The Senior Manager, Data Analytics leads the development and execution of data strategies that drive business insights and operational excellence. This role requires expertise in data architecture, quality management, and advanced analytics to translate complex business challenges into actionable solutions. The position involves guiding cross-functional teams in data visualization, exploratory analysis, and data governance while fostering collaboration to enhance decision-making. The successful candidate will ensure data integrity, align analytics initiatives with organizational goals, and mentor associates to elevate analytical capabilities across the enterprise.
About the team:
The team supports Walmart Real Estate by enabling timely, data-driven decisions through advanced analytics and comprehensive data strategies. Experts in data quality, visualization, and business intelligence collaborate across departments to identify key data sources, maintain data integrity, and translate business needs into actionable insights. Utilizing statistical analysis and big data techniques, they address complex challenges with innovative tools and methods. Committed to continuous improvement and effective communication, the team guides stakeholders to achieve measurable business outcomes aligned with Walmart’s strategic objectives.
What you'll do:
- Identify and evaluate data sources aligned with business requirements and service level agreements to ensure data fitness and quality.
- Translate complex business problems into data-driven solutions using advanced analytics and automation techniques.
- Design and implement effective data visualizations to communicate insights clearly to stakeholders and influence decision-making.
- Develop and apply data strategies that optimize data management, quality, accessibility, and governance across multiple domains.
- Lead exploratory data analysis and statistical modeling to uncover trends, patterns, and actionable insights.
- Mentor team members, promote best practices, and drive continuous improvement in analytics capabilities.
What you'll bring:
- Extensive experience in data analytics, including data architecture, engineering, and quality management.
- Proficiency with database technologies such as SQL and NoSQL, and knowledge of distributed data stores.
- Strong expertise in advanced data visualization tools and techniques, including Python, R, Tableau, and PowerBI.
- Ability to translate complex business problems into data-driven solutions using statistical and analytical methods.
- Demonstrated leadership in managing teams, mentoring associates, and driving business-aligned data strategies.
- Deep understanding of data governance, quality frameworks, and regulatory compliance related to data privacy and security.
- Excellent communication skills to present insights and influence stakeholders effectively.
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 in data analysis, data science, statistics, or related field.
- 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.
- 6 years' experience in data analysis, data science, statistics, or related field (alternative to degree-based options).
- 1 year supervisory experience.
- Experience in data architecture, engineering, and quality management.
- Proficiency with database technologies such as SQL and NoSQL and knowledge of distributed data stores.
- Expertise with Python, R, Tableau, and Power BI for advanced analytics and visualization.
- Deep understanding of data governance, quality frameworks, and regulatory compliance related to data privacy and security.
- Excellent communication skills to present insights and influence stakeholders effectively.
- Related industry experience (retail, merchandising, healthcare, eCommerce).
- Experience with Spark or Scala and completion of assessments in BI tools or scripting languages.
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.
Walmart Global Tech Insights
What We Do
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.








