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Position Summary...

What you'll do...

As a Senior Data Analyst on the Corporate Real Estate (CRE) Product & Technology team, you will transform complex data into actionable insights that improve how we manage our campuses, buildings, and workplace experience. You’ll work with large datasets to identify trends, monitor key performance indicators, and support strategic decisions that optimize space utilization and operational efficiency. Your analysis will help shape policies, improve processes, and deliver meaningful outcomes for Associates and leadership. The Corporate Real Estate Product & Technology team uses data to drive smarter decisions for Walmart’s real estate portfolio and workplace experience. We analyze building and occupancy data, develop dashboards, and provide insights that enhance efficiency and resource allocation. Our team values precision, collaboration, and innovation—working closely with partners across the organization to deliver solutions that improve operations and elevate the Associate experience. What You’ll Do

+ Collect, validate, and analyze data from multiple sources to support CRE initiatives.

+ Build and maintain dashboards and reports that track KPIs and highlight trends.

+ Translate business requirements into actionable analytics projects.

+ Perform statistical and exploratory analysis to uncover patterns and opportunities.

+ Collaborate with cross-functional teams to provide data-driven recommendations.

+ Ensure data integrity and adherence to governance and quality standards.

+ Communicate insights clearly to stakeholders through visualizations and presentations.

+ Support continuous improvement by identifying process gaps and recommending solutions.

+ Leverage AI and machine learning techniques to enhance predictive analytics and deliver advanced insights where applicable.

What You’ll Bring

+ Bachelor’s degree in Statistics, Analytics, Mathematics, Computer Science, Information Technology, or related field (Master’s preferred).

+ 3+ years of experience in data analytics, reporting, or business intelligence.

+ Strong proficiency in SQL and experience with data visualization tools (Tableau, Power BI).

+ Hands-on experience with Python or similar tools for advanced analytics.

+ Ability to interpret complex data and communicate insights effectively to non-technical audiences.

+ Knowledge of data governance, quality standards, and best practices.

+ Familiarity with Corporate Real Estate data (space management, occupancy, building systems) is a plus.

+ Strong problem-solving skills and ability to work collaboratively in a fast-paced environment.

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 (https://one.walmart.com/) .

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)

Primary Location...

806 Excellence Dr, 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.

Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.