Data Analyst responsible for creating and managing BI dashboards for Walmart Global Tech. Collaborating with stakeholders and utilizing advanced AI tools for data insights and reporting.
Responsibilities
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 speed.
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.
Stay updated on advancements in AI and machine learning relevant to business intelligence, and proactively identify opportunities to integrate these technologies into analytics workflows.
Requirements
Graduate/Post Graduate in any discipline with strong technical understanding and advanced knowledge of finance & reporting
5–7 years of experience in analytics/BI
Expert-level Power BI skills (DAX, Power Query, data modeling).
Experience managing Power BI Service environments and Apps (workspace administration, deployments).
Advanced SQL proficiency working with large, complex datasets; comfort with stored procedures and performance tuning.
Strong problem-solving, communication, and stakeholder engagement skills; high ownership from design to delivery.
Solid understanding of data governance/quality and BI best practices.
Demonstrated experience using AI tools (such as Copilot, GPT, or other generative AI platforms) to streamline data analysis, automate repetitive tasks, and support decision-making.
Ability to evaluate and implement emerging AI technologies to drive innovation in business intelligence and financial analytics.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance.
Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
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