(USA) Senior Manager, Data Analytics

Walmart • Bentonville, AR

12h • Onsite

About The Position

The Senior Manager, Data Analytics – Site Discovery executes the analytics vision and performance tracking across our AI Commerce (including Sparky), Search, and Personalization pillars. Working alongside team leadership and cross-functional partners, this role converts complex user behavior data into actionable insights, strategic inputs, and feature evaluations. The Site Discovery Analytics & Strategy team drives the strategic vision and data-driven execution across AI-Driven Commerce, Search, and Personalization. Acting as the organization’s strategic engine, the team collaborates with executive leadership to define product roadmaps, author impactful strategic documents, and monitor customer adoption. It leads operational governance through Weekly Business Reviews and delivers in-depth exploratory analytics to accelerate business growth. The team leverages expertise in Python, SQL, data analysis, and business metrics to transform complex data into actionable insights that support informed decision-making and continuous improvement across digital initiatives.

Requirements

• Extensive experience in data analytics, including proficiency with Python and SQL for data extraction and analysis.
• Strong knowledge of data quality management, data governance, and enterprise data architecture principles.
• Ability to translate complex business problems into data-driven solutions using advanced analytical and visualization tools.
• Expertise in designing and delivering compelling data visualizations with tools such as Matplotlib, Plotly, Tableau, or PowerBI.
• Proven leadership skills in mentoring and developing analytics teams to achieve strategic business objectives.
• Deep understanding of business metrics, data strategy, and cross-functional collaboration to drive actionable insights.
• Ability to translate analytical findings into well articulated presentations and detailed whitepapers
• 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.
• 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.
• 6 years' experience in data analysis, data science, statistics, or related field.
• 1 year's supervisory experience.

Nice To Haves

• 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

• Analyze and validate interaction data across Search, Personalization, and AI Commerce
• Apply statistical methods to optimize search relevance, discovery friction, and conversational AI adoption.
• Lead analytical support for WBRs/MBRs, tracking KPI health and feature performance.
• Partner with Product and Engineering to translate insights into actionable roadmap priorities.
• Synthesize quantitative analyses into inputs for executive whitepapers and briefs.
• Guide junior analysts on storytelling and analytical rigor while maintaining compliance standards.

Benefits

• Competitive pay
• Performance-based bonus awards
• Medical coverage
• Vision coverage
• Dental coverage
• 401(k)
• Stock purchase
• Company-paid life insurance
• PTO (including sick leave)
• Parental leave
• Family care leave
• Bereavement
• Jury duty
• Voting leave
• Short-term disability
• Long-term disability
• Company discounts
• Military Leave Pay
• Adoption and surrogacy expense reimbursement
• PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes
• Walmart-paid education benefit program (Live Better U) for full-time and part-time associates

What This Job Offers

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