The Senior Manager, Data Analytics at Walmart leads the development and execution of advanced data strategies to support business objectives. This role requires expertise in data sourcing, quality management, and visualization to transform complex data into actionable insights. The position involves collaborating across functions to identify analytical solutions, guiding teams in applying statistical and big data techniques, and delivering clear, impactful presentations to influence decision-making. The role also emphasizes mentoring associates, driving continuous improvement, and ensuring alignment with organizational goals through effective data governance and strategic analytics leadership.
About the team:
The Data Analytics team drives the creation and delivery of advanced reporting and analytical solutions that support business objectives and compliance. Focused on data accuracy, governance, and quality, the team provides actionable insights through modeling and visualization. Collaborating with stakeholders, they align analytics strategies with operational goals to enable informed decisions. The team responsibly integrates modern AI tools to enhance efficiency and accelerate analytics processes. Supported by mentorship and best practices, members manage complex projects and continuously advance data-driven business performance in a dynamic environment.
What you'll do:
- Identify and evaluate data sources aligned with business requirements and service level agreements to ensure data fitness and quality.
- Develop and apply advanced analytics and automation techniques to translate business problems into data-driven solutions.
- Design and implement effective data visualizations using tools such as Tableau and Power BI to communicate complex insights clearly.
- Utilize Geospatial tools and strategies to develop maps integral to the business
- Lead data quality management initiatives, including profiling, cleansing, and monitoring to maintain high data standards.
- Collaborate with stakeholders to align data strategies with business objectives and regulatory policies.
- Drive continuous improvement by integrating emerging data technologies and fostering a data-centric culture.
What you'll bring:
- Extensive experience in data analytics, including big data technologies and advanced data visualization tools such as Tableau and Power BI.
- Strong knowledge of data quality management, governance, and data strategy principles to ensure accuracy and compliance.
- Proficiency in data modeling, dashboard creation, and exploratory data analysis using SQL, Python, or similar tools.
- Ability to translate complex business requirements into actionable data solutions and communicate insights effectively to stakeholders.
- Demonstrated leadership skills in managing teams, mentoring associates, and driving continuous improvement initiatives.
- Deep understanding of business domains and the capability to align data analytics with organizational objectives.
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 $90,000.00 - $180,000.00 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 4 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 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, or related field.1 year's 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, 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), Supervisory experiencePrimary Location...814 Respect Dr, Bentonville, AR 72716, United States of AmericaWalmart 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.Skills Required
- Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience OR Master's degree and 2 years' experience OR 6 years' experience in data analysis, data science, statistics, or related field.
- At least 1 year supervisory experience.
- Extensive experience in data analytics and big data technologies.
- Experience designing and implementing data visualizations using Tableau and Power BI.
- Proficiency in SQL and Python (or similar) for data modeling, dashboard creation, and exploratory analysis.
- Strong knowledge of data quality management, governance, and data strategy principles.
- Ability to translate complex business requirements into actionable data solutions and communicate insights to stakeholders.
- Demonstrated leadership in managing teams, mentoring associates, and driving continuous improvement initiatives.
- Experience using geospatial tools and developing maps for business use cases.
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
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Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.








