MANAGER, DATA ANALYTICS

Walmart, IN KA BANGALORE Home Office Building 10

What you will do

Design, build, publish, and maintain interactive dashboards and reports in Power BI to support executive and operational decision-making
Administer Power BI Service (workspaces, deployment pipelines/Apps) with robust processes for refresh schedules, access controls, and versioning; implement RLS where appropriate
Develop high-quality data models (star/snowflake) optimized for performance, maintainability, and future reuse.
Write complex SQL (CTEs, window functions, stored procedures) for large datasets; tune queries and optimize execution plans for reliability and s peed.
Create advanced DAX measures and Power Query transformations; apply BI best practices for model design, visuals, and performance optimization.
Document solutions and enforce BI governance, ensuring dashboards are scalable, accurate, and well-documented.
Engage stakeholders to define KPIs, translate business requirements into analytical specs, and iterate based on feedback to drive measurable business outcomes.
Leverage AI-powered analytics tools (e.g., Microsoft Copilot, OpenAI GPT, or similar) to automate data preparation, generate insights, and enhance reporting efficiency.

Walmart, IN KA BANGALORE Home Office Building 10

Design, build, publish, and maintain interactive dashboards and reports in Power BI to support executive and operational decision-making
Administer Power BI Service (workspaces, deployment pipelines/Apps) with robust processes for refresh schedules, access controls, and versioning; implement RLS where appropriate
Develop high-quality data models (star/snowflake) optimized for performance, maintainability, and future reuse.
Write complex SQL (CTEs, window functions, stored procedures) for large datasets; tune queries and optimize execution plans for reliability and s peed.
Create advanced DAX measures and Power Query transformations; apply BI best practices for model design, visuals, and performance optimization.
Document solutions and enforce BI governance, ensuring dashboards are scalable, accurate, and well-documented.
Engage stakeholders to define KPIs, translate business requirements into analytical specs, and iterate based on feedback to drive measurable business outcomes.
Leverage AI-powered analytics tools (e.g., Microsoft Copilot, OpenAI GPT, or similar) to automate data preparation, generate insights, and enhance reporting efficiency.