Senior, Data Analyst - eDiscovery Operations

Position Summary...

This is an exciting opportunity to join the eDiscovery Operations Data team at the world's largest retailer. As a Senior Data Analyst, you will play a critical role in enabling trusted, timely, and defensible access to enterprise data by working across systems, datasets, and stakeholders to support both ad hoc and repeatable business needs. This Senior Data Analyst role will work closely with business partners, engineers, and platform teams to understand how data is created and used, determine the right sources for analysis, and deliver meaningful insights through well-structured datasets and visualizations.

About the team:

The eDiscovery Operations Data team enhances data access and understanding to support eDiscovery and legal partners. The team focuses on identifying relevant data sources, ensuring data quality, and applying advanced analytics to deliver actionable insights. Collaborating across functions, the team leverages business intelligence tools and data visualization techniques to improve processes and decision-making. Members contribute to data strategy, exploratory analysis, and reporting, driving continuous improvement. This team values integrity, clear communication, and a commitment to delivering reliable data solutions that align with business goals and support effective legal operations.

What you'll do...

• Lead data and system discovery to identify relevant systems and datasets; determine appropriate access patterns for business and legal use cases
• Partner with business and technical teams to understand how systems and data are used, answering questions about structure, availability, quality, and extraction approaches
• Design, develop, and maintain data extractions supporting application development, including adhoc and standardized reporting
• Analyze and validate data at point of use, assessing quality, surfacing limitations or risks, and ensuring outputs are suitable for decision‑making and defensibility
• Deliver insights through analysis and visualization, documenting sources, assumptions, and methods to ensure clarity, repeatability, and trust in results

What you'll bring…

• Extensive experience in data analysis, data cleansing, and ad hoc reporting to support business decision-making.
• Proficiency with business intelligence tools and big data analytics to extract actionable insights.
• Strong knowledge of data quality management, including profiling, cleansing, and monitoring data accuracy.
• Ability to identify and source appropriate data from multiple databases and distributed data stores.
• Expertise in data visualization techniques and tools such as Tableau, PowerBI, or Python libraries.
• Understanding of business domains and metrics to translate requirements into effective data solutions.
• Experience applying data governance, data strategy, and data quality standards in complex environments.

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

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)

Primary Location...

811 Excellence, Bentonville, AR 72716, United States of America

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. This is an exciting opportunity to join the eDiscovery Operations Data team at the world's largest retailer. As a Senior Data Analyst, you will play a critical role in enabling trusted, timely, and defensible access to enterprise data by working across systems, datasets, and stakeholders to support both ad hoc and repeatable business needs. This Senior Data Analyst role will work closely with business partners, engineers, and platform teams to understand how data is created and used, determine the right sources for analysis, and deliver meaningful insights through well-structured datasets and visualizations. About the team: The eDiscovery Operations Data team enhances data access and understanding to support eDiscovery and legal partners. The team focuses on identifying relevant data sources, ensuring data quality, and applying advanced analytics to deliver actionable insights. Collaborating across functions, the team leverages business intelligence tools and data visualization techniques to improve processes and decision-making. Members contribute to data strategy, exploratory analysis, and reporting, driving continuous improvement. This team values integrity, clear communication, and a commitment to delivering reliable data solutions that align with business goals and support effective legal operations.