Senior Manager, Data Analytics - WMUS People Insights & Strategy

Walmart • Bentonville, AR

2d • $90,000 - $180,000

About The Position

We’re seeking a Data Analyst and Business Insights Senior Manager to turn complex workforce data into clear, actionable insights. This IC role builds intuitive dashboards and AI-powered data products that drive self-service and storytelling at scale. This is not just reporting the news but shaping the story behind the data. Creating the narrative behind the numbers and enabling leaders to understand not just what is happening, but why it matters and what comes next. More than reporting—this role shapes the story behind the data, helping leaders see the meaning, the impact, and the path forward. The People Data Enablement team sits at the crossroads of people, operations, and tech—turning workforce data into strategy. We build predictive tools, AI-powered dashboards, and decision support that help Walmart hire, grow, and retain talent at scale. Our mission? Spot the signal before the noise—and give leaders the edge to act fast.

Requirements

• Technical Mastery 7+ years in data analytics, BI, or people analytics within large, complex environments
• Advanced proficiency in SQL and experience with cloud platforms (e.g., GCP, BigQuery), and BI tools such as Power BI or Tableau.
• Hands-on experience with automation and data processing tools (e.g., Alteryx, Dataiku, Python)
• Familiarity with integrating AI features into reporting workflows
• Proven ability to simplify complex analysis for senior audiences
• Strong visual storytelling skills—turning dashboards into persuasive narratives
• Demonstrated ability to synthesize data to identify implications, tradeoffs, and downstream impacts
• 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
• Experience navigating matrixed, enterprise-scale organizations
• Ability to influence without authority through clarity and evidence
• Comfortable setting standards and driving quality in ambiguous environments
• Option 1: 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.
• Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field.
• Option 3: 6 years' experience in data analysis, data science, statistics, or related field.
• 1 year's supervisory experience.

Nice To Haves

• 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)
• Data science, data analysis, statistics, or related field
• Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field
• Related industry experience (for example, retail, merchandising, healthcare, eCommerce)
• Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)
• Supervisory experience

Responsibilities

• Tell Stories That Influence: Transform data into clear, compelling narratives through visualization and storytelling, empowering users to understand and act with confidence.
• Lead Strategic Reporting & Dashboard Development: Design intuitive dashboards (Tableau, Power BI, GCP) that enable self-service, proactively surface insights, and embed trusted logic and context for clarity and consistency.
• Build Scalable & Reliable Data Foundations: Transform complex data into clean, automated pipelines and collaborate with engineers to deliver dynamic, AI-enhanced decision framing experiences.
• Drive Data Consistency & Alignment: Ensure data reliability by standardizing definitions across teams, resolving disconnects early, and championing governance practices.
• Integrate AI for Smarter Insights: Leverage AI to scale insights through features like natural language summaries and anomaly detection, while ensuring clarity, speed, and stakeholder trust.
• Lead Through Influence: Build trust and drive adoption by connecting across teams, aligning through clarity and storytelling, and influencing decisions without direct authority.

Benefits

• At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet.
• Health benefits include medical, vision and dental coverage.
• Financial benefits include 401(k), stock purchase and company-paid life insurance.
• Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
• You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
• Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
• Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates.
• Tuition, books, and fees are completely paid for by Walmart.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level