Senior, Data Analyst - Earnings Excellence Finance Group
About The Position
The Earnings Excellence Finance Data Analytics team serves as Operations analytics hub for Walmart’s EE Finance organization, driving data-informed decisions across the network. Our mission provide E2E visibility into Driver Earnings and Disbursements through actionable insights for Compliance and regulatory purposes. We focus on: Building dashboards and tools to monitor Driver Earnings KPIs and operational performance. Supporting Functional teams within finance and other groups through advanced analytics and optimization strategies. Providing ad-hoc analytics for leadership to enable quick, informed decision-making. Driving analytics for pilots and strategic initiatives, ensuring data-backed recommendations for future growth. As part of this team, the Senior Data Analyst will collaborate with cross-functional partners, leverage cutting-edge technologies, and apply advanced analytics to solve complex transportation challenges—ultimately improving efficiency, reducing costs, and enhancing operational excellence.
Requirements
- Expertise in SQL, Python, and data visualization tools (e.g., Tableau, PowerBI)
- Strong knowledge of data quality management, data governance, and database technologies
- Experience applying statistical techniques and exploratory data analysis
- Ability to translate business requirements into impactful data projects
- Proven track record of delivering insights in a fast-paced, cross-functional environment
- Understanding of Walmart LMD Operations
- Have worked on BQ datasets, Connect Upstream to Finance usecases using DCA & other Data assets
- Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 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.
- 4 years' experience in data analysis, data science, statistics, or related field.
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)
Responsibilities
- Discover, Extract and validate data from multiple sources; maintain scalable pipelines and architectures.
- Ensure data accuracy, integrity, and compliance with governance standards.
- Perform advanced analysis using SQL, Python, and statistical methods to uncover trends and opportunities.
- Build dashboards and translate complex data into actionable insights for efficiency and cost savings.
- Collaborate with cross-functional teams to define problems and align metrics.
- Communicate insights through clear storytelling and visualizations for diverse audiences.
- Lead root cause analysis and recommend process enhancements.
- Identify and implement data-driven opportunities for operational efficiency.
- Mentor teams on data-driven decision-making and process improvements.
- Ensure data quality and governance for analytics and model deployment (e.g., GCP BigQuery).
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
- Tuition, books, and fees are completely paid for by Walmart through the Live Better U program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
