(USA) Senior Analyst, Advanced Analytics

Wal-Mart Stores Texas, LL•San Bruno, CA

About The Position

The Senior Analyst, Advanced Analytics supports business objectives through data-driven insights and modeling. The role collaborates across teams to analyze data, identify trends, and develop predictive models that inform strategic decisions. It owns components of small projects, mentors colleagues, and presents clear findings to business leaders. The successful candidate applies advanced analytical techniques and business intelligence tools to solve complex problems, drive continuous improvement, and support operational excellence and customer value. The position is part of the Media Insights team, which provides actionable insights to optimize investments with Walmart Connect. The team analyzes media performance to help agencies, technology partners, and advertisers improve strategies and drive growth. It uses data analysis, statistical methods, and predictive modeling to translate complex data into market-facing insights, while collaborating across functions to support data quality and effective model deployment. The role is available in Hoboken, New Jersey, and San Bruno, California. The annual salary range is $84,000–$156,000 in Hoboken and $91,000–$169,000 in San Bruno. Additional compensation includes annual or quarterly performance bonuses; stock may also be included for certain positions.

Requirements

  • Expertise in advanced analytics, including data analysis, predictive modeling, and statistical modeling.
  • Proficiency in SQL and Python to manipulate and analyze complex datasets.
  • Experience with machine learning techniques and business intelligence tools to support data-driven decision-making.
  • Ability to develop and deploy analytical models, identify trends, and deliver actionable insights.
  • Ability to collaborate across teams and communicate strategic recommendations effectively.
  • Commitment to continuous improvement, coaching peers, and applying analytics best practices.
  • Bachelor’s degree in Business, Finance, Accounting, Statistics, or a related field, or 2 years of experience in data analytics or a related field.

Nice To Haves

  • Experience with analytics in retail operations.
  • Knowledge of retail math, such as calculating margin, inventory turn, and average price.

Responsibilities

  • Collaborate with cross-functional teams to support business objectives through advanced data analysis and modeling.
  • Own components of small projects and deliver end-to-end solutions that address business needs.
  • Develop predictive and statistical models to identify trends and inform strategic recommendations.
  • Prepare and present data-driven insights and executive summaries to business management.
  • Support deployment and testing of analytical prototypes and proofs of concept.
  • Mentor and coach less experienced associates to enhance team capabilities.
  • Identify and extract relevant datasets to solve straightforward business problems.

Benefits

  • Medical, vision, and dental coverage.
  • 401(k).
  • Stock purchase plan.
  • Company-paid life insurance.
  • Paid time off, including sick leave.
  • Parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
  • Short-term and long-term disability.
  • Company discounts.
  • Military Leave Pay.
  • Adoption and surrogacy expense reimbursement.
  • Live Better U education benefit, with tuition, books, and fees paid for eligible programs.
  • Annual or quarterly performance bonuses.
  • Stock compensation may be included for certain positions.
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