Position: Manager, Advanced Analytics
Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089
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, or related field; OR Bachelor’s degree or the equivalent in Business, Finance, Accounting, Statistics, Data Science, or related field and 2 years of experience in data analytics or related field.
Skills required: Experience writing complex SQL queries using joins, subqueries, window functions, and performance optimization techniques. Experience developing data analysis and automation workflows using Python libraries such as pandas, NumPy, and matplotlib. Experience with creating clear and impactful data visualizations and dashboards to communicate insights to stakeholders. Experience designing, executing, and analyzing A/B experiments to evaluate product and feature performance. Experience implementing and analyzing clickstream event tracking to measure user behavior and product engagement. Experience applying statistical methods and hypothesis testing to analyze data and support data-driven decisions. Experience defining, tracking, and monitoring product KPIs aligned with business and customer objectives. Experience performing funnel analysis to identify drop-offs, conversion opportunities, and user behavior patterns. Experience analyzing retail and ecommerce data to evaluate customer behavior, sales performance, and conversion metrics. Experience applying AI-driven solutions to automate processes, optimize workflows, and improve operational efficiency and business outcomes. Experience building, training, and evaluating machine learning models using statistical and data science techniques to extract insights, make predictions, and support decision-making. Employer will accept any amount of experience with the required skills.
Salary Range: $168,917/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.
#LI-DNI #LI-DNP
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.Skills Required
- Master's degree or equivalent in Business, Finance, Accounting, Statistics, Data Science, or a related field
- Alternatively, bachelor's degree or equivalent in Business, Finance, Accounting, Statistics, Data Science, or a related field plus two years of data analytics or related experience
- Experience writing complex SQL queries using joins, subqueries, window functions, and performance optimization techniques
- Experience developing data analysis and automation workflows with Python, pandas, NumPy, and Matplotlib
- Experience creating data visualizations and dashboards
- Experience designing, executing, and analyzing A/B experiments
- Experience implementing and analyzing clickstream event tracking
- Experience applying statistical methods and hypothesis testing
- Experience defining, tracking, and monitoring product KPIs
- Experience performing funnel analysis
- Experience analyzing retail and ecommerce data
- Experience applying AI-driven solutions to automate processes and optimize workflows
- Experience building, training, and evaluating machine learning models
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
-
Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
-
Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
-
Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.
