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Walmart

Director, Data Analytics

Bentonville, AR, United States

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Job details

Experience: Option 3: 7 years' experience in data analysis, data science, statistics, or related field. 2 years' supervisory experience.
Posting language: English
Posted: Nov 10, 2026

Original job description

Position Summary...

Lead the analytics practice that changes how Walmart’s audit teams work. As Director, Data Analytics, you’ll turn data, automation and emerging technology into products that sharpen audit coverage, surface risk sooner and deliver results the business can measure. You’ll partner with audit teams across the organization to spark new ways of working, share what you learn and scale what works, all while leading a team in a space that never stands still. It’s an opportunity to pair deep analytical expertise with a product mindset and inspirational leadership at Walmart’s scale.

About the Team:

We’re an innovation-minded analytics team working alongside audit teams, business partners and technology functions. We treat analytics as products: we find the right problems, ship solutions people actually use, and measure the difference they make. We share what we build and what we learn, from reusable methods to new tools, so every audit team can move faster and see further. Our work supports trusted, accessible and responsible use of data, and we adapt quickly as risks, technology and priorities change.

What you'll do...

Drive innovation in how audit works: Spot opportunities to apply analytics, automation and emerging technology to audit planning, risk assessment, testing and reporting. Question long-standing assumptions, prototype quickly and turn the best ideas into solutions with clear success criteria, metrics and measurable return on investment.
Engage audit teams and drive change: Partner with audit teams across the organization to understand how they work, co-design solutions that fit and lead the adoption that makes change stick. Influence stakeholders at every level and turn early wins into new ways of working.
Share knowledge and raise the bar: Introduce new tools, methods and ideas to audit teams, and share what you learn through playbooks, demos, communities of practice and mentoring. Make good analytical practice easy for others to adopt, adapt and build on.
Run analytics like a product: Own a roadmap that connects audit priorities to analytics and technology delivery. Define the customer, the problem and the outcome; prioritize ruthlessly; assess costs and resource needs; deliver in increments; and report on adoption, quality, time saved and risk insight gained.
Drive technology governance and enterprise compliance: Ensure analytics products, AI solutions, and automation initiatives align with Walmart’s enterprise technology, security, and governance requirements. Lead and coordinate internal review and approval processes, including Solution Security Plan (SSP), Enterprise Privacy Risk Assessment (EPRA) and other applicable reviews for deployed solutions. Partner with Information Security, Privacy, Compliance, and Technology teams to identify risks, address requirements, and obtain necessary approvals before deployment, ensuring solutions are secure, compliant, and scalable.
Find the signal and tell the story: Identify fit-for-purpose data across existing systems and distributed data stores, perform data quality checks, and use exploratory analysis, statistical methods and models to test hypotheses and surface insight. Select the right visualization tools and build clear, compelling stories for analysts, audit leaders and executives, partnering with user experience designers and engineers when front-end applications are needed.
Advance data strategy, quality and responsible use: Apply and influence data strategy across audit and business domains. Define data quality rules, metrics and service-level strategies, recommend improvements to data governance policies and practices, manage user access as needed, and support requirements for data privacy, security, storage, retention and documentation.
Lead with energy and develop people: Recruit, develop and mentor talent, identify capability gaps and support succession planning and continuous learning. Build a curious, motivated team that is comfortable with change, and foster an environment grounded in Walmart’s standards of integrity and ethics, including the Open Door Policy.

What You’ll Bring:

Proven experience leading innovation and turning ideas into delivered solutions, with a strong product mindset and a record of defining success measures and reporting measurable impact and business value.
A strong analytical background, with experience in exploratory data analysis and statistical methods such as hypothesis testing, confidence intervals, correlation and statistical modeling, using tools or languages such as SQL, Python, SAS, Oracle, Apache Mahout or Excel.
Experience identifying and working with data across business systems and distributed data stores, including SQL and NoSQL technologies, with an understanding of data modeling, integration, storage and warehousing.
Experience creating visualizations and communicating insights using tools such as Tableau, Power BI, Python or R, including libraries such as Matplotlib, Plotly or ggplot, and telling a compelling story to audiences from analysts to executives.
An inspirational, energizing leader with experience leading initiatives and developing others, including engaging peers and stakeholders across teams, driving change and sharing knowledge through mentoring, coaching and teaching.
Comfort in a dynamic, changing space: the ability to adapt as priorities, technology and risks shift, challenge assumptions constructively and keep teams focused on delivery.
Knowledge of data management and governance, including data quality frameworks, profiling and cleansing tools, access practices, and privacy, security and retention requirements, plus knowledge of business practices and metrics across functions such as product, finance, technology, business systems or audit.

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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 5 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 and 3 years' experience in data analysis, data science, statistics, or related field. Option 3: 7 years' experience in data analysis, data science, statistics, or related field. 2 years' supervisory experience.

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, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, 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), Supervisory experience

Primary Location...

905 Customer 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.

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More about this job

Skills

Data analysis
Lead a team
Work as a team
Coaching
Regulatory compliance
Statistical quality control
Reporting
SQL
Python
SAS
Oracle
Apache Mahout
Microsoft Excel
NoSQL
Data modelling
Warehouse operations
Tableau
Microsoft Power BI
R
Teaching
Statistics
Computer science
Computer technology
Machine learning
Research
Merchandising
Business intelligence
Apache Spark
Scala

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