The Role
Analyzes merchandising lifecycle data across planning, purchasing, inventory, fulfillment, and stores. Develops trusted metrics and data assets, applies exploratory analysis, statistical methods, forecasting, and root-cause analysis, and translates findings into visualizations and recommendations. Independently owns analytical projects from problem definition through delivery while partnering with Merchandising, Product, Engineering, and Data teams to build scalable solutions.
Summary Generated by Built In
Position Summary...What you'll do...Role summary:
The Senior Data Analyst, Advanced Analytics develops analytical solutions that connect data and business signals across the merchandising lifecycle. The role helps identify how decisions and execution across planning, purchase orders, inventory, fulfillment, and stores influence business performance. This position translates complex business questions into structured analyses, metrics, and insights, investigates drivers and dependencies across processes, and independently delivers scalable analytical solutions in partnership with business and technical teams.
About the team:
Merch Decision Sciences’ Platforms and Experiences team develops foundations and experiences that help Merchandising make high-quality, scalable decisions. We work across the decision lifecycle: digitizing how Merchandising operates in data, developing analytical constructs and mechanisms to understand business performance, bringing external market intelligence into merchant workflows, applying science, developing agents for insights and automation, and building merchant-facing experiences that translate capabilities into action. Our multidisciplinary team brings together data product management, data engineering, analytics, data science, and agent development around business problems. We also steward the data and analytical foundations that power merchandising platforms and decision-making experiences across Walmart.
What you'll do:
What you'll bring:
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 $80,000.00 - $155,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
The Senior Data Analyst, Advanced Analytics develops analytical solutions that connect data and business signals across the merchandising lifecycle. The role helps identify how decisions and execution across planning, purchase orders, inventory, fulfillment, and stores influence business performance. This position translates complex business questions into structured analyses, metrics, and insights, investigates drivers and dependencies across processes, and independently delivers scalable analytical solutions in partnership with business and technical teams.
About the team:
Merch Decision Sciences’ Platforms and Experiences team develops foundations and experiences that help Merchandising make high-quality, scalable decisions. We work across the decision lifecycle: digitizing how Merchandising operates in data, developing analytical constructs and mechanisms to understand business performance, bringing external market intelligence into merchant workflows, applying science, developing agents for insights and automation, and building merchant-facing experiences that translate capabilities into action. Our multidisciplinary team brings together data product management, data engineering, analytics, data science, and agent development around business problems. We also steward the data and analytical foundations that power merchandising platforms and decision-making experiences across Walmart.
What you'll do:
- Analyze data across planning, assortment, purchase order execution, inventory flow, fulfillment, and store execution to connect upstream decisions with downstream outcomes and identify performance drivers and opportunities.
- Develop trusted metrics and data assets by reconciling sources, validating business logic, and improving data quality.
- Apply exploratory analysis, statistical methods, and forecasting to complex merchandising questions.
- Translate findings into clear visualizations and recommendations for Merchandising and partner teams.
- Independently own analytical work from problem definition through delivery, partnering with Merchandising, Product, Engineering, and Data teams to develop and implement scalable solutions.
What you'll bring:
- Strong SQL skills and proficiency in Python or R for working with large, complex datasets and developing analytical solutions.
- Experience with exploratory analysis, statistical methods, forecasting, and root-cause analysis to identify trends and business drivers.
- Strong understanding of data quality, profiling, validation, and metric development to build trusted analytical assets.
- Ability to translate complex business requirements into structured analytical approaches and actionable insights.
- Strong communication and data storytelling skills with the ability to influence business and technical stakeholders.
- Experience in merchandising, retail, inventory, or supply chain analytics is preferred.
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 $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)Masters: Business Administration, Masters: Information Systems, Masters: StatisticsPrimary Location...601 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 a related field, plus 2 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, or Information Technology
- Four years of experience in data analysis, data science, statistics, or a related field
- Strong SQL skills and proficiency in Python or R
- Experience with exploratory analysis, statistical methods, forecasting, and root-cause analysis
- Experience with data quality, profiling, validation, and metric development
- Ability to translate complex business requirements into analytical approaches and actionable insights
- Strong communication and data storytelling skills
- Experience in merchandising, retail, inventory, or supply chain analytics
- Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, or Information Technology
- Experience with Spark, Scala, Power BI, or Tableau
- Master of Business Administration or Master's in Information Systems or Statistics
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
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The Company
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.
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