Senior Manager, Data Analytics

Walmart Walmart · Retail · Bentonville, AR

Seeking a Senior Manager Data Analyst to transform workforce data into actionable insights using AI-powered dashboards and data products. This role focuses on creating narratives behind the numbers to drive self-service and strategic decision-making.

What you'd actually do

  1. Design intuitive dashboards (Tableau, Power BI, GCP) that enable self-service, proactively surface insights, and embed trusted logic and context for clarity and consistency.
  2. Transform complex data into clean, automated pipelines and collaborate with engineers to deliver dynamic, AI-enhanced reporting experiences.
  3. Ensure data reliability by standardizing definitions across teams, resolving disconnects early, and championing governance practices.
  4. Transform data into clear, compelling narratives through visualization and storytelling, empowering users to understand and act with confidence.
  5. Leverage AI to scale insights through features like natural language summaries and anomaly detection, while ensuring clarity, speed, and stakeholder trust.

Skills

Required

  • 7+ years in data analytics, BI, or people analytics within large, complex environments
  • Advanced SQL skills
  • Experience with cloud platforms (e.g., GCP, BigQuery)
  • Proficient in BI tools like Power BI, Tableau, or similar
  • Hands-on experience with automation and data processing tools (e.g., Alteryx, Dataiku, Python)
  • Familiarity with integrating AI features into reporting workflows
  • Deep understanding of how workforce data informs decisions across HR, Finance, and Operations
  • Skilled at translating complex data into high-trust insights for planning and strategy
  • Ability to anticipate downstream impacts and proactively address misalignment
  • Proven ability to simplify complex analysis for senior audiences
  • Strong visual storytelling skills—turning dashboards into persuasive narratives
  • Track record of enabling leaders to act quickly and confidently on insights
  • Experience navigating matrixed, enterprise-scale organizations
  • Ability to influence without authority through clarity and evidence
  • Comfortable setting standards and driving quality in ambiguous environments
  • Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field OR Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related

Nice to have

  • Experience with HR systems like Workday
  • Background in workforce planning, HR transformation, or financial headcount planning
  • Exposure to high-volume, operationally complex environments (e.g., retail, logistics, supply chain)

What the JD emphasized

  • AI-powered data products
  • AI-enhanced reporting experiences
  • Integrate AI for Smarter Insights
  • Leverage AI to scale insights