Senior Manager, Data Analytics

Walmart•Bentonville, AR
•$90,000 - $180,000•Onsite

About The Position

The Senior Manager, Data Analytics leads the development and execution of data-driven strategies that support business objectives across multiple domains. The role applies expertise in data sourcing, data quality management, advanced analytics, and visualization to turn complex data into actionable insights. It guides teams, collaborates with stakeholders, and drives continuous improvement in data governance and analytics processes. The successful candidate uses business understanding and technical proficiency to influence decisions, optimize performance, and deliver measurable value aligned with organizational goals. The team tackles challenges for key business stakeholders by developing scalable solutions and enabling new capabilities. It applies analytics, data governance, process improvement, and advanced analysis and visualization to support strategic goals and deliver insights. Collaboration and thought leadership help advance data quality, business outcomes, and Walmart’s data strategy across multiple business domains. The position is based at 601 Respect Dr, Bentonville, Arkansas. The annual salary range is $90,000 to $180,000, with additional annual or quarterly performance bonuses and, for certain positions, stock.

Requirements

  • Extensive experience in data analytics, including big data techniques and automation methods.
  • Strong knowledge of data governance, quality management, and enterprise data architecture principles.
  • Proficiency in data visualization tools, including Python libraries, Tableau, and Power BI.
  • Ability to translate complex business problems into data-driven solutions aligned with strategic objectives.
  • Expertise in exploratory data analysis using SQL, Python, and statistical techniques.
  • Proven leadership skills in mentoring teams and driving continuous process improvements.
  • Excellent communication skills to influence stakeholders and present data insights effectively.
  • Bachelor's degree in a listed or related field and 4 years of experience in data analysis, data science, statistics, or a related field; or a master's degree in a listed or related field and 2 years of relevant experience; or 6 years of relevant experience.
  • At least 1 year of supervisory experience.

Nice To Haves

  • Experience in data science, data analysis, statistics, or a related field.
  • Master’s degree in a listed or related field.
  • Related industry experience, such as retail, merchandising, healthcare, or eCommerce.
  • Successful completion of assessments in data analysis and business intelligence tools and scripting languages such as SQL, Python, Spark, Scala, R, Power BI, or Tableau.
  • Supervisory experience.

Responsibilities

  • Identify and evaluate data sources aligned with business requirements and service level agreements to ensure data quality and relevance.
  • Translate complex business problems into data-driven solutions using advanced analytics and automation techniques.
  • Develop and implement data visualization strategies to communicate insights to stakeholders and influence decision-making.
  • Lead data quality management initiatives, including profiling, cleansing, and monitoring.
  • Define and execute data strategies that support business objectives and regulatory compliance.
  • Mentor team members on analytics methodologies, data governance, and storytelling techniques.
  • Collaborate cross-functionally to align analytics efforts with organizational goals and drive continuous improvement.

Benefits

  • Competitive pay and performance-based bonus awards.
  • Medical, vision, and dental coverage.
  • 401(k), stock purchase, and company-paid life insurance.
  • Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
  • Short-term and long-term disability.
  • Company discounts.
  • Military Leave Pay.
  • Adoption and surrogacy expense reimbursement.
  • Live Better U: Walmart-paid education benefits for eligible full-time and part-time associates, including tuition, books, and fees for programs ranging from high school completion to bachelor's degrees, English Language Learning, and short-form certificates.
  • PTO and/or PPTO that may be used for vacation, sick leave, holidays, or other purposes.
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