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 identifying data sources, ensuring data quality, and applying advanced analytical methods to solve complex business challenges. The position involves guiding data visualization efforts, mentoring team members, and collaborating across functions to translate business needs into actionable analytics solutions. The Senior Manager champions data governance and quality standards while fostering continuous improvement and innovation to support Walmart’s strategic objectives and deliver measurable value.
About the team:
The team leads capacity planning to support growth, speed, and cost objectives within fulfillment centers. Collaborating with senior leadership, they develop data-driven strategies and advanced models that guide key business decisions. The team manages complex analytics projects, works cross-functionally, and implements innovative solutions to improve processes. Focused on continuous learning and alignment with organizational goals, they leverage predictive analytics and business insights to drive operational excellence. Their efforts support Walmart’s mission to deliver value and efficiency across the enterprise, ensuring informed decision-making and enhanced performance throughout the organization.
What you'll do:
- Identify and evaluate data sources aligned with business requirements and service level agreements to ensure data fitness for purpose.
- Translate complex business problems into data-driven solutions using advanced analytics and automation techniques.
- Design and implement effective data visualizations and storytelling to communicate insights clearly to stakeholders.
- Develop and apply data quality management practices, including profiling, cleansing, and monitoring to maintain high data standards.
- Lead data strategy initiatives that optimize data value, accessibility, and compliance with governance policies.
- Mentor team members on analytics methods, data quality, and visualization best practices.
- Collaborate cross-functionally to align analytics efforts with business objectives and drive measurable outcomes.
What you'll bring:
- Extensive experience in data analytics, including big data techniques and automation methods.
- Proficiency in SQL, NoSQL, and data visualization tools such as Tableau, PowerBI, Python, and R.
- Strong understanding of data quality management, data governance, and enterprise data architecture.
- Ability to translate complex business problems into data-driven solutions and actionable insights.
- Expertise in statistical analysis, exploratory data analysis, and advanced data modeling.
- Proven leadership skills in mentoring and developing teams to achieve business objectives.
- Excellent communication and influencing skills to present data insights to stakeholders.
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...805 Respect, 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 a related field, plus 4 years of experience in data analysis, data science, statistics, or a related field
- Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 2 years of experience in data analysis, data science, statistics, or a related field
- 6 years of experience in data analysis, data science, statistics, or a related field
- 1 year of supervisory experience
- Experience in data science, data analysis, statistics, or a related field
- Master's degree in a related field
- Related industry experience, such as retail, merchandising, healthcare, or eCommerce
- Successful completion of assessments in data analysis and business intelligence tools and scripting languages
- Supervisory experience
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.







