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Country: United States of America

Your Journey Starts Here:

Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success.

An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You!

The Difference You Make:
The Associate, Data Science drives cross functional analytics projects from beginning to end: builds relationships with partner teams, frames and structures questions, collects and analyzes data, and summarizes key insights in support of decision making. They work with engineers to evangelize data best practices and implement analytics solutions.

• Translates business queries into actionable and commercial insights leveraging unstructured data and statistically robust techniques.
• Drives cross functional analytics projects from beginning to end: builds relationships with partner teams, frames and structures questions, collects and analyzes data, and summarizes key insights in support of decision making.
• Works with engineers to evangelize data best practices and implement analytics solutions.
• Evaluation and discovery of alternative data vendors including ability to quantifiably validate external algorithms and apply insights to commercially driven use cases.
• Performs quantitative analysis, including alpha assessment, risk analysis, portfolio construction and return attribution to enhance investment strategies using sourced and external data.
• Leverages available data tools and collaborate with data scientists and engineers across the firm and adapts data initiatives to needs of business.
• Collaborates across functional areas of our business at every level of seniority to uncover and address opportunities for scalability and growth.

What You Bring:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Bachelor's Degree or equivalent work experience: Statistics, Computer Science, Physical Sciences, Economics, or a equivalent technical field. - Required.
Master's Degree Statistics, Computer Science, Physical Sciences, Economics, or a equivalent quantitative field. - Preferred.

5+ Years Data mining/advanced analytics applied to large-scale data-intensive projects. - Required.

• Knowledge of the principles of machine earning, classification models, time series regression and stochastic statistics to deliver improved business performance.
• Demonstrated experience with SQL, R or a comparable programming language (such as Python, SAS, SPSS, or MATLAB) .
• Demonstrated ability to communicate complex concepts.
• Strong quantitative and problem solving skills with focus hypothesis formulation and testing.
• Strong evidence of leveraging analytics to drive business results.
• Strong project management skills.
• Individually motivated and possess sound judgment, integrity, and a solid work ethic.
• Ability to clearly communicate complex results to technical and non-technical audiences.
• Ability to adapt to various programming languages and environments.
• Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.
• Excellent written and verbal communication skills.
• Effective time management in order to efficiently deliver concurrent projects with competing priorities.

Certifications:
No Certifications listed for this job.

It Would Be Nice For You To Have:
Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.

What Else You Need To Know:

The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location.

Base Pay Range

Minimum:

$93,750.00 USD

Maximum:

$160,000.00 USD

Link to Santander Benefits:

Santander Benefits - 2025 Santander OnGoing/NH eGuide (foleon.com)

Risk Culture:

We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

EEO Statement:

At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law.

Working Conditions:

Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required.

Employer Rights:

This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason.

What To Do Next:

If this sounds like a role you are interested in, then please apply.

We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at TAOps@santander.us to discuss your needs.

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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.

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

athenahealth is a progressive & innovative U.S. health-tech leader, delivering cloud-based solutions that improve clinical and financial performance across the care continuum. Our modern, open ecosystem connects care teams and delivers actionable insights that drive better outcomes. Acquired by Bain Capital in a $17B deal, we’re growing fast and investing in bold, strategic product innovations. We foster a values-driven culture focused on flexibility, collaboration, and work-life balance.

Headquartered in Boston, we have offices in Atlanta, Austin, Belfast, Burlington, and in India: Bangalore, Pune, and Chennai.

Position Summary: We are looking for a Senior Product Analytics Associate to join our team in Chennai to drive improvement and value in the athenahealth product. You will partner with Product Management, Development, and Strategy teams to support planning and decision-making by providing relevant and timely athenaOne-based data, analytics, and insights.

Your responsibilities will include exploring opportunities for product improvement, assessing the impact of product decisions on clients, informing backlog prioritization through research and investigation, and building and monitoring effective release metrics and KPIs.

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

The Team: We are a diverse group of athenistas who believe that smart use of data leads to better products and greater value for our clients. We don’t just pull data and create analyses—we craft compelling stories driven by customer context and athenahealth’s vision. We believe in supporting each other and that learning is always part of the job.

Job Responsibilities

Collaborate with Product Managers to define success metrics and promote the use of outcome-driven measures
Extract user, transaction, and other data from complex systems to create reports and analyses
Synthesize results to evaluate experiments and recommend next steps
Create and maintain user-friendly visuals (e.g., dashboards, report cards) to keep Product teams informed of product/feature performance
Promote the use of standardized data assets and metrics, identifying and addressing gaps as needed
Build and maintain strong, collaborative relationships with product teams

Typical Qualifications

Ability to synthesize complex, high-volume, and sometimes contradictory information to solve business problems
Demonstrated experience using a variety of tools, techniques, and processes to gather and report data
Strong communication skills, with the ability to convey technical ideas to diverse audiences
Proven ability to collaborate across internal and external stakeholders
Ability to provide sound rationale for recommendations and gain stakeholder buy-in
Excellent verbal and written communication skills

Education and Experience

Bachelor’s degree required; a degree (Bachelor’s or Master’s) in a quantitative discipline such as Computer Science, Data Engineering, Data Science, Statistics, Analytics, or Information Systems is preferred
5+ years of professional experience, including at least 4 years in data analytics or data science
Strong understanding of database technologies and proficiency in SQL
Experience with analytical tools and methods, including data visualization platforms (e.g., Tableau, Power BI) and programming languages (e.g., Python, R)

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":"Chennai India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Senior Product Analytics Associate","datePosted":"2025-09-11","description":"

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

Headquartered in Boston, we have offices in Atlanta, Austin, Belfast, Burlington, and in India: Bangalore, Pune, and Chennai.

Job Responsibilities

Collaborate with Product Managers to define success metrics and promote the use of outcome-driven measures
Extract user, transaction, and other data from complex systems to create reports and analyses
Synthesize results to evaluate experiments and recommend next steps
Create and maintain user-friendly visuals (e.g., dashboards, report cards) to keep Product teams informed of product/feature performance
Promote the use of standardized data assets and metrics, identifying and addressing gaps as needed
Build and maintain strong, collaborative relationships with product teams

Typical Qualifications

Ability to synthesize complex, high-volume, and sometimes contradictory information to solve business problems
Demonstrated experience using a variety of tools, techniques, and processes to gather and report data
Strong communication skills, with the ability to convey technical ideas to diverse audiences
Proven ability to collaborate across internal and external stakeholders
Ability to provide sound rationale for recommendations and gain stakeholder buy-in
Excellent verbal and written communication skills

Education and Experience

Bachelor’s degree required; a degree (Bachelor’s or Master’s) in a quantitative discipline such as Computer Science, Data Engineering, Data Science, Statistics, Analytics, or Information Systems is preferred
5+ years of professional experience, including at least 4 years in data analytics or data science
Strong understanding of database technologies and proficiency in SQL
Experience with analytical tools and methods, including data visualization platforms (e.g., Tableau, Power BI) and programming languages (e.g., Python, R)

About athenahealth

What we can do for you:

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":"Chennai India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Senior Product Analytics Associate","datePosted":"2025-09-11","description":"

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

Headquartered in Boston, we have offices in Atlanta, Austin, Belfast, Burlington, and in India: Bangalore, Pune, and Chennai.

Job Responsibilities

Collaborate with Product Managers to define success metrics and promote the use of outcome-driven measures
Extract user, transaction, and other data from complex systems to create reports and analyses
Synthesize results to evaluate experiments and recommend next steps
Create and maintain user-friendly visuals (e.g., dashboards, report cards) to keep Product teams informed of product/feature performance
Promote the use of standardized data assets and metrics, identifying and addressing gaps as needed
Build and maintain strong, collaborative relationships with product teams

Typical Qualifications

Ability to synthesize complex, high-volume, and sometimes contradictory information to solve business problems
Demonstrated experience using a variety of tools, techniques, and processes to gather and report data
Strong communication skills, with the ability to convey technical ideas to diverse audiences
Proven ability to collaborate across internal and external stakeholders
Ability to provide sound rationale for recommendations and gain stakeholder buy-in
Excellent verbal and written communication skills

Education and Experience

Bachelor’s degree required; a degree (Bachelor’s or Master’s) in a quantitative discipline such as Computer Science, Data Engineering, Data Science, Statistics, Analytics, or Information Systems is preferred
5+ years of professional experience, including at least 4 years in data analytics or data science
Strong understanding of database technologies and proficiency in SQL
Experience with analytical tools and methods, including data visualization platforms (e.g., Tableau, Power BI) and programming languages (e.g., Python, R)

About athenahealth

What we can do for you:

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":"Chennai India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Senior Research Associate - Product Analytics","datePosted":"2025-08-22","description":"

Company Description

Dr. Reddy’s Laboratories Ltd. is a leading multinational pharmaceutical company based across global locations. Each of our 24,000 plus employees comes to work every day for one collective purpose: to accelerate access to affordable and innovative medicines because Good Health Can’t Wait.

We started in 1984 with a modest investment, 20 employees and a bold vision. Today, we have research and development centres, manufacturing facilities or a commercial presence in 66 countries.

For nearly four decades, we have stood for access, affordability and innovation based on the bedrock of deep science, progressive people practices and robust corporate governance. As the pharmaceutical industry evolves and undergoes disruption, we see an opportunity – to strengthen our core further (the next steps) and to build the future (the new bets).

‘The Next and the New’ is how we aim to continue to be the partner of choice – purpose-driven, future-ready and sustainable. Our aim is to reach over 1.5 Bn+ patients across the world by 2030 by growing our core businesses and building for the future with sustainability at the core of our purpose and strategy. Sustainability for us means operating in a manner that respects people, planet and purpose – helping us conserve precious resources, serve our patients, create value for stakeholders, give back to society, fulfil our potential and maintain our integrity and transparency

Dr Reddy’s maintains a work environment, free from discrimination and is an equal opportunity employer. We are committed to employ & nurture all qualified diverse workforce without regard to race, colour religion, nationality, sex, age, disability status, genetics, sexual orientation, gender expression, citizenship or any other characteristic or classification protected by applicable law(s) of the country we operate in. We treasure every talent, and recognize merit and diversity in our organization.

Job Description

Roles & Responsibilities

Routine analysis support, method development and qualification.
Execution of critical experiments for specific deliverables.
Error free analysis and documentation.
Involve in report preparations, report closures and technology transfer of assays.
Prepare protocol / report / manuscript as needed, including contributions to writing and reviewing content.
Collaborate with cross-functional teams to support development projects.
Stability charging and analysis on time.
Monitoring of timely and effective execution of HPLC/UPLC calibration and maintenance of equipment/ instruments/columns.
Participation in Quality and Safety related initiatives, activities and their timely closures.

Qualifications

Qualifications

Educational qualification and Experience:

A Ph.D. in Biological Science/ Biotechnology/ Biochemistry/ Industrial Biotechnology or related including Pharma and Technology with

0 to 1 years of Industrial experience

OR
\nA Masters in Biological Science/ Biotechnology/ Biochemistry/ Industrial Biotechnology or related including Pharma and Technology with 4 to 6 years of Industrial experience

Technical Skills

Basic knowledge of protein structure, characterization, stability, therapeutic proteins like monoclonal antibodies.
Basic understanding of relevant techniques like HPLC, Electrophoresis, Spectroscopy, Basic Chromatographic techniques (affinity, SEC, IEX, RP etc). Method development and qualification.
Basic understanding of protein-protein interactions, encompassing principles of ELISA (Enzyme-Linked Immunosorbent Assay) and western blotting techniques.

Behavioural skills

Learning orientation, seeking opportunities for personal and professional development.
Stakeholder orientation, focusing on understanding and meeting the needs of various stakeholders involved.
Ability to build relationships, fostering positive connections with colleagues, clients, and other stakeholders.

Additional Information

About the Department
\nBiologics
\nCurrently operates in the Global Biosimilars business - a segment that is poised for attractive and sustained growth over the next 10–15-year time horizon.
\nWith a robust portfolio of biosimilar products across key therapeutic areas, covering ~US$80+ Bn in innovator sales – future business pipeline covers a variety of product classes and therapy areas, and new modalities. Fully integrated organization with over two decades of experience in developing, manufacturing and commercializing multiple biosimilar products.
\nWith a Product Development engine that has end-to-end capabilities – in-house clone development, upstream and downstream process development, bioanalytical development and proprietary formulation.
\nSupported by a Clinical and Regulatory team with experience in executing complex biosimilar programs with innovative global trial designs.
\nWe have a proven experience in commercial-scale manufacturing across a variety of technology platforms with global quality standards and a highly competitive cost structure
\nRich experience of commercializing high-quality biosimilars in multiple markets with over 900,000 patients having benefited from our products till date.
\n
\nBenefits Offered
\nAt Dr. Reddy’s we actively help to catalyse your career growth and professional development through personalised learning programs.
\nThe benefits you will enjoy at Dr. Reddy’s are on par with the best industry standards. They include, among other things and other essential equipment, joining & relocation support, family support (Maternity & Paternity benefits), learning and development opportunities, medical coverage for yourself and your family, life coverage for yourself.
\n
\nOur Work Culture
\nAsk any employee at Dr. Reddy’s why they come to work every day and they’ll say, because Good Health Can’t Wait. This is our credo as well as the guiding principle behind all our actions. We see healthcare solutions not only as scientific formulations, but as a means to help patients lead healthier lives, and we’re always attuned to the new and the next to empower people to stay fit. And to do this, we foster a culture of empathy and dynamism. People are at the core of our journey over the last few decades. They have been supported by an enabling environment that buoys individual ability while fostering teamwork and shared success. We believe that when people with diverse skills are bound together by a common purpose and value system, they can make magic.
\nFor more details, please visit our career website at https://careers.drreddys.com/#!/

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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)

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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":9,"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":10,"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":11,"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":12,"item":{"@type":"JobPosting","title":"Product Analytics Manager","datePosted":"2025-08-20","description":"At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.
We are seeking a data-driven Product Analytics Manager to join our team and take product analytics to the next level here at Lendbuzz. In this role, you will lead a team of senior and mid level product analysts that drive strategy and decisioning throughout the product lifecycle. Your focus will be analyzing the loan lifecycle looking for opportunities to improve conversion, efficiency, and customer happiness all along the way.\n

Key Responsibilities:

Build out a team of high-performing analysts that provides the product teams with monitoring support, strategic insights for roadmaps, and prioritization clarity
Partner with data engineering leadership to create mature foundations that enables analytics to scale with rapid growth
Own analytics for our loan origination process driving actionable insights across Credit Verifications, AI Verifications, Fraud, and Loan Servicing
Develop metrics frameworks, dashboards, and KPIs to monitor and improve all aspects of the product lifecycle
Partner closely with Product and Engineering to define and measure success across automation initiatives and platform enhancements
Conduct deep-dive analyses to identify opportunities for operational efficiency and improved decision accuracy
Work with AI/ML teams to validate model performance and guide data-driven prioritization
Lead experimentation and A/B testing efforts to validate product improvements and changes
Mentor and collaborate with other analysts and product team members to build a culture of data-driven decision making

Key Requirements:

7+ years of experience in product analytics, data science, or a related field, with a strong foundation in SQL and data visualization tools (e.g., Sigma, Tableau)
2+ year managing senior and junior analysts
Strong leader that understands the value of mentoring and growing skillsets within their team
Experience supporting product teams in fast-paced, high-growth environments
Strong business acumen and ability to translate complex data into clear recommendations
Demonstrated success using analytics to drive product or operational improvements
Familiarity with credit, underwriting, or verification workflows is a strong plus
Comfort working with ambiguous problems and a track record of leading cross-functional projects with measurable business impact

We believe:
Diversity is a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.
Compassion is a strength. We care about our customers and look to build long-term relationships with them.
Simplicity is a key feature. We work hard to make our forms and processes as painless and intuitive as possible.
Honesty and transparency are non negotiable. We incorporate these traits in all of our interactions.
Financial opportunity belongs to everyone. We work every day to improve lives by extending this opportunity.
If you believe these things too then we would love to hear from you!","hiringOrganization":{"@type":"Organization","name":"Lendbuzz","sameAs":"https://www.lendbuzz.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Director, Product Analytics","datePosted":"2025-08-20","description":"

At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experience, or designing an app that will impact the lives of people across the country, we’re up for the challenge. From our office in Downtown Toronto, we’ve created leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, and apparel spaces, and we’re only just getting started.

Why is this role important?

As the Director of Product Analytics at Loblaw, you will lead a high-impact team focused on using data to improve customer experiences across our digital products. You will partner closely with Product, Engineering, Design, and Business stakeholders to define key metrics, measure product feature performance, user journeys and funnels, run experiments, and generate actionable insights. Your work will guide strategic decisions across the organization and help deliver better outcomes for Loblaw customers at massive scale.

What You Will Do:

Lead the end-to-end analytics strategy for key digital product areas such as search, browse, checkout, mobile app, web and personalization
Define success metrics and KPI frameworks for product features and initiatives
Partner with product managers, designers, and engineers to provide insight into product performance and customer behavior
Drive A/B testing and experimentation programs using tools like Optimizely, VWO, and other experimentation platforms
Guide the team in analyzing funnel performance, feature adoption, and retention using tools like Amplitude, Mixpanel, Indicative, Looker etc
Build and maintain scalable dashboards and reporting solutions to support product and business decision-making
Manage and grow a team, promoting a culture of ownership, collaboration, and continuous learning
Work closely with data engineering to ensure reliable and timely data pipelines and product instrumentation
Translate complex data into clear insights and recommendations for senior leadership to drive product strategy

You Will Thrive In This Role If You:

Have a strong understanding of digital product development and customer experience
Are equally comfortable with high-level strategy and hands-on data analysis
Bring a collaborative and solution-oriented approach to working with cross-functional teams
Have experience mentoring and scaling high-performing analytics teams

Qualifications:

8+ years of experience in product analytics, data science, or related fields, with at least 4 years in a leadership role
Strong experience in A/B testing and experimentation, including tools like Optimizely, VWO, and other experimentation platforms
Proficiency with SQL and Python and modern data platforms such as Snowflake, BigQuery, and GCP
Experience with funnel and product analytics tools such as Amplitude, Mixpanel, Adobe Analytics, or Google Analytics
Strong understanding of statistical concepts, product measurement, and data storytelling
Bachelor's or Master’s degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or Engineering

Preferred Qualifications:

Background in eCommerce, retail, or large-scale consumer technology
Experience working on CDPs, personalization, segmentation, or recommendation systems

How You’ll Succeed:

At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

We’re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce.

If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, we’ll get along just fine.

Looking for a challenge? Good. Love an innovative work environment? Even better.

Apply today.

Employment Type:

Full time

Type of Role:

Regular

Loblaw Digital recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

#EN

#SS #LD #ON","hiringOrganization":{"@type":"Organization","name":"Loblaw Companies Limited","sameAs":"https://www.loblaw.ca/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"500 Lake Shore Blvd W, Toronto, ON, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Product Analytics Manager","datePosted":"2025-08-19","description":"

Company Description

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

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

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

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)

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<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

<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":17,"item":{"@type":"JobPosting","title":"Product Analytics Lead","datePosted":"2025-08-22","description":"Attentive® is the AI-powered mobile marketing platform transforming the way brands personalize consumer engagement. Attentive enables marketers to craft tailored journeys for every subscriber, driving higher recurring revenue and maximizing campaign performance. Activating real-time data from multiple channels and advanced AI, the platform personalizes content, tone, and timing to deliver 1:1 messages that truly resonate.
With a top-rated customer success team recognized on G2, Attentive partners with marketers to provide strategic guidance and optimize SMS and email campaigns. Trusted by leading global brands like Neiman Marcus, Samsung, Wayfair, and Dyson, Attentive ensures enterprise-grade compliance and deliverability, supporting trillions of interactions across more than 70 industries. To learn more or request a demo, visit www.attentive.com or follow us on LinkedIn, X (formerly Twitter), or Instagram.
Attentive’s growth has been recognized by Deloitte’s Fast 500, Linkedin’s Top Startups and Forbes Cloud 100 all thanks to the hard work from our global employees!\n

About the Role

Develop innovative strategies for company’s mobile products.
Drive end-to-end analytics projects in collaboration with Product, Engineering, and cross-functional teams to shape and implement product strategy and investment decisions.
Deliver compelling, data-driven presentations to leadership, influencing product direction and strategic priorities.
Leverage large, complex datasets to address diverse challenges using advanced analytical and statistical methods.
Establish and track product success through goal setting, forecasting, and monitoring key performance metrics to identify trends and inform decision-making.
Analyze opportunities and identify levers to improve product performance, offering actionable insights and driving product roadmaps.
Elevate the Product Analytics discipline within Attentive by promoting best practices in analytics, experimentation, and goal-setting, optimizing workflows, and enhancing tools.
Position is 100% remote & reports to HQ in New York, NY.

MINIMUM REQUIREMENTS:

Bachelor’s degree or U.S. equivalent in Quantitative Management, Finance, Business Analytics, Computer Science, or a related field, plus 5 years of professional experience as a Data Analyst, Business Analyst, Product Analyst, or any occupation/position/job title involving analytics, data science, and business intelligence.

Must also have experience with the following special skills:

5 years of professional experience using data visualization tools including Looker and Tableau
5 years of professional experience using, writing, and optimizing SQL queries in a business environment
5 years of professional experience executing fast-paced and dynamic projects in a highly organized manner using data and logic to explore solutions and communicating the results of analyses to senior leadership and with stakeholders to drive strategy decisions
5 years of professional experience initiating and completing analytical projects with minimal guidance
3 years of professional experience working with statistics, running A/B tests, and utilizing data warehouse technical architecture (including Snowflake, Redshift, or BigQuery), infrastructure components (including Airflow, Spark, or Kubernetes, ETL), and reporting/analytic tools (including Tableau, Power BI, or Looker).

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
For US based applicants:- The US base salary range for this full-time position is $169,541 - $229,200 + equity + benefits- Equity is a substantial part of the total compensation package- Our salary ranges are determined by role, level and location
Please submit resume online at: www.attentivemobile.com/careers#jobs or via email to careers@attentivemobile.com. Must specify Ad Code MLJG
#LI-DNI
Attentive Company ValuesDefault to Action - Move swiftly and with purposeBe One Unstoppable Team - Rally as each other’s championsChampion the Customer - Our success is defined by our customers' successAct Like an Owner - Take responsibility for Attentive’s success
Learn more about AWAKE, Attentive’s collective of employee resource groups.
If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.
At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.","hiringOrganization":{"@type":"Organization","name":"Attentive","sameAs":"https://www.attentive.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Product Analytics Manager","datePosted":"2025-09-02","description":"

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Visa USA Inc., a Visa Inc. company, needs a Product Analytics Manager (multiple openings) in Highlands Ranch, CO to:

Provide future-ready risk strategies and services that enable market-leading fraud performance.
Responsible for data analytics directly influencing our fraud/risk value-added/managed services for supported issuers.
Be aware of market trends, development of product strategy, and delivery/launch of new world-class products and features.
Ideate solutions for strategic business objectives, develop data-driven insights, strategies, and visuals.
Drive innovation into the long-term vision of the product roadmap which maximizes business and product performance.
Ideate, innovate, and drive large-scale initiatives in partnership with other product owners and across product lines, specifically focused on the data analytics component of risk strategy.
Leverage these data insights & trending to drive solutions-oriented innovation and creativity, expanding/improving performance and client impact.
Ensure the delivery of data insights meets or exceeds specific standards developed, including best-in-class innovation and accelerated concept to market implementation delivery timelines for both internal and external stakeholders.
Perform competitive, customer, and market analysis to bring new market and innovation opportunities into focus.
Must become an expert on client business needs and competitive landscape evolution.
Translate market and customer insights to drive product strategy and decisions.
Support the enhancement of risk value added services, strategy, and objectives across a 3–5-year roadmap to serve as a differentiator in winning new issuer processing deals and grow Visa’s value-added services business.
Support the production of product financials including pricing and revenue/expense forecasting.
Clearly understand and articulate the value of both DPS and Visa’s products and drive the development of product, features, and functionality.
Create key differentiating risk services products, while enabling Risk and Identify Solutions innovations for all issuer processing clients.
Position reports to the Highlands Ranch, Colorado office and may allow for partial telecommuting.

Qualifications

Basic Qualifications:

Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, Mathematics, Statistics, or related field, followed by 5 years of progressive, post-baccalaureate experience in the job offered or in an analytics-related occupation.
Alternatively, a Master’s degree in Computer Science, Information Systems, Electrical Engineering, Mathematics, Statistics, or related field and 3 years of experience in the job offered or in an analytics-related occupation.
Position requires experience in the following skills:
- Working with product lines in the technology industry.
- Analytical, visual insights and data software tools including Alteryx, Hadoop, Tableau, Power BI, and SQL.
- Working with global and regional teams operating in a matrixed environment.
- MS Office applications (Excel, Word, PowerPoint, Access) with advanced Excel spreadsheet skills.
- Maintaining and deriving data-driven value-added metrics from large datasets.

Additional Information

Worksite: Highlands Ranch, CO

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Travel Requirements: This position does not require travel.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $138,133.00 USD to $179,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Visa will accept applications for this role until at least 11/01/2025.

","hiringOrganization":{"@type":"Organization","name":"Visa","sameAs":"https://visa.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Highlands Ranch, CO, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Manager, Product Analytics","datePosted":"2025-09-02","description":"

About Us:

Propel (TSX: PRL) is the fintech company building a new world of financial opportunity by facilitating access to credit for consumers underserved by traditional financial institutions. Through its AI-driven platform, Propel evaluates customers in a more comprehensive way than traditional credit scores can. Our revolutionary fintech platform has already helped consumers access over one million loans and lines of credit and over one billion dollars in credit.

To build a new world of opportunity we bring together the brightest talent to help us build opportunities. We are entrepreneurs and believe in measuring success through results and growing within; talent and hard work never goes unnoticed. At Propel, we are here to change the way employees, customers and shareholders succeed together.

We are a team of passionate entrepreneurs, who foster curiosity and growth in our employees. Our culture is why we’ve been so successful and why our employees choose Propel to build their careers. It’s also why we’re one of North America’s fastest growing companies and a Best Place to Work.

Join us as we change the way employees, customers and shareholders succeed together.

About You:

As a fast-growing fintech, we stay true to our startup roots. You picture yourself within a vibrant and entrepreneurial organization where your ideas will be heard, and you have an opportunity to showcase your talent. You are motivated by goals, a self-starter and like to wear multiple hats.

You are a talented strategic and tactical problem solver with a “hands-on” orientation, who understands what it takes to drive real operating change, can create a sense of urgency, make decisions quickly, and effectively influence others. You have the drive and ability to help develop analytical and financial frameworks to identify practical and meaningful business improvement opportunities, and to define and implement solutions.

Responsibilities

Lead the development of structured competitive analysis to continually evaluate pricing, offer competitiveness and placement across key competitors and channels
Deliver timely, actionable insights about market dynamics, competitor moves, and customer behaviour to inform pricing and product strategies
Monitor product performance across channels for each of Propel brands and products to ensure alignment with set budget targets
Align pricing and acquisition strategies with Risk, Marketing and Operational goals
Prepare and deliver compelling analytical presentations to Senior Management, translating complex data into clear strategic recommendations
Partner with Marketing, Risk and Product teams to refine offer structures and positioning
Lead and mentor a team of Product Analysts fostering a culture of curiosity and continuous improvement

Requirements

Bachelor's degree in quantitative or business discipline (e.g., Management Analytics, Finance, Risk Management, Statistics, Economics); advanced degree (Masters+) is a plus
9+ years of experience in financial services, consulting or a data-driven product environment
Demonstrated success in developing and executing product and/or pricing strategies
Highly organized, self-driven and comfortable managing multiple priorities in a fast-paced environment
Exceptional analytical thinking, with the ability to connect data, market dynamics and business strategy
Excellent communication skills with a proven ability to persuade and influence cross-functional stakeholders and senior management
Strong SQL skills for querying large, complex datasets. Proficiency leveraging machine learning in R, Python and Spark is an asset
Experience using and implementing visualization tools like D3, Tableau or DOMO and storytelling with data
Proficiency in Microsoft applications including Excel, Visual Basic, Access, Word, and PowerPoint

Benefits to Joining Propel

Growth and opportunity – we pride ourselves on promoting from within
Incredible company culture
Competitive salary and health benefits
Comprehensive vacation package
Group health and dental benefits
Group RRSP program
Support for new parents
Diverse and inclusive workplace

Should you require accommodation throughout any stage of the recruitment and selection process, please specify your requirements when submitting your application and we will work with you to accommodate your needs.

We welcome and encourage applications from individuals from all groups, including aboriginal, women, visible minorities, and persons with disabilities, regardless of race, ethnicity, family status, national origin, age, people from gender and sexually diverse communities, and/or people with intersectional identities.

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted. No agencies or phone calls.

#LI-GS1

","hiringOrganization":{"@type":"Organization","name":"Propel Holdings","sameAs":"https://www.propelholdings.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, Ontario, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Manager, Product Analytics","datePosted":"2025-09-08","description":"

Company Description

About A Place for Mom:

A Place for Mom is the leading online resource connecting families searching for senior care with a team of expert advisors providing insight-driven, personalized solutions. As the nation’s largest senior care advisory service, A Place for Mom helps hundreds of thousands of families every year navigate the complexities of finding the right senior care solution for their loved ones across home care, independent living, memory care, assisted living, and more. Established in 2000 as a family business, A Place for Mom employees are deeply committed to the company mission to enable caregivers to make the best senior care decisions. A Place for Mom fosters, cultivates, and preserves a culture of diversity, equity, and inclusion.

Our employees live the company values every day:

Mission Over Me: We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy.
Do Hard Things: We are energized by solving challenging problems and see it as an opportunity to grow.
Drive Outcomes as a Team: We each own the outcome but can only achieve it as a team.
Win The Right Way: We see organizational integrity as the foundation for how we operate.
Embrace Change: We innovate and constantly evolve.

Job Description

The Position:

A Place for Mom is seeking a Manager, Product Analytics to help lead insights collection and experimentation workstreams within our digital product portfolio. This role will lead a team of analysts operating at the center of the tech development process, directly influencing how data is used by A Place for Mom’s technical leadership to make informed, accurate decisions about the future of our web products.

What you will do:

In this role, you will be an important thought partner with our senior technical staff around how A Place for Mom leverages our data to maximize outcomes for families and our community partners. You will also directly manage a team of analysts responsible for measuring and forecasting performance of A Place for Mom’s various product offerings, and for instituting the data best practices required for scaling effective analytics across product verticals.

Specific responsibilities include:

Direct ownership of reporting and insights around top-level product KPIs
Oversight of multiple analysts, each responsible for similar reporting and insights specific to individual product areas
Close collaboration with product and tech domain owners to develop event tracking specs, measurement plans, and other processes essential to building an accurate understanding of feature performance
Establishing consistent processes/a ”center of excellence” around A/B experimentation and its role within the product development process
Cultivating a positive and collaborative analytics team culture, while mentoring early-career analysts and facilitating their skills development
Collaborating with Data product around the creation of tools, services, and curated datasets that enable more efficient and accurate insight generation
Providing empirical, quantitative evidence in support of product/tech leadership priority decisions and communications - and working hand-in-hand with senior staff to collectively build robust business cases for proposed initiatives

Qualifications

Bachelor’s degree (Master’s preferred) in quantitative/statistics-intensive field such as Statistics, Economics, Mathematics, or Computer Science
6+ years of experience in applied data science and/or product analytics roles
Prior analytics leadership experience as manager, team lead, or equivalent with demonstrated skill at coordinating workflows of multiple individual contributors
Expertise with SQL plus one or more languages for data processing or statistical modeling (R, Python, etc.)
Demonstrated expertise with utilizing A/B experiments to assess feature performance and guide product decision-making
Excellence in communicating technical information and quantitative insights to leadership audiences
Comfort operating in high-pace environment and with evangelizing new processes to stakeholders

Additional Information

Compensation

Base Salary: $130,000 to $145,000 + 20% Bonus
Benefits:
- 401(k) plus match
- Dental insurance
- Health insurance
- Vision Insurance
- Paid Time Off

All your information will be kept confidential according to EEO guidelines.

#LI-KT1

#LI-REMOTE

","hiringOrganization":{"@type":"Organization","name":"A Place For Mom","sameAs":"https://www.aplaceformom.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Product Analytics teacher","datePosted":"2025-09-09","description":"

This is a remote position.

\n\n We, IT Career Hub, are a leading EdTech company dedicated to the development and training of IT professionals.
\n\n\n IT Career Hub's mission is to train adults to work in IT.
\n\n\n IT Career Hub's training programs are AZAV certified and designed to be flexible to the needs of adult students, providing the opportunity to learn regardless of work experience and previously acquired knowledge and skills.
\n\n\n
\n\n\n What will you need to do?
\n\n\n Teaching the Business Analytics module as part of the Data Analytics course, schedule: 9:30 to 12:45/14:30 Berlin time;
\n\n\n Schedule of classes at the link
\n\n\n Conducting and assessing tests;
\n\n\n Checking homework;
\n\n\n Participation in school events (workshops, open lessons, etc.);
\n\n\n Maintaining the relevance of the course together with the academic department;
\n

Requirements

\n\n What are we looking for in you?
\n\n\nDeep knowledge and understanding of business analytics methodologies and their application in data analysis;
Knowledge of unit economics, product analysis, conducting A/B and A/A testing, prioritizing business hypotheses;
Knowledge of data analysis tools such as Python, R or Tableau;
Excellent communication skills
Participation in school events (master classes, open lessons, etc.).
\n

Benefits

\n\n Our conditions:
\n\n\n Remote work, online teaching in groups of up to 20 people in Russian;
\n\n\n Hourly pay in Euro;
\n\n\n Conclusion of Service Agreement, payment by invoices;
\n\n\n Part-time employment
\n\n\n Work in an international IT institute.
\n\n\n Strengthening of personal brand.
\n\n\n PR in social networks - participation in webinars, hackathons, live broadcasts on Instagram, YouTube, TikTok, etc.;
\n\n\n Career growth.
\n
","hiringOrganization":{"@type":"Organization","name":"ITCareerHub","sameAs":"https://itcareerhub.de/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Product Analytics Manager","datePosted":"2025-09-10","description":"About AchieversAchievers offers more than just a thank you program. Our employee recognition and rewards software inspires employees to recognize everyone, every day, everywhere. With nearly 4 million global users, we empower employees across 170+ countries. Visit us at achievers.com to learn more and check out our platform in action. Join our team of A-players who bring passion to our purpose and believe that meaningful change creates extraordinary outcomes — together, we’ll inspire recognition everywhere and achieve results that matter.
Our commitment to you: At Achievers, we hire you for you because we value the unique perspective and individuality that each person brings to our team. We are committed to creating an inclusive, diverse, and equitable workplace where you belong, and your contributions are celebrated. Together, we achieve more by combining our unique strengths, fostering collaboration, and inspiring each other to reach new heights.
The opportunity:
Data is the heart of our strategy—and you'll be the expert who bridges product, engineering, and customer success to shape decisions that reach both internal stakeholders and end-users. Help shape a platform that strengthens workplace culture at scale. Thrive in a mission-driven company that values experimentation, autonomy, and meaningful recognition.\n

What you`ll be doing:

Own analytics across our rewards & recognition platform, focusing on both enterprise adoption and individual teams/users.
Partner with Product, Engineering, and Customer Success to define metrics, track performance, and deliver insights relevant at multiple layers— use data to inform decisions that drive client satisfaction, product adoption, and platform usage.
Craft comprehensive analytics flows, mapping user journeys from login to recognition to reward redemption and others.
Leverage Amplitude for funnel analysis, retention tracking, cohort segmentation, and user behavior insights.
Develop self-serve dashboards and reports (via Amplitude, Tableau, Looker, or internal BI tools) that monitor key metrics such as adoption trends, identify churn risks, and surface upsell opportunities.
Lead event tracking implementation and validation, coordinating with Engineering to ensure data consistency and scalability.
Maintain clear documentation and quality checks on analytics infrastructure and metric definitions.

What we`re looking for:

3–6 years in product analytics, growth analytics, or similar roles—ideally within HR‑tech, rewards platforms, or B2B2C environments.
Proficiency in SQL and experience with Amplitude (or similar platforms like Mixpanel, Heap).
Demonstrated ability to collaborate cross-functionally with Product, Engineering, and Customer Success—turning data into product and client‑focused insights.
Experience with A/B testing, funnel optimization, retention analysis, and experimentation.
Strong storytelling skills— you are able to deliver complex data insights clearly and persuasively across technical and non‑technical audiences.
Bonus: you also bring familiarity with HR‑related metrics (e.g., recognition frequency, redemption ROI), client usage patterns, or success outcome reporting.

Why you’ll love working at Achievers: ✨ We are passionate about disruptive technology that’s rooted in science, research and data.✨ We understand the value of employee success in the workplace and have been recognized in numerous publications for our contributions to HR, for technical excellence, and for our outstanding workplace culture! ✨ We foster an environment of connection, security, and community. You’ll feel at home, without reservation. ✨ We believe in moving quickly, failing fast, and adapting to change. ✨ We enjoy coming to work every day because we believe in our product and love our culture.✨ We’re committed to achieving excellence in everything we do.
Benefits & Perks for permanent full time employees:💰 Competitive Pay 👶🏼 Parental Leave Top-up 🩺 Health Benefits and Life Insurance Coverage Upon Your First Day 🙌🏼 RRSP Matching 🏖️ Flexible Vacation 🤝🏽 Employee and Family Assistance Program👩‍💻 Full access to the LinkedIn Learning Library 🎓 Internal Mentorship Program 👏🏼 Employee-Led Employee Resource Groups 🇨🇦 A beautiful office space located in Liberty Village, Toronto ✨ Participation in our Points-based Employee Recognition Program 📈 Opportunities for professional development and career growth Our work environment:Achievers is a hybrid-first company located at 99 Atlantic Ave in Liberty Village, Toronto. Our hybrid work experience is designed to cultivate an engaging employee experience, where pioneering research intersects with cutting-edge technology. We strongly believe that collocating teams increases the chance to innovate together, foster passive learning, create spontaneous connections, and promote better communication.
Achievers does not offer employment to prospects without first ensuring that qualified candidates speak directly with the hiring manager and a member of our HR team. All qualification will be done face-to-face, whether that is in person or over Zoom. Achievers does not send out offers of employment without meeting candidates and does not offer employment via text. If you are requested for any personal information via text and/or without having met a member of our hiring team in person, please disregard.
Our employees are a diverse and inclusive team of passionate, hardworking individuals. Achievers is an equal opportunity employer, committed to creating an environment where our employees can do the best work of their lives. We encourage all qualified candidates from all backgrounds and experiences to apply to join our A-Player family.
Achievers is committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any accommodations for your interview, such as assistive technology, wheelchair accessibility, or alternative formats of materials, please let us know. We are happy to make necessary arrangements to support your needs.
Achievers does not use AI to make hiring decisions. When you apply to work with us, a real person reads your application—every time. We believe in thoughtful, human-centred hiring, and we think your experience, personality, and potential can’t be judged by an algorithm. That’s why we keep it personal and take the time to get to know each qualified candidate. ","hiringOrganization":{"@type":"Organization","name":"Achievers","sameAs":"https://www.achievers.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Product Analytics Architect","datePosted":"2025-09-12","description":"

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Launched in 2023, Integrated Services creates and markets new customer experiences by integrating hardware, software and services across Ford Blue, Model e and Ford Pro. These products and services allow Ford's retail and commercial customers to customize their vehicles like never before with OTA (over-the-air)-driven experiences that grow better over time. Ford is developing leadership at the forefront of connected, digital platforms that will revolutionize every aspect of how vehicles function, the way people interact with them, and the value those vehicles provide.

In this position...

This is a mission-critical opportunity to solve one of the most significant challenges in the Digital Cabin org: data trust. We are looking for a Product Analytics Architect to lead a cross-functional mission to build our future analytics foundation. You will own the vision, architecture, and execution of a new operating model built on a modern data stack (dbt, data contracts). If you are a strategic leader who is passionate about data governance and wants to empower the entire organization with reliable insights, this role is your chance to make a lasting impact on how Ford builds products.

What you'll do...

Design & Govern Foundational Instrumentation: Partner hand-in-hand with Product Managers, Engineers, and SPEs to design and author our core event data contracts in a version-controlled repository, establishing a durable, repeatable practice for shipping high-quality data.
Architect a Scalable Data Platform: Partner with engineering leads to define the technical architecture and roadmap for our analytics platform. This includes the contract repository, CI/CD validation, and the implementation of dbt as our core transformation layer. You will set the vision and standards for our engineering partners to execute against.
Build the Source of Truth: Your work will create the clean, reliable data marts that the entire organization will depend on to make critical business decisions.
Enable Strategic Insight: By building foundational dashboards and reliable data sets, you will provide the necessary first step that unlocks our ability to move from baseline reporting to deep, predictive analysis and experimentation.
Drive a Culture of Data Confidence: You will be a key agent of change, building the tools, processes, and standardized reporting assets that increase data literacy and confidence across Product and Engineering.
Create Your Legacy: You will be a foundational member of the team that defined and built the modern analytics stack for one of the world's most iconic companies.

You'll have...

Bachelor's degree in a quantitative or technical field required
6+ years of experience in an analytics engineering, data engineering, or technical business intelligence role.
Expert-level SQL skills for complex data transformation and optimization.
Deep expertise in data modeling principles and a strong vision for implementing best practices with dbt.
Deep experience with a cloud data warehouse like GCP BigQuery, Snowflake, or Databricks.
Proven experience designing and implementing event-based analytics instrumentation for digital products.
Strong proficiency with at least one major data visualization tool (e.g., Looker, Tableau, Power BI).
Proficiency with the modern data engineering toolkit, including Git for version control and YAML for defining data contracts.
A true builder's mindset. You are a pragmatic problem-solver who is comfortable with ambiguity and thrives on the challenge of creating order out of chaos and building systems designed to last.

Even better, you may have...

Bachelor's degree in a quantitative field like Computer Science, Engineering, Statistics
Proven experience in technical program management, with a demonstrated ability to lead complex, cross-functional initiatives from concept to completion.
Experience with behavioral analytics platforms like Amplitude, Mixpanel, and Tableau.
Experience with data orchestration tools (e.g., Airflow, Dagster, Prefect).
Experience working as an embedded member of a product development team using Agile/Scrum methodologies.
Working knowledge of a scripting language like Python for automation or data analysis.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.

For more information on salary and benefits, click here: https://fordcareers.co/GSRSP2

This position is a salary grade 8.

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.

#LI-Hybrid

#LI-KR3

","hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://corporate.ford.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dearborn, MI, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":24,"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":25,"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.

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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":27,"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":28,"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":29,"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

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":30,"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

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.

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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.

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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":34,"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":35,"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":36,"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":37,"item":{"@type":"JobPosting","title":"Senior Product Analytics Manager","datePosted":"2025-08-19","description":"About Us\n\n

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us!

Available Locations: Austin, Lisbon, Mexico City

About the department

The Self-Serve Team is responsible for Cloudflare’s PLG business that serves ~20% of the internet. We run growth marketing and product experimentation across all product categories including Application Services, Cloudflare One and Developer Platform, and all Plans such as Free, Pro, Business & Enterprise. We work to grow the business by understanding our customers’ needs at every stage of their journey from Awareness to Activation to Expansion and Retention.

Who you are

Our Product Analytics team is responsible for generating data-driven insights to help make key decisions to improve our products and help our customers. You are excited to do this at tremendous scale across our product suite. You excel at immersing yourself in a lot of data and synthesizing that data into actionable insights. You love to move uncomfortably fast and thrive in ambiguity.

Responsibilities

Help to build an insights engine.
Become an expert in our data and systems. You should be able to get the underlying data for all of our customers & products.
Generate insights and recommendations for how we should drive growth across any of our products.
Understand key company and product team objectives. Use this understanding to prioritize the many programs being run by the teams we support.
In some cases you will be responsible for the execution of key programs. You will need to build strong relationships with our product and engineering leaders and drive those programs to completion.

Who you are

Minimum of 10+ years of analytics, operations, and/or data science experience, ideally in PLG or B2C companies.
Strong analytical skills, especially with Excel and ideally including proficiency in SQL and Tableau
Willingness to roll up your sleeves, write queries, and work with large quantities of data.
Experience with and point of view on best practices for a PLG technology stack
Experience driving long term cross-functional projects and thriving as the “glue person”. This means you are exceptional at understanding complex problems and designing solutions.
Just as importantly, you are able to mobilize a cross-functional team to execute the solution.
You are highly motivated to make Cloudflare and your team successful.
Demonstrative executive presence and ability to influence at all levels of the organization.
Excellent verbal and written communication skills.
Customer facing experience is a plus!

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

","hiringOrganization":{"@type":"Organization","name":"Cloudflare, Inc.","sameAs":"https://www.cloudflare.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hybrid"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Manager Product Analytics & Growth","datePosted":"2025-08-20","description":"

Grade Level: L3

Reports to: Head of Digital Product Design & Analytics

Department: Jazz Lifestyle Ventures (JLV)

Apply by: 26h Aug, 2025

At Jazz, we’re a leading digital innovator shaping the future of Pakistan’s digital ecosystem as a service co. As Manager product analytics & growth you will play a vital role in driving business growth and innovation through data-driven insights and leading strategic initiatives.

If you’re passionate about using data-driven insights to create better digital experiences and unlock business growth, this is the place for you.

What is Manager Product Analytics & Growth

In this role you will be the data champion for Jazz’s Lifestyle Ventures, ensuring actionable insights are at the core of every decision. You’ll design, implement, and optimize analytics frameworks that measure user behavior, engagement, and conversion across web and app platforms.

This position demands a unique blend of analytical depth, commercial sharpness, and product sensibility. You will work closely with product managers, UX/UI, technical teams and business stakeholders to to ensure that every product decision is backed by robust data and every customer touchpoint is optimized for growth and enhance customer experience.

Product Analytics & Growth Optimization

· Conduct in-depth analysis for digital products of large and complex data sets to identify trends, patterns, and insights that inform strategic decision-making.

· Perform deep-dive analysis on large, complex datasets to extract insights that guide product enhancements, growth experiments, and customer targeting strategies.

· Critical thinking on business acumen and identify the opportunities on business problems and devise the end-to-end plan with solutions.

· Design and maintain robust digital analytics frameworks tailored for web and mobile product ecosystems.

Growth Strategy & Cross-Functional Leadership:

· Brainstorming Digital industry landscape and identifying new gaps for creating engaging products strategies.

· Lead and/or participate in projects from inception to completion, ensuring delivery on time and in alignment with business objectives.

· Coordination with Digital Product and Growth teams to identify and act on growth opportunities, customer trends, and market shifts.

· Work closely with cross-functional teams to develop and implement innovative solutions that address business challenges and drive growth.

· Creating visibility to management through automated reporting i.e. Dashboards and identifying red flags pro-actively.

Customer Growth & Journy Intelligence:

· Conduct in-depth user research to understand the target audience, their behaviours, goals, and pain points.

· Map, evaluate, and enhance end-to-end user journeys across Jazz Lifestyle Verticals.

· Identify friction points and optimize for task completion, clarity, and seamless interaction.

· Identify UX gaps and collaborate and develop the information architecture on wireframes, sitemaps, and experience architecture for enhanced usability and retention.

· Create user personas based on research findings to guide design decisions.

· Develop personas, user segments, and journey frameworks to inform product design and marketing strategies.

· Ensure experiences are inclusive, scalable, and aligned with user expectations.

Apart from the details mentioned above for the given role, responsibilities and deliverables will include the following:

· In-App Analytics/ Engagement tracking/ User preferences/Firebase & Mix panel Analytics

· Digital users cross product analysis with GSM and other products

· Forecasting subscribers, revenue and other critical KPIs preferably using Advanced analytics Models.

· Reporting and Monitoring of major KPIs i.e. MAU’s DAU’s, Revenue, Churn etc.

· Updating management and key stakeholders on performance

· Deep dives to point out areas of improvement essential for business growth.

· Jazz is an equal opportunity employer. We celebrate, support, and thrive on diversity and are committed to creating an inclusive environment for all employees.

Jazz is an equal opportunity employer. We celebrate, support, and thrive on diversity and are committed to creating an inclusive environment for all employees.

Requirements

What are we looking for and what does it require to be Manager Product Analytics & Growth?

· 7+ years’ experience Business Analytics, Growth Analytics, Customer Growth Management

· Prior experience of working in Digital or GSM sector

· Master/Bachelor ’s degree in Marketing/Business Analytics/ Advance Analytics

· Experience with analytical and reporting tools, including Tableau, Google Analytics, SQL, Power BI, and other technical competitive tools available in the market.

· Deep knowledge of evolving digital market

· Strong analytical and strategic thinking skills

· Ability to make data-driven decision’s.

· Excellent interpersonal and collaboration skills

· Strong communication and presentation skills with high command on presentation making and data modeling

Benefits

Why Join Jazz?

· As one of the leading employers in the country, Jazz epitomizes the philosophy that each Jazz employee is passionately living a better every day inspired and enabled by visionary leadership, a unique professional culture, a flourishing lifestyle, and continuous learning and development.

· As one of the largest private sector organizations in Pakistan, our objective is to continue to change the lives of our 70 million customers for the better. This is an opportunity for someone who wants to be part of something transformative, someone who can play a critical role in driving our success. Together, we can empower millions more with the tools necessary to progress in an increasingly digital economy.

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Our Mission

Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable.

Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down.

We’re 17 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.

Your Impact on our Mission:

As a Senior Manager, Product Analytics, you’ll lead a high-performing analytics team that partners with Product, Engineering, and other cross-functional leaders to power Zocdoc’s decision-making. You will oversee analytics for large or high-complexity product areas, ensuring your team delivers strategic insights, drives operational excellence, and advances our analytical capabilities. You’ll own medium- and long-term planning for your team, develop top talent, and be a trusted thought partner to senior leadership.

You’ll Enjoy This Role If You Are…

A strategic analytics leader who thrives on solving complex business challenges through data
Passionate about building and developing high-performing teams
Adept at influencing senior stakeholders with compelling, data-driven narratives
Excited to set a vision for analytics in your area and translate it into actionable roadmaps
Skilled at creating scalable processes that improve efficiency, quality, and impact
Experienced in designing and scaling analytics solutions that drive insights and growth

Your Day-to-Day Is…

Leading and developing a team of analysts to deliver high impact insights by providing strategic direction and hands-on support.
Providing analytical leadership, ensuring insights influence product roadmaps and long-term strategy.
Designing high-impact analytics solutions and actively contributing to projects that uncover actionable insights.
Influencing decision making in cross-functional teams using insights generated through quantitative and qualitative data.
Owning team roadmaps, defining success criteria and aligning initiatives and priorities with stakeholders.
Establishing and refining processes to continuously improve analytical workflows, quality control, and stakeholder alignment.
Mentoring and coaching direct reports on technical, stakeholder, and career skills; giving feedback that drives growth.
Driving alignment between cross-functional teams on objectives, key metrics, analytical techniques and data governance.
Partnering with Product, Data, Engineering, and Finance to identify opportunities, shape strategy, and deliver insights.

You’ll be successful in this role if you have…

4+ years experience leading and developing high-performing analytics teams, including individual contributors and/or managers
6+ years in analytics, data science, or a related field with a track record of delivering insights and influencing product decisions
Ability to translate complex information into clear, actionable insights for senior leadership and non-technical audiences
Strong expertise in SQL and advanced data visualization (e.g., Looker, Tableau)
Deep knowledge of experimentation and causal inference methods, including A/B testing design, execution, and analysis, along with broad expertise in advanced analytical methodologies such as statistical modeling, forecasting, and segmentation
Solid experience and understanding of data modeling, data warehousing, and analytics architecture
Skilled at managing competing priorities, navigating organizational complexity, and building cross-functional alignment
A collaborative mindset with the ability to influence decisions at all levels of the organization
Strategic thinking with hands-on problem-solving to turn vision into impactful results
Excellent communication skills across all levels of stakeholder (business & technical)

Benefits

Flexible, hybrid work environment at our convenient Soho location
Unlimited Vacation
100% paid employee health benefit options (including medical, dental, and vision)
Commuter Benefits
401(k) with employer funded match
Corporate wellness programs with Headspace and Peloton
Sabbatical leave (for employees with 5+ years of service)
Competitive paid parental leave and fertility/family planning reimbursement
Cell phone reimbursement
Catered lunch everyday along with beverages and snacks
Employee Resource Groups and ZocClubs to promote shared community and belonging
Great Place to Work Certified

Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate’s experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity; your recruiter will discuss the full compensation package details.NYC Base Salary Range$159,000—$238,000 USD

About us
Zocdoc is the country’s leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc’s Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world’s leading investors, and we believe we’re still only scratching the surface of what we plan to accomplish.

Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We’re an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.

Job Applicant Privacy Notice

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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

Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems
Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our growth products
Work as a key member of the product team to solve problems and identify trends and opportunities
Inform, influence, support, and execute our product decisions and product launches in partnership with Product, Engineering, and cross-functional teams
Set KPIs and goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics
Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends Identifying levers to help move key metrics

Minimum Qualifications

Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
4+ years experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
4+ 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]
Candidate must remain in role in the same team in India for a minimum period of 24 months before being eligible for transfer to another role, team or location

Preferred Qualifications

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

We’re Underdog.

The fastest-growing sports gaming company, ever. We’re here to make sports more fun. We pair intuitive user experiences with innovative game designs to build the best experience for sports fans in America.

Since 2020, we’ve launched four of today’s most widely played fantasy games, and built the Underdog Sportsbook entirely in-house with our own tech. We move fast, act with urgency, and create experiences you won’t find anywhere else.

With a $1.2 billion valuation and backing from investors like BlackRock, Spark Capital, SV Angel, Mark Cuban, Kevin Durant, Adam Schefter, and more, we’re just getting started.

At Underdog, we play and win as a team. We take chances and are unafraid to attack hard problems. We face challenges with ambition and optimism. We play for the love of the game.

We’re Underdog. And winning as an Underdog is just more fun.

Join us.

As the Senior Manager of Product Analytics, you’ll lead a team whose insights directly shape the future of Underdog’s products. This is a high-impact role at the intersection of data and product strategy, where your work will influence how millions of users experience Underdog. You’ll have the opportunity to build processes, frameworks, and partnerships that ensure analytics is a driver of measurable product success.

About the role

Lead, coach, and develop a team of Product Analysts, fostering growth while ensuring delivery of high-quality, impactful insights.
Own the strategy and execution of experimentation frameworks (A/B, multivariate, multi-arm and contextual bandit, etc.), ensuring tests are designed, run, and communicated with rigor and clarity.
Establish analytical frameworks and KPIs to evaluate product performance and provide actionable recommendations for new and existing features.
Improve intake, prioritization, and visibility of analytics work so stakeholders clearly understand progress, priorities, and outcomes.
Ensure Product Analysts are integrated into product planning meetings (PM/EM/Design) to influence decision-making early in the development process.
Lead and refine product readouts and Slack updates to improve communication and visibility of key insights and deliverables.
Partner with Product leadership to shape roadmaps, identify opportunities, and ensure analytics is central to strategic decision-making.
Champion a data-driven culture across the product organization by democratizing access to data through business intelligence tools and setting standards for clear, compelling storytelling with insights.
Define the mission, vision, and long-term strategy for Product Analytics at Underdog, including processes, frameworks, and tooling improvements.

Who you are

Team Leader: You manage, coach, and develop product analysts to deliver high-quality, impactful insights.
Experimentation Expert: You design and run A/B and multivariate tests, leveraging tools like Amplitude Experiment, LaunchDarkly, StatSig, Optimizely, or Eppo to guide product decisions.
Analytical Strategist: You build frameworks to evaluate product performance, track KPIs, and turn data into actionable recommendations.
Collaborative Partner: You work closely with Product Leadership, PMs, Engineers, and Designers to define problems, uncover insights, and influence the product roadmap.
Data Evangelist: You champion data-driven decision-making, ensuring analytics are accessible, trusted, and central to product strategy.
Storyteller: You translate complex analysis into clear, compelling narratives that inspire confidence and drive alignment.

Even better if you have

Experience in the sports industry, particularly fantasy sports or sports betting.
Deep expertise with advanced experimentation platforms such as LaunchDarkly, Optimizely, StatSig, or Eppo.
Background working in fast-paced, agile product development environments.
A track record of scaling analytics processes, tools, or teams to meet growing business needs.
Familiarity with modern data stacks and visualization tools to drive self-serve insights.

Our target starting base salary range for this position is between $180,000 and $210,000, plus target equity. The starting base salary will depend on a number of factors including the candidate’s skills and experience, among other things.

What we can offer you:

Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
16 weeks of fully paid parental leave
A $500 home office allowance
A connected virtual first culture with a highly engaged distributed workforce
5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents

#LI-REMOTE

This position may require sports betting licensure based on certain state regulations.

Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status, or any other defining characteristic.

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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.

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Job Title

Product Analytics Strategy Lead

Summary

As the Product Analytics Strategy Lead for Hospitality, you will be the driving force behind the strategy for our digital analytics vision and the execution of a unified measurement framework across all guest-facing digital products. You will define and lead the product lifecycle of how we track, interpret, and act on user behavior data to improve product performance, enhance guest experiences, and support both internal teams and high-end clients in making data-informed decisions.

This is a unique opportunity for an experienced and technically strong digital analytics professional who thrives in a dynamic environment, brings a high level of autonomy, and is confident leading both strategy and execution. If you're proactive, collaborative, and excited by the challenge of building the next generation of analytics strategy for digital guest experience products in Amadeus Hospitality, we’d love to hear from you.

Key Responsibilities

Strategy Ownership: Design and lead the long-term analytics strategy across all guest-facing hospitality products, ensuring alignment with business goals, KPIs, and client needs;
Functional Leadership: Guide and support the analytics function, mentor the Senior Product Analyst, and lead collaboration with external analytics vendors and consultants;
Cross-Functional Collaboration: Work closely with product, UX, development, marketing, and go-to-market teams to embed analytics into the product lifecycle and support Operations;
Client Enablement: Support high-end clients and client-facing teams with advanced analytics implementations, campaign tracking, and strategic measurement guidance;
Data Governance & Compliance: Ensure analytics practices are scalable, privacy-compliant, and aligned with legal, regulatory, and internal standards;
Insight Activation: Generate actionable insights, establish regular reporting and case study processes, and support product and UX decisions through data;
Analytics Culture Building: Promote a data-informed mindset across the organization by sharing best practices, success stories, and enabling teams to confidently use analytics.

About the ideal candidate:

Bachelor’s degree in a relevant field such as Data Science, Computer Science, Statistics, Economics, Business Analytics, or a related discipline;
Master’s degree preferred, particularly in analytics, digital strategy, or business intelligence;
Relevant certifications (e.g., GA4, Adobe Analytics, SQL, Python, or tag management platforms) are a plus;
Minimum of 10 years of experience in digital or product analytics, ideally with exposure to the hospitality industry or guest-facing digital products;
Proven ability to lead cross-functional analytics initiatives and collaborate with product managers, engineers, UX designers, and senior stakeholders;
Strong technical proficiency in analytics tools and platforms (e.g., GA4, Adobe Analytics, SQL, Looker Studio, Tableau, or similar);
Skilled in identifying problems, analyzing root causes, and developing data-driven solutions;
High attention to detail and data quality, with a strong focus on accuracy, validation, and reliability of insights;
Experience mentoring and guiding team members as lead, fostering a collaborative and high-performing analytics culture;
Experience managing external analytics vendors or consultants, including budgeting, contracting, and overseeing deliverables;
Ability to communicate complex data clearly and effectively to both technical and non-technical audiences, through written reports and presentations) are a plus.

What we can offer you:

💰 A complete rewards offer - Amadeus provides attractive remuneration packages, covering all essential components of a competitive reward offer, including bonus, equity, pension plan, travel, life and healthcare insurance, as well as lunch and transport allowance and other benefits.
🌎 A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.
🎓 Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, through on-the-job training, formal learning activities, and day-to-day interactions with colleagues.
🤗 A caring environment - Amadeus fosters a caring environment, nurturing both a fulfilling career and personal and family life. We care about our employees and strive to provide a supportive work environment.
🌟 A flexible working model - We want our employees to do their best work, wherever and however it works best for them.
🌈 A diverse and inclusive community - We are committed to leveraging our uniquely diverse population to drive innovation, creativity, and collaboration across our organization.
📈 A Reliable Company - Trust and reliability are fundamental values that drive our actions and shape long-lasting relationships with our customers, partners, and employees.
🎯 A critical mission and purpose - At Amadeus, you will be powering the future of travel and pursuing a critical mission and extraordinary purpose.

#LI-EMEA

Diversity & Inclusion

Amadeus aspires to be a leader in Diversity, Equity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience. 

Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law. 

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Job Description

Zendesk is seeking a Senior Analyst, Product Analytics who will become an authority in our product's data. You will analyze customer behavior to uncover insights that drive product adoption and customer retention. You will work with multiple teams and provide in-depth analysis to support strategic decisions within Product Development and Go-To-Market organizations.

Analyze customer data to identify their needs and how they benefit from Zendesk products. Use this information to inform future business strategies and increase value.
Analyze product consumption trends and customer behavior changes by defining and tracking key performance metrics, understanding key drivers and proactively surfacing insights to key leaders
Analyze and validate data related to our customers and products. Build curated intermediate tables by redefining raw data for key areas of product usage.
Understand the business objectives of Product stakeholders, capture clear requirements, develop SQL queries, perform analyses and develop insights to understand product usage and adoption and customer performance outcomes
Partner with data engineering teams to drive standardization and consistency of product data modeling, schemas and insights reporting across the entire company

What you bring to the role

Background in a quantitative and/or business field, such as business analytics, economics, applied mathematics, statistics. A degree (BS/BA or equivalent experience) is preferred.
Proven ability and experience in data analytics, analytics engineering, business intelligence, data visualization and storytelling, quantitative research, or related field (experience in Product Analytics and/or Pricing Analytics a plus)
Advanced knowledge of SQL a must (experience with Snowflake a plus)
Experience with Tableau, Looker, or similar data visualization tools
Experience with dbt, Airflow a plus but not required
Boundless intellectual curiosity - you are self-motivated and unafraid to ask questions in order to learn and grow
Experience at fast-paced and scaled B2B Tech companies a plus

#LI-KM7

The Poland annualized base salary range for this position is zł146,000.00-zł220,000.00. Please note that while the salary range represents the minimum and maximum base salary rate for this position, the actual compensation offered will be based on job related capabilities, applicable experience, and other relevant factors. This position may also be eligible for bonus, benefits, or related incentives that will be communicated during the offer stage.

Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.

The intelligent heart of customer experience

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.

","hiringOrganization":{"@type":"Organization","name":"Zendesk","sameAs":"https://www.zendesk.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Poland - Krakow - Office","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Data Engineer, Product Analytics","datePosted":"2025-09-04","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

Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Improve logging
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

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
2+ 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
2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Preferred Qualifications

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

Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand.

Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.

About the Role:

As a Data Scientist on Liftoff’s Product Analytics team, you’ll transform complex data into rigorous analysis that directly shapes product strategy and machine learning development. You’ll partner with Product, Engineering, and ML teams to define success metrics, design and evaluate experiments, and uncover the drivers of user behavior and advertising performance.

This role is ideal for someone who thrives in a fast-moving, data-rich environment, enjoys both building data applications as well as applying advanced statistical and machine learning methods, and wants to collaborate cross-functionally to influence product direction and the evolution of Liftoff’s ML-powered platform.

Responsibilities:

Define key success metrics in collaboration with Product and Engineering teams; ensure metrics are statistically sound and consistently measured.
Design and conduct A/B tests and other experiments to validate product hypotheses with statistical rigor, providing objective assessments of product impact.
Apply advanced statistical and machine learning methods to uncover performance drivers/bottlenecks, and help inform the direction of Liftoff’s ML development.
Develop scalable analytical frameworks and reusable code to streamline recurring analyses and improve internal data models.
Productionize deep analytics work into user-facing dashboards, applications, and data products that enable self-service insights and scalable performance monitoring across teams.
Collaborate with Product, Data Engineering, and ML teams to evaluate new features, improve modeling frameworks, and continuously iterate on ML performance.
Investigate anomalies and trends in product or business performance and present clear, actionable insights.
Mentor analysts, foster a culture of data literacy, and set standards for analytical rigor both within the Product Analytics function and across the organization.
Document methodologies, models, and workflows to ensure reproducibility, transparency, and institutional knowledge.

Requirements:

3+ years of experience in product, business, or data analysis in data-driven environments (e.g., ad-tech, mobile, SaaS).
Degree in a quantitative field (e.g., Computer Science, Statistics, Economics, Engineering, or related). Advanced degree preferred; equivalent practical experience accepted.
Expertise in SQL with the ability to query, transform, and optimize large datasets across distributed query engines (e.g., Trino, Spark, BigQuery).
Proficiency in Python and the data science ecosystem (Pandas, NumPy, SciPy, scikit-learn, statsmodels, Jupyter), with hands-on experience conducting exploratory and statistical analyses.
Strong foundation in statistical methods and experimental design (e.g., hypothesis testing, regression analysis, causal inference, A/B testing frameworks).
Ability to translate complex analyses into clear, actionable recommendations for diverse audiences ranging from engineers to business leaders.
Experience with BI and visualization tools (e.g., Looker, Hex, Tableau, Databricks) to enable transparency and self-service reporting.

\n\n

Location:
This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, TX, UT, and WA.

We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City.

Travel Expectations:
We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building.

Compensation:
Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience.

The following are our base salary ranges for this role:

SF Bay Area, NYC, Los Angeles/Orange County: $XX,000 - $XXX,000 plus bonus
Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $XX,000 - $XXX,000 plus bonus
All other cities and towns in our approved states: $XX,000 - $XXX,000 plus bonus

\n\n

#LI-REMOTE

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We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process, we provide Covey with job requirements and candidate-submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

Please see the independent bias audit report covering our use of Covey here.

Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We’re shaping the future of the mobile app ecosystem—join us and help accelerate what’s next.

Liftoff’s compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence.

Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law.

Agency and Third Party Recruiter Notice:

Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

","hiringOrganization":{"@type":"Organization","name":"Liftoff","sameAs":"https://liftoff.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"California","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Subscription Product Analytics Manager","datePosted":"2025-09-08","description":"

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

ServiceNow is looking for an outstanding Subscription Product Analytics Manager to join our Subscription & Compliance Analytics team. This position offers the chance to collaborate with product managers, Pricing Strategy, Legal, Platform Engineering, Subscription Management and Pricing Ops to ensure new products are measurable, accurate, transparent, and reproducible, driving revenue growth and improving customer and sales experiences.

In this role you will....

Collaborate with the NPI (New Product Introduction) team to bring new products to market and support operational process improvements
Proactively meet with business units to understand both enhancements to existing products and the development of new ones. Act as the use verification approval point
Advocate for all products to meet standards of Measurability, Accuracy, Transparency, and Reproducibility (MATR)
Serve as the authority on use verification documentation for new products and product updates Ensure Use Verification Analysts are well-informed prior to product releases
Work closely with the Pricing Strategy team and participate in stakeholder meetings, particularly on new product introductions, licensing, and usage
Maintain up-to-date documentation for internal teams and stakeholders
Train cross-functional teams on best practices related to product use verification, usage rules, and verification processes
Identify opportunities for process improvements and automation. Design workflows and collaborate with cross-functional teams to develop, test, and implement these improvements

Qualifications

In order to be successful in this role you have:

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
Minimum 6-8 years’ experience in data analytics, operations, or similar roles, preferably in the software industry
Significant experience working with end customers
Ability to articulate complex concepts in a clear and concise manner
Solid understanding of cloud application technologies and concepts
Experience in license compliance, audit, or usage verification

Desired Skills & Experience:

Strong questioning skills to uncover key details
Proficiency with BI tools (e.g., Tableau, Power BI, SQL, Snowflake)
Expertise in creating CPM schedules
Experience in workflow design, project management, or Agile SDLC
Experience with SaaS subscription and entitlement frameworks
Excellent communication and presentation skills
Strong interpersonal and problem-solving abilities
Keen attention to detail
MBA preferred

For positions in this location, we offer a base pay of $121,700 - $213,000, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

Company Description

Job Description

In this role you will....

Collaborate with the NPI (New Product Introduction) team to bring new products to market and support operational process improvements
Proactively meet with business units to understand both enhancements to existing products and the development of new ones. Act as the use verification approval point
Advocate for all products to meet standards of Measurability, Accuracy, Transparency, and Reproducibility (MATR)
Serve as the authority on use verification documentation for new products and product updates Ensure Use Verification Analysts are well-informed prior to product releases
Work closely with the Pricing Strategy team and participate in stakeholder meetings, particularly on new product introductions, licensing, and usage
Maintain up-to-date documentation for internal teams and stakeholders
Train cross-functional teams on best practices related to product use verification, usage rules, and verification processes
Identify opportunities for process improvements and automation. Design workflows and collaborate with cross-functional teams to develop, test, and implement these improvements

Qualifications

In order to be successful in this role you have:

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
Minimum 6-8 years’ experience in data analytics, operations, or similar roles, preferably in the software industry
Significant experience working with end customers
Ability to articulate complex concepts in a clear and concise manner
Solid understanding of cloud application technologies and concepts
Experience in license compliance, audit, or usage verification

Desired Skills & Experience:

Strong questioning skills to uncover key details
Proficiency with BI tools (e.g., Tableau, Power BI, SQL, Snowflake)
Expertise in creating CPM schedules
Experience in workflow design, project management, or Agile SDLC
Experience with SaaS subscription and entitlement frameworks
Excellent communication and presentation skills
Strong interpersonal and problem-solving abilities
Keen attention to detail
MBA preferred

Additional Information

Work Personas

Equal Opportunity Employer

Accommodations

Export Control Regulations

","hiringOrganization":{"@type":"Organization","name":"ServiceNow","sameAs":"https://www.servicenow.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Diego, California, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Data Scientist, Product Analytics","datePosted":"2025-09-09","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
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
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
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations

Minimum Qualifications

Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
2+ years experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
2+ 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

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":"Zurich, Switzerland","addressCountry":"Switzerland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Data Scientist, Product Analytics","datePosted":"2025-09-09","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]
Candidate must remain in role in the same team in India for a minimum period of 24 months before being eligible for transfer to another role, team or location

Preferred Qualifications

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

Base Pay Range

Company Description

Job Description

Qualifications

Additional Information

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

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Must also have experience with the following special skills:

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