Job Description

What you'll do...

Position: Manager, Advanced Analytics

Job Location: 850 Cherry Avenue, San Bruno, CA 94066

Duties: Owns workstreams and individual analytics related projects end-to-end for a business area, category, or prototype. Help with risk associated with implementation. Coordinates, completes, and oversees job-related activities and assignments by developing and maintaining relationships with key stakeholders; supporting plans and initiatives to meet customer and business needs; identifying and communicating goals and objectives; building accountability for and measuring progress in achieving results; identifying and addressing improvement opportunities; and demonstrating adaptability and promoting continuous learning. Works with leadership/business partners to discuss and understand goals/functional objectives and key business challenges to develop hypotheses around current and future business issues; identifies functional analytics and research objectives and develops tactical research plans. Advises on next steps based on objective insights and research. Presents actionable recommendations to Directors to inform strategic and tactical functional initiatives. Provides and supports the implementation of business solutions by building relationships and partnerships with leadership and other key stakeholders.

Minimum education and experience required: Master’s degree or the equivalent in Business, Finance, Accounting, Statistics, Data Science, Engineering (any), or related field; OR Bachelor’s degree or the equivalent in Business, Finance, Accounting, Statistics, Data Science, Engineering (any), or related field and 2 years of experience in data analytics or related field.

Skills required: Experience designing and automating dashboards for metrics, supporting critical strategy and decision-making using data ecosystems within Tableau, Power BI and Google Big Query. Experience integrating production databases and performing data analysis using SQL scripting and Microsoft Excel. Experience with data mining and integration using analytics platforms such as Dataiku, Knime and Python. Experience with statistical programming and analysis in R. Experience performing regression-based analysis, simulation modeling, multivariate analysis and time series forecasting. Experience building optimization models and scenario analysis using linear programming techniques for supply chain network planning. Experience generating, reviewing, and presenting reports to stakeholders using Tableau’s architecture and production ecosystems to report on the health of a supply chain network. Experience building and scaling data pipelines from production databases using SQL, GitHub and Python. Experience optimizing queries in SQL and automating processes using Python scripting. Employer will accept any amount of experience with the required skills.

Salary Range: $112,228/year to $202,000/year. Additional compensation includes annual or quarterly performance incentives.

Benefits: At Walmart, we offer competitive pay as well as performance-based incentive 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, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com.

Wal-Mart is an Equal Opportunity Employer.

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Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.