv District, IL","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-21","description":"

Description

Sunbit builds financial technology for real life. Our technology eases the stress of paying for life’s expenses by giving people more options on how and when they pay. Founded in 2016, Sunbit offers a next-generation, no-fee credit card that can be managed through a powerful mobile app, as well as a point-of-sale payment option available at more than 16,000 service locations, including auto dealership service centers, optical practices, dentist offices, veterinary clinics, and specialty healthcare services. Sunbit was included on the 2022 Inc. 5000 list. The financial technology company has also been named as a Most Loved Workplace®, Best Point of Sale Company, and as a Top Fintech Startup by CB Insights. We use cutting-edge innovations in financial technology to bring leading data and features that allow individuals to be qualified instantly, making purchases at the point-of-sale fast, fair and easy for consumers from all walks of life. We create value focused on our core values; we work tirelessly to ensure that Sunbit becomes available to everyone, everywhere.

About the Fraud Prevention Squad

The Fraud Prevention Squad is a highly skilled and collaborative team of frontend and backend engineers, analysts and data scientists working to develop cutting-edge fraud detection and prevention systems. The team is passionate about building secure financial products and fosters a culture of learning and mentorship, where everyone is encouraged to share their expertise and grow their skills.

About the role

As a Data Engineer on Sunbit's Fraud Prevention Squad, you will play a key role in ensuring the integrity of our data offerings. Your main responsibility will be to design, build, and enhance data pipelines to allow detection of fraudulent activities across all Sunbit products. You’ll work closely with fraud data scientists and backend engineers to operationalize features and maintain real-time fraud signals. Additionally, you will continuously improve existing technologies, integrate fraud prevention measures seamlessly into our products.

Responsibilities:

You’ll be responsible for designing, building, and maintaining all data solutions powering fraud detection. The ideal candidate is a hands-on professional with strong knowledge of data pipelines and an ability to translate business needs into flawless data flow.
This is a great opportunity to own the entire fraud data pipeline and architecture from day one.
Create ELT/Streaming processes and SQL queries to bring data to/from the data warehouse and other data sources.
Own the data lake pipelines, maintenance, improvements and schema.
Comfortable joining backend development efforts.
Develop and improve data-driven fraud features used in production fraud models and rule engines.
Collaborate with various stakeholders across the company like data developers, analysts, data science, etc, in order to deliver team tasks. Work closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
Ensure adherence to coding best practices and development of reusable code
Constantly monitor data platform and make recommendations to enhance system architecture

Requirements

4+ years of experience as a Data Engineer
4+ years of direct experience with SQL/NoSQL (e.g. MySQL/MongoDB/Postgres), data modeling, data warehousing, and building ELT/ETL pipelines - MUST
2+ years of Python/ NodeJS experience.
3+ years of experience in scalable data architecture, fault-tolerant ETL, and monitoring of data quality in the cloud
Experience working with cloud environments (AWS preferred) and big data technologies (EMR,EC2, S3, Snowflake , spark-streaming, hive, DBT)
Exceptional troubleshooting and problem-solving abilities, debugging, and root causing defects in large scale systems.
Deep understanding of distributed data processing architecture and tools such as Kafka and Spark and Airflow
Experience with design patterns and coding best practices, understanding of data modeling concepts, techniques and best practices
Proficiency with modern source control systems, especially Git
Basic Linux/Unix system administration skills
B.Sc in computer science or equivalent experience.

Nice to have

Experience in Software Engineering, Kotlin/Python
Experience in Spark - In-depth knowledge in Apache Spark and the broader Data Engineering ecosystem
Experience with data warehouses
Understanding fintech business processes
DevOps - AWS.
Microservices
Experience in DBT

","hiringOrganization":{"@type":"Organization","name":"Sunbit","sameAs":"https://sunbit.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv-Yafo, Tel Aviv District, IL","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-21","description":"

Job Description

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
Development of processing and analysis algorithms fit for the intended data complexity and volumes.
Collaboration with data scientist to build and deploy machine learning models.

Assistant Vice President Expectations

To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as a Data Engineer at Barclays, where you'll take part in the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. As a part of the team, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. You'll be working on complex technical problems that will involve detailed analytical skills and analysis. This will be done in conjunction with fellow engineers, business analysts and business stakeholders.

To be successful as a Data Engineer you should have experience with:

Strong proficiency in Core Java, including Collections, Concurrency, and Memory Management.
Hands-on experience with Confluent Kafka, including Kafka Streams, Kafka Connect, and Schema Registry.
Practical knowledge of Apache Flink for real-time stream processing and stateful computations.
Solid understanding of event-driven architectures, message processing, and streaming design patterns.
Experience integrating streaming platforms with Data Warehouses and Data Lakes.
Proficiency in Relational Databases such as Oracle and SQL Server, including PL/SQL development.
Familiarity with containerization technologies like Docker, Kubernetes, and Helm.
Experience with CI/CD pipelines and build/deployment tools.
Proficient in version control systems such as Git, GitLab, or Bitbucket.
Strong background in performance tuning, profiling, and resolving production issues in distributed systems.
Working knowledge of Agile methodologies and collaborative development practices.
Solid grasp of SOLID principles, object-oriented design, and software design patterns.
Ability to manage multiple workstreams with a structured and analytical approach to problem-solving.
Excellent interpersonal, written, and verbal communication skills.
Experience in mentoring junior engineers and promoting engineering best practices.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in Pune.

","hiringOrganization":{"@type":"Organization","name":"Barclays","sameAs":"https://home.barclays/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gera Commerzone SEZ, Pune, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-20","description":"

Job Summary
The Data Engineer is responsible for designing, building, and maintaining robust data pipelines and infrastructure to support the organization’s data needs. The role involves working with cloud platforms such as AWS, SAS Viya, Alteryx, and Snowflake to ensure data is processed, integrated, and available for analysis and decision-making. The Data Engineer will collaborate closely with stakeholders to enhance data infrastructure, optimize performance, and ensure compliance with data governance policies.

หน้าที่ความรับผิดชอบ (Responsibilities)
Overall Governance
1.    Ensure Compliance with Data Policies: Understand and apply data management policies, standards, and procedures in daily tasks, ensuring compliance with legal regulations and alignment with the company’s standards and governance frameworks.
2.    Support Policy Revisions: Assist in the periodic review and revision of policies, standards, and procedures related to data engineering to enhance efficiency and ensure alignment with company-wide governance.
3.    Promote Ethical Data Use: Ensure the ethical use of data, adhering to relevant guidelines and regulatory requirements, to foster trust and transparency across the organization and with external stakeholders.

Functional-related Accountabilities
1.    Stakeholder Coordination: Collaborate with stakeholders, including management and other functions, to identify opportunities for improving data infrastructure and leveraging data engineering practices to address business challenges.
2.    Data Management: Identify, validate, and maintain data sources and collection techniques, ensuring the accuracy and integrity of data for processing and analysis.
3.    Data Pipeline Development: Design, build, and maintain scalable and reliable data pipelines that support various business applications and analytics requirements.
4.    Data Transformation and Integration: Pre-process, transform, and integrate large volumes of structured and unstructured data from various sources, ensuring readiness for analysis and application.
5.    Performance Optimization: Implement data optimization techniques to enhance data processing speed and efficiency, ensuring timely delivery of insights and reports.
6.    Documentation and Reporting: Prepare comprehensive documentation and reports related to data infrastructure, processes, and analytics outcomes, ensuring clarity and accessibility for stakeholders.
7.    Continuous Learning: Stay updated on the latest trends in data engineering, including emerging tools and technologies, and recommend their adoption where beneficial.

Other Accountabilities
1.    Team Guidance: Assist in guiding team members in their tasks, providing mentorship to enhance their skills and understanding of data engineering principles.
2.    Team Collaboration: Participate in regular team meetings, providing constructive feedback and fostering a collaborative and supportive work environment.
3.    Project Support: Support the implementation of data-related projects, ensuring alignment with business objectives and timelines, while assisting in the documentation of progress and performance.
4.    Issue Resolution: Identify and address data-related issues, ensuring effective resolution or appropriate escalation to senior management when necessary.
5.    Task Delegation: Delegate tasks effectively within the team, ensuring that all projects or assignments are completed on time and meet quality standards.
6.    Additional Responsibilities: Take on additional responsibilities as assigned by senior management, demonstrating proactive leadership and initiative.
7.    Knowledge Sharing: Encourage and facilitate knowledge sharing within the team on data engineering techniques, tools, and best practices, promoting continuous professional development.

","hiringOrganization":{"@type":"Organization","name":"WHA Group","sameAs":"https://www.wha-group.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Thailand","addressCountry":"Thailand","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-21","description":"

Bedrijfsomschrijving

- This position requires professional proficiency in Dutch -

Heb jij een passie voor data en wil je bijdragen aaneen data gedreven organisatie? Dan is deze rol bij Strukton Rail jou op het lijf geschreven.

Als Data engineer ben jij de bouwmeester van onze datastromen: met jouw technische skills én teammentaliteit leg je niet alleen stevige datagrondslagen, maar til je ook collega’s en onze hele datastructuur naar een hoger niveau.

Dit houdt onder andere in:

Ontwerpen, bouwen en optimaliseren van robuuste en schaalbare data pipelines
Het vervullen van een mentorrol voor junior data-engineers
Meewerken aan het ontwerp van data-architecturen
Beheren van dataopslag en integraties tussen systemen
Ondersteunen van data-analisten en BI-specialisten met betrouwbare datasets
Meedenken over performance, monitoring en security van de dataplatformen

Kortom, jij zorgt ervoor dat onze datastromen betrouwbaar, schaalbaar en future proof zijn. Je helpt het team én onze data infrastructuur elke dag een stap verder.

Vacatureomschrijving

Je gaat aan de slag bij Strukton Rail, specialist in spoorinfrastructuur, met een sterke focus op veiligheid, innovatie en betrouwbaarheid. Binnen Strukton Rail werk je in een vernieuwend en energiek team binnen de afdeling Data & Informatiemanagement. Samen ondersteun je de organisatie met data oplossingen die bijdragen aan efficiëntere processen en betere besluitvorming. Het team kenmerkt zich door een frisse blik, open samenwerking en ruimte voor eigen initiatief.

Functie-eisen

Wij zoeken een datagedreven professional die techniek, teamwork en nieuwsgierigheid combineert. Je herkent jezelf in het volgende:

Je hebt een afgeronde hbo- of wo-opleiding, bijvoorbeeld in Informatica, Data Science of een vergelijkbare richting;
Je hebt 3-5 jaar ervaring als Data Engineer;
Je hebt ervaring met Python en SQL, en bij voorkeur ook met tools als Airflow, dbt, Spark of Kafka;
Je bent bekend met cloudomgevingen, bij voorkeur Microsoft Fabric;
Je hebt kennis van de OTAP-werkwijze en Agile/SCRUM-methodieken;
Je bent communicatief sterk, proactief en denkt in oplossingen.

Aanvullende informatie

Bij Strukton draait het niet alleen om wat je kunt, maar ook om wie je bent en wat je wilt bereiken. Daarom krijg je:

Een goed salaris, afhankelijk van je ervaring. Tussen de €4400,- en €6300,- per 4 weken. Dat betekent dus dat je 13x per jaar betaald krijgt!
Collectieve regelingen, zoals een pensioenregeling bij het Pensioenfonds Rail & OV en een ziektekostenverzekering;
20 vakantiedagen, 18 extra vrije dagen en de mogelijkheid om extra dagen te kopen.
Een smartphone en laptop van de zaak;
Een mobiliteitsbudget met duurzame opties: kies voor een (elektrische) leasefiets, ov-kaart of een vergoeding voor (groen) reizen;
Een heldere HR cyclus waarin jouw ontwikkeling centraal staat;
Een prettige werksfeer in een organisatie en een team waarin samenwerking centraal staat en waarin volop ruimte is voor persoonlijke groei en ontwikkeling;
Een goede balans tussen werk en privé, doordat je je werktijden zelf kunt indelen.

Enthousiast geworden? Solliciteer nu!
\nHeb je vragen over deze functie of wil je meer weten over Strukton Rail? Neem gerust contact op met Maud Kooreman, Corporate Recruiter, via +31 (0)6 11 33 43 14

Klinkt dit als jouw nieuwe uitdaging? Je kunt direct solliciteren! Vanwege de vakantieperiode duurt het iets langer voordat je van ons hoort. We nemen eind augustus contact met je op, zodat je na de zomer direct weet waar je aan toe bent.

#LI-MK1

","hiringOrganization":{"@type":"Organization","name":"Strukton","sameAs":"https://strukton.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Utrecht, UT, Netherlands","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-20","description":"

Aristotle, a leading player in the computer software industry, is currently seeking a talented and driven Data Engineer to join our dynamic team. At Aristotle, we have a deep-rooted belief in the importance of the democratic process, which serves as the foundation of everything we do. We are committed to advancing democracy around the world through innovative software solutions that empower organizations and individuals alike.

As a Data Engineer, you'll be an integral part of our mission to revolutionize the way data is utilized. You'll have the opportunity to work and learn in a collaborative environment where your opinions truly matter. We welcome passionate individuals who are dedicated to advancing the democratic process, regardless of their political affiliation. Join us at Aristotle and love what you do while contributing to a greater cause.

Aristotle’s Integrity division is a leading provider of identity and age verification services across numerous vertical markets. Our age/identity verification solutions are used by companies to comply with various regulatory requirements such as AML, KYC and Age Verification.

Please visit https://integrity.aristotle.com for more information about this division.

Responsibilities

Data Load and Transformation: Develop data load processes for efficient storage and retrieval of data from databases and other file systems. Create data conversion and transformation processes and utilities for handling large datasets.
Solution Development: Utilize .NET/SSIS/SQL Server technologies to design and implement solutions that align with data consumer requirements and adhere to business rules.
Web-Based Reporting: Build web-based reporting systems to monitor system performance, transaction metrics, and error rates.
Data Transformation Rules: Collaborate in defining and documenting data transformation rules to ensure data integrity and accuracy.
ETL Design and Performance: Focus on the design, development, and performance tuning of ETL (Extract, Transform, Load) processes to optimize data processing efficiency.
Collaborative Development: Work closely with other developers to provide data services to both existing and new applications. This includes modifying production data, creating and optimizing stored procedures, functions, views, and more.
System Performance Enhancement: Develop and analyze strategies to enhance system performance, ensuring efficient data processing and retrieval.
Documentation and Testing: Prepare comprehensive documentation and test procedures to ensure the reliability and quality of developed solutions.
Industry Standard Practices: Develop software using industry-standard programming techniques to maintain code quality and consistency.
Unit Testing and Debugging: Perform unit testing and debugging of application components to identify and resolve issues promptly.

Requirements

Bachelor's or Associate's degree in Computer Science or a related field.
Minimum of 2 years of hands-on experience with ETL (Extract, Transform, Load) processes.
Proficiency in T-SQL programming and working with Microsoft SQL Server 2005 and 2008. A deep understanding of the SQL Server Query Processing Engine is required.
Knowledge and experience in designing, developing, debugging, and deploying SQL Server stored procedures, T-SQL scripts, DTS (Data Transformation Services), and SSIS (SQL Server Integration Services) packages.
Ability to manage multiple priorities, adhere to project plans, and consistently meet project deliverables.
Proficiency in Microsoft SQL as well as Microsoft SQL Server Reporting Services. Familiarity with MS Office applications, including Word and Excel.
Demonstrated ability to quickly learn and adapt to new technologies as needed.

Desired Requirements

Proficiency in using Microsoft Visio for creating sequence diagrams, component diagrams, and other UML (Unified Modeling Language) diagrams.
Proficiency in data modeling using tools such as MS Visio or Erwin data modeler.
Familiarity with identity verification for fraud, marketing, and risk mitigation solutions within the industry.
Knowledge of internet technologies, including XML, DHTML, CSS, and JavaScript.
Familiarity with ASP.NET 2.0, C#, and Traditional ASP (Active Server Pages).

Benefits

All positions are Full-Time, with competitive compensation, medical benefits, paid vacation, 401k plan and stock options. Casual dress code and a non-corporate atmosphere make this a fun place to work and learn in a team environment. Please visit our website at www.aristotle.com.

","hiringOrganization":{"@type":"Organization","name":"Aristotle","sameAs":"https://www.aristotle.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Provo, Utah, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-21","description":"

Data Engineer

About the vacancy

Company: Azerconnect Group

Division: Digitalization and Data

Working schedule: 5 days a week, from 09:00 to 18:00. Based on the nature of the work you will be able to work from the office and from home.

Deadline to apply: 20.08.2025

Azerconnect Group is part of NEQSOL Holding, an international group of companies. Azerconnect Group stands as the first B2B (Business to Business) company offering diverse services aligned with international standards within Azerbaijan's rapidly evolving ICT and high technology fields.

Azerconnect Group was awarded a certificate of Top Employer in Azerbaijan for 2023 and 2024 by the world's influential Top Employer Institute.

Your responsibilities as a Data Engineer:

Execute Data Strategy within Data Architecture and Data Platforms Environment;
Research, design and propose new features or optimizations initiatives for various functional areas having agility and digitalization in mind;
Participate in Specific Streams under Data Architecture topic to create synergy between Backend Transactional Systems, Backend Analytical and Reporting Systems and Core Systems;
Work in particular stream/squad with business representatives and teams to collect and translate information requirements into data to develop data-centric solutions;
Apply principles and standards for modeling, stored procedures, replication, regulations, and security, among others, to meet technical and business goals defined by company;
Participate in Development phases of data-related services using various technologies and architectural patterns for enabling and supporting purposes of existing reporting and analytical use cases for internal and external use cases;
Work in the squads on products as well as internal stakeholders to create new products, features in products as well as identify the root causes of problems, turn analyses into insights and solutions;
Participate in project implementation and operational tasks execution;
Participate in quality management of Data Stack by having Test Driven Development approach, having UNIT, Integration and Regression tests within Development Lifecycle;
Deliver the documentation according the company defined documentation standards for Data Stack and constantly deliver documentation within delivery Agile Sprints or within Waterfall Milestones.

Position requirements:

Higher Education;
1+ years of work experience in Data Engineering or Software Engineering positions within Telco, Banking and Retail industry;
Good hands-on experience in data ecosystems; covering data ingestion, data modeling, and data provisioning to consumers and downstream systems;
Good coding skills in at least two relevant languages (e.g. SQL, Python, Java, Scala) as well as excellent knowledge of Cost Based Optimization techniques;
Good knowledge of data pipeline orchestration (e.g. Apache Airflow, Ni-Fi);
Understanding DataOps and MLOps concepts;
Experience with agile methodologies in a professional development environment (CI/CD);
Practical knowledge of Messaging Queue technologies, like Apache Kafka, RabbitMQ;
Practical knowledge of NoSQL technologies, like Redis, Elasticsearch, Neo4j;
Practical knowledge about when and what to test (Unit Tests, E2E Tests);
Problem Solving skills;
Responsible.
Experience with RESTful and SOAP APIs;

Our values:

Serve customer: Customer first
Move together: Always teamwork
Act reliable: Dependable and transparent
Speak-Up: Brave and challenging
Think digital: Creative and clever

What we offer?

Competitive compensation
Incentives and bonuses based on performance
Fringe benefits
Performance-driven culture
Diversified learning and development opportunities
Career growth opportunity
Hybrid work opportunity
Unique experience of working in the most dynamic industry
Innovative products and digitalization
International experience
Amazing team of highly skilled professionals
Cross-functional collaboration
Experience sharing

Applications will be reviewed against position requirements and only shortlisted candidates will be contacted.

We are committed to fostering a workplace culture that respects equality, values differences, treasures inclusivity and cherishes belonging.

For other open vacancies in our company, you can visit www.azerconnect.az company page.

We invite you to participate in our anonymous survey to assess Human Resources satisfaction levels and identify areas for improvement.

Məlumat bazası üzrə mühəndis

Vakansiya haqqında

Şirkət: Azerconnect Group

İdarə: Rəqəmsallaşma və Data İdarəsi

İş qrafiki: Həftənin 5 günü saat 09:00-dan 18:00-dək. İşin tələblərinə əsasən ofisdən və evdən çalışa biləcəksiniz.

Son müraciət tarixi: 20.08.2025

Azerconnect Group NEQSOL Holding beynəlxalq şirkətlər qrupunun tərkibinə daxildir. Azerconnect Group Azərbaycanın İKT sektorunda fəaliyyət göstərən şirkətlərə keyfiyyətin artırılmasına və xərclərin optimallaşdırılmasına imkan verən xidmətlər və həllər təklif edir.

Azerconnect Group şirkəti dünyanın nüfuzlu “Top Employer Institute” (Ən Yaxşı İşəgötürənlər İnstitutu) tərəfindən 2023 və 2024-cü illər üzrə Azərbaycanda “Ən Yaxşı İşəgötürən” şirkət sertifikatına layiq görülüb.

Məlumat bazası üzrə mühəndis olaraq Sizin vəzifə öhdəlikləriniz:

Data arxitekturası və data platformaları mühitində məlumatların emalı strategiyasını həyata keçirmək;
Çeviklik (agility) və rəqəmsallaşdırma nəzərə alınmaqla müxtəlif funksional sahələr üçün yeni funksiyalar və ya optimizasiya təşəbbüslərini araşdırır, inkişaf etdirir və təklif etmək;
Backend əməliyyat sistemləri, Backend analitika sistemləri və Hesabat sistemləri və Əsas sistemlər arasında sinergiya yaratmaq üçün Data arxitekturası üzrə müəyyən məlumat axınlarında iştirak etmək;
Data ilə bağlı tələblərin məlumatların toplanmasına və dəyişdirilməsinə yönəldilmiş həllərin işlənib hazırlanması üçün biznes nümayəndələri və komandalarla birlikdə müəyyən məlumat axınında/qrupda işləmək;
Şirkət tərəfindən müəyyən edilmiş texniki və biznes məqsədlərinə nail olmaq üçün digər şeylər arasında modelləşdirmə, tətbiq edilən prosedurlar, təkrarlamalar, qaydalar və təhlükəsizlik prinsiplərini və standartlarını tətbiq etmək;
Daxili və xarici istifadə variantları üçün mövcud hesabat və analitik istifadə variantlarını təmin etmək və dəstəkləmək üçün müxtəlif texnologiyalardan və arxitektura şablonlarından istifadə edərək data ilə əlaqəli xidmətlərin inkişaf etdirilməsində iştirak etmək;
Konkret məhsul qrupunda (məlumat axınında), eləcə də daxili maraqlı tərəflərlə yeni məhsullar, məhsullarda funksiyalar yaratmaq, eləcə də problemlərin əsas səbəblərini müəyyən etmək, təhlili anlayışa və həllərə çevirmək istiqamətində işləmək;
Layihənin həyata keçirilməsində və tapşırıqların operativ şəkildə yerinə yetirilməsində iştirak etmək;
Test Əsaslı İnkişaf yanaşmasına sahib olmaqla, İnkişaf Dövrü daxilində UNIT, İnteqrasiya və Reqressiya testlərinə sahib olmaqla Data Stack keyfiyyətinin idarə edilməsində iştirak etmək;
Sənədləri Data Stack üçün şirkət tərəfindən müəyyən edilmiş sənədləşdirmə standartlarına uyğun olaraq təqdim edir və Agile Sprints və ya Waterfall Milestones çərçivəsində sənədləri davamlı olaraq təqdim etmək.

Vəzifənin tələbləri:

Ali təhsil (Kompüter elmləri və ya əlaqəli sahədə bakalavr dərəcəsi, kurs və sertifikatlar arzu olunandır);
Telekommunikasiya, Bank işi və Pərakəndə ticarət sahəsində rəhbər vəzifədə Data mühəndisliyi və ya Proqram təminatı mühəndisliyi üzrə 1+ il iş təcrübəsi;
Məlumatların ekosistemlərində yaxşı praktiki təcrübə (məlumatların qəbulunu, verilənlərin modelləşdirilməsini və istehlakçılara və aşağı axın sistemlərinə verilənlərin təmin edilməsini əhatə edir);
Ən azı iki müvafiq dil (məsələn, SQL, Python, Java, Scala) üzrə əla proqramlaşdırma bacarıqları, eləcə də Xərclərin optimallaşdırılması üsulları üzrə əla biliklər;
Məlumatların ötürülməsinin təşkili (məsələn, Apache Airflow, Ni-Fi) üzrə yaxşı biliklər;
DataOps və MLOps konsepsiyaları haqqında anlayış;
Peşəkar inkişaf mühitində (CI/CD) çevik metodologiyalar üzrə təcrübə;
RESTful və SOAP API ilə iş təcrübəsi;
Apache Kafka, RabbitMQ kimi Messaging Queue texnologiyaları üzrə praktiki biliklər;
Redis, Elasticsearch, Neo4j kimi NoSQL texnologiyaları üzrə praktiki biliklər;
Nə vaxt və nə test etmək barədə praktiki məlumat (Modul testləri, E2E testləri;
Problem həll etmə bacarıqları;
Məsuliyyətli.

Bizim dəyərlərimiz:

Müştəriyə xidmət edək: Öncə müştəri
Birlikdə hərəkət edək: Hər zaman komanda işi
Etibarlı davranaq: Etibarlı və şəffaf
Fikrimizi bildirək: Cəsarətli və çağırışçı
Rəqəmsal düşünək: Yaradıcı və yenilikçi

Biz nə təklif edirik?

Rəqabətli kompensasiya
Performans əsasında həvəsləndirici və bonuslar
Əlavə imtiyazlar
Performansa əsaslanan mədəniyyət
Müxtəlif təhsil və inkişaf imkanları
Karyera inkişaf imkanı
Hibrid iş imkanı
Ən dinamik şirkətdə işləmənin unikal təcrübəsi
Innovativ məhsullar və rəqəmsallaşma
Beynəlxalq təcrübə
Yüksək bacarığa malik peşəkar komanda
Kross-funksional əməkdaşlıq
Təcrübə mübadiləsi

Müraciətlər vakansiyanın tələblərinə əsasən dəyərləndiriləcək və yalnız seçilmiş namizədlərlə əlaqə saxlanılacaqdır.

Biz bərabərliyə hörmət edən, fərqlərə dəyər verən, inklüzivliyi qiymətləndirən və aidiyyatı dəyərləndirən iş yeri mədəniyyətini inkişaf etdirməyə sadiqik.

Şirkətimizdə mövcud digər vakansiyalarla tanış olmaq üçün www.azerconnect.az səhifəsinə keçid ala bilərsiniz.

Sizi İnsan Resursları məmnuniyyət səviyyəsini ölçmək üçün anonim sorğuda iştirak etməyə dəvət edirik.

","hiringOrganization":{"@type":"Organization","name":"Azerconnect Group","sameAs":"https://www.azerconnect.az/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Azerbaijan","addressCountry":"Azerbaijan","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-21","description":"

Job Description

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
Development of processing and analysis algorithms fit for the intended data complexity and volumes.
Collaboration with data scientist to build and deploy machine learning models.

Analyst Expectations

To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
Requires in-depth technical knowledge and experience in their assigned area of expertise
Thorough understanding of the underlying principles and concepts within the area of expertise
They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
Will have an impact on the work of related teams within the area.
Partner with other functions and business areas.
Takes responsibility for end results of a team’s operational processing and activities.
Escalate breaches of policies / procedure appropriately.
Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
Advise and influence decision making within own area of expertise.
Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Make evaluative judgements based on the analysis of factual information, paying attention to detail.
Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
Guide and persuade team members and communicate complex / sensitive information.
Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

Strong experience with ETL tools such as Ab Initio, Glue, PySpark, Python, DBT, DataBricks and various AWS required services / products.
Advanced SQL knowledge across multiple database platforms (Teradata , Hadoop, SQL etc.)
Experience with data warehousing concepts and dimensional modeling.
Proficiency in scripting languages (Python, Perl, Shell scripting) for automation.
Knowledge of big data technologies (Hadoop, Spark, Hive) is highly desirable.
Bachelor's degree in Computer Science, Information Systems, or related field.
Experience in ETL development and data integration.
Proven track record of implementing complex ETL solutions in enterprise environments.
Experience with data quality monitoring and implementing data governance practices.
Knowledge of cloud data platforms (AWS, Azure, GCP) and their ETL services.

Some other highly valued skills include:

Strong analytical and problem-solving skills.
Ability to work with large and complex datasets.
Excellent documentation skills.
Attention to detail and commitment to data quality.
Ability to work independently and as part of a team.
Strong communication skills to explain technical concepts to non-technical stakeholders.

","hiringOrganization":{"@type":"Organization","name":"Barclays","sameAs":"https://home.barclays/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gera Commerzone SEZ, Pune, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Data Engineer","datePosted":"2025-07-21","description":"

Data Engineer – Business Insights Team

Location: Salford Quays Manchester | Company: PXC (Part of the TalkTalk Group)

About Us

PlatformX Communications (PXC) is the UK’s leading value for money connectivity provider. We believe that simple, affordable, reliable, and fair connectivity should be available to everyone, and we reward our team for being part of that mission of change. We're looking for a passionate Data Engineer to help shape the future of our data landscape.

About the Team

The Strategy, Insights & Performance department exists as a force multiplier in PXC.

The department’s Insights function is made of multi-disciplinary Hubs which are aligned to specific business domains. As the centre for PXC’s data engineering, reporting and analytics, the Hubs work to make insights the engine of business success. They partner with senior leaders (up to the Executive Leadership Team), expert analysts (Analyst Community) and Data Authority (Quality, Governance, Architecture, etc.) to deliver value.

The role sits within a Hub, reporting to the Lead Data Engineer.

About the Role

As a Data Engineer, you will be fundamental to the success of the Insights Hub, managing pipelines that transform, collate and organise data into a data model that enables value to be derived from it.

Your primary responsibility will be to build, maintain and enhance ETL/ELT processes that deliver key financial reporting, leveraging tools such as Microsoft Fabric Pipelines, Python Notebooks, and Dataflows.

You’ll also contribute to two additional data engineering functions covering our Core Data Platform and another key Data Application building team.

These teams are currently transitioning from Microsoft Azure to Microsoft Fabric, with a plan to unify all data functions under a modern architecture using Snowflake, Airflow, Azure Data Factory (ADF), and DBT. This presents a unique opportunity to gain hands-on experience with a variety of cutting-edge data engineering tools and methodologies.

To be successful, you will bring curiosity, accountability and enthusiasm to your day-to-day role, with strong communication and task management. A passion for data is essential.

Why Join PXC?

PXC will provide exceptional opportunities for your personal growth with so much technology to master
Work with complex telecoms data across multiple systems
Be part of a transformative journey as we modernize our data infrastructure
Enjoy a culture that values innovation, agility, and continuous learning
Flexible hybrid working

Key Skills & Experience

Essential:

Proven experience within a data focused role
experience with data analysis, with excellent analytical and problem-solving abilities
Strong SQL skills
Some Python experience
Experience working with complex systems and datasets
Experience preparing structured/semi-structured data for consumption
Some experience with automated data ingestion (ETL/ELT)
Experience with stakeholder engagement and translating business needs into technical solutions
Hands-on experience with:
- Microsoft Fabric
- Dataflows / DAX
- Power BI

Desirable:

Experience with metadata-driven or configuration-driven ETL/ELT architectures
Some understanding of data modelling including dimensional modelling
Experience in Agile delivery and DevOps ways of working
Knowledge of financial data and financial analysis
Familiarity with telecoms systems and data
Azure Data Factory (ADF)
Spark/PySpark
Snowflake
Airflow / DBT

At PXC, we know that diversity means success and innovation. We want our workplace to reflect the communities and customer we serve. Being inclusive is part of our DNA; we are all 100% human, and we create a culture where you can truly be yourself.

We’re also not your usual 9-5. We are a dynamic workplace and we want to talk to you about how you like to work.

","hiringOrganization":{"@type":"Organization","name":"PlatformX Communications","sameAs":"https://www.pxc.co.uk/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Salford Quays, Manchester, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}}]}

Company Description

Job Description

Qualifications

Additional Information

GENERAL FUNCTION:

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Exercise direct supervision of assigned product, portfolio, marketing, sales and analytic managers. Work across the Fifth Third organizational matrix with key business partners in risk, credit, operations, collections and retail.

Manage the line of business P&L and the associated products. Provide guidance to Finance for analysis of historical financial reporting, projections of financial results for future periods and annual budgeting.

Establish annual goals and objectives for key line of business deliverables.

Manage the implementation of new products and/or product enhancements and functionalities.

Develop and maintain product strategies and the business strategic plan.

Oversee pricing, profitability and strategy models used to generate the portfolio performance.

Develop and maintain relationships with key customers, internal business partners and key vendors as necessary.

Effectively manage cross-functional teams on complex issues related to development, implementation, and ongoing servicing.

Research competitor practices and pricing to ensure that products are competitive in features and pricing and that quality service is being provided.

Lead pricing committees as appropriate.

Monitor industry trends and perform essential market research and analysis to define current and prospective customer needs.

SUPERVISORY RESPONSIBILITIES:

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:

Bachelor's degree. MBA or other Advanced degree is preferred.

20 or more years of relevant industry experience.

In-depth understanding of product features, benefits, pricing, positioning, design and advertising.

Proficiency in Excel, Word, and PowerPoint.

Must have ability to effectively manage credit risk/return trade-offs to optimize profitability.

Requires excellent organizational skills, quantitative skills, strong interpersonal communication skills and analytic expertise.

Work requires experience and ability to influence and negotiate with individuals outside span of control and the associated decision making.

About OnePay

The Role

What You'll Do

You Bring

What We Offer

Standard Interview Process

Equal Employment Opportunity

About Ethos

Highlights

About Fundraise Up

A Truly Global Product

The Team

About the Role

What You’ll Do

Requirements

Bonus points

Our Tech Stack

Why work with us

Benefits

Highlights

About Fundraise Up

A Truly Global Product

The Team

About the Role

What You’ll Do

Requirements

Bonus points

Our Tech Stack

Why work with us

Benefits

Highlights

About Fundraise Up

A Truly Global Product

The Team

About the Role

What You’ll Do

Requirements

Bonus points

Our Tech Stack

Why work with us

Benefits

Highlights

About Fundraise Up

A Truly Global Product

The Team

About the Role

What You’ll Do

Requirements

Bonus points

Our Tech Stack

Why work with us

Benefits

Highlights

About Fundraise Up

Set your job search on autopilot

Data Engineer Jobs

Data Engineer, Product Analytics

Data Engineer, Product Analytics

Product Analytics Manager

Manager, Product Analytics

Director, Product Analytics

Director, Product Analytics

Product Analytics, Manager

Product Analytics Manager

Product Analytics Manager

Associate Director Product Analytics

Product Analytics, Senior Associate

Staff Product Analytics Engineer

Senior Manager, Product Analytics

Director of Product Analytics

Senior Analyst - Product Analytics

Data Scientist, Product Analytics

Team Lead Product Analytics

Team Lead Product Analytics

Team Lead Product Analytics

Team Lead Product Analytics

Team Lead Product Analytics

Team Lead Product Analytics

Senior Product Analytics Manager

Senior Product Manager - Product Analytics

Sr. Analyst, Viewing Product Analytics

Lead Product Designer, Product Analytics

Senior Director of Product & Analytics

Lead, Commerce & Growth Product Analytics

Sr. Analyst, Viewing Product Analytics

Lead, Commerce & Growth Product Analytics

Data Engineer / Senior Data Engineer

Senior Data Engineer / Data Engineer

Digital Product Analytics and Insights Specialist

Head of Customer Insights & Product Analytics

Sr. Analyst, Commerce & Growth Product Analytics

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer