Data Analytics Manager (Front End Dev/AI Engineer)

Data Analytics Manager (Front End – Power Platform, Power Pages, Data-Driven Apps & Visualization)

We are seeking a self-driven, full-stack Power Platform Developer with a strong foundation in UI/UX creation, data modeling, and backend integration. In this role, you will lead the end-to-end development of business applications and dashboards using the Microsoft Power Platform—Power Apps, Power Pages, Power Automate, and Power BI—while integrating enterprise-grade data models and backend services. Experience with AI/ML is a plus. This is a high-impact role for a hands-on developer who can translate raw business requirements into scalable, interactive, and intelligent user experiences.

 

Why Join Us?

• Build modern business apps with Microsoft’s low-code and pro-code stack.
• Collaborate in a forward-thinking, cross-functional team that values innovation and impact.
• Take ownership of end-to-end solutions with autonomy to experiment, deliver, and scale.

Responsibilities

Core Responsibilities

• Design and develop Power Apps (Power Pages, Canvas or Model-Driven) for user-friendly, business-centric interfaces.
• Build Power BI dashboards with real-time and historical data views for actionable insights.
• Architect robust data models using Dataverse, OneLake, or Azure Data Lake (ADLS Gen2).
• Automate workflows and business logic using Power Automate and Power Fx.
• Integrate with backend services and APIs using REST, Azure Functions, or JavaScript connectors.
• Optimize data transformation and logic using DAX, SQL, and M language.
• Apply best practices for deployment and lifecycle management using GitHub or Azure DevOps.
• Hands on experience in Javascript, HTML, CSS and Liquid Coding.
• Experience in Developing Applications from scratch with leading the development.
  
  

Qualifications

Basic Qualifications:

 

• 4–6 years of hands-on experience with Power Platform (Power Apps, Power BI, Power Automate).
• Bachelor’s or Master’s in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
• Strong data modeling experience using Dataverse, OneLake, or Azure Storage.
• Proficiency in DAX, Power Fx, M, and SQL for data transformation and logic.
• Demonstrated experience in designing and deploying full-stack Power Platform solutions.
• Experience with custom Power BI visuals using Chart.js, D3.js, or the Power BI Custom Visual SDK.
• Working knowledge of API integration and automation tools in Microsoft ecosystem.

 

Preferred Qualifications:

• Strong ownership mindset and ability to work independently across design, development, and delivery.
• Strong problem-solving and critical thinking abilities.
• Comfort with engaging business stakeholders to gather requirements and present prototypes.
• Learning mindset to quickly self learn-implement-deploy.
• Passion for building user-centric, data-powered applications that drive business impact.
• Hold Microsoft certifications like PL-400 (Power Platform Developer), PL-300 (Power BI Analyst), or DP-100 (Azure Data Scientist).

• Have experience integrating AI/ML models into Power Platform solutions.
• Can showcase a portfolio of interactive apps, embedded dashboards, or ML-enhanced experiences.

 

 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.