Senior, Data Analyst
Position Summary...
What you'll do...
Role summary:As a Senior Data Analyst at Walmart, you will leverage advanced analytical techniques and data visualization tools to transform complex data into actionable business insights. This role requires deep understanding of data ecosystems, quality management, and business context across multiple domains. You will collaborate with stakeholders to identify data sources, ensure data integrity, and support strategic decision-making through clear, impactful communication. Your expertise will drive improvements in business performance by applying statistical analysis, exploratory data methods, and data governance principles, contributing to Walmart’s commitment to operational excellence and informed growth.
About the team:
TheEarnings 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.
What you'll do:
Data Management & Quality - Discover, Extract and validate data from multiple sources; maintain scalable pipelines and architectures. Ensure data accuracy, integrity, and compliance with governance standards.
Analytics & Insights - 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.
Business Partnership - Collaborate with cross-functional teams to define problems and align metrics. Communicate insights through clear storytelling and visualizations for audiences.
Optimization & Continuous Improvement - Lead root cause analysis and recommend process enhancements. Identify and implement data-driven opportunities for operational efficiency.
Leadership & Technical Expertise - Mentor teams on data-driven decision-making and process improvements. Ensure data quality and governance for analytics and model deployment (e.g., GCP BigQuery).
What you'll bring:
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
This is an onsite job based in Bentonville, AR
Work schedule: Monday to Friday 8 AM to 5 PM
At Walmart, we offer competitive pay as well as performance-based bonus 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, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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.
The annual salary range for this position is $80,000.00 - $155,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: 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. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
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)