Senior, Data Analyst - Earnings Excellence Finance Group

Walmart•Bentonville, AR

1d•Onsite

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
Live Better U (Walmart-paid education benefit program for full-time and part-time associates)