(USA) Senior Manager, Data Analytics
Walmart
Data Science
USD 90k-180k / year + Equity
Posted on Apr 8, 2026
Position Summary...
What you'll do...
Role summary:The Senior Manager, Data Analytics leads the development and execution of data-driven strategies to support business objectives. This role involves identifying appropriate data sources, ensuring data quality, and applying advanced analytical methods to translate complex business challenges into actionable insights. The position requires strong leadership in managing teams, fostering collaboration with stakeholders, and delivering compelling data visualizations that influence decision-making. The role also emphasizes continuous improvement, adherence to data governance standards, and driving innovation to enhance operational efficiency and business value across multiple functions.
About the team:
The Compensation Insights & Analytics team addresses complex Total Rewards challenges by streamlining processes and delivering scalable solutions that inform wage investment decisions. Leveraging AI and automation, the team enhances delivery speed and impact while reducing friction for associates and leaders. With strong expertise in analytics, stakeholder management, and collaboration, the team transforms varied datasets into actionable insights through an agile approach. Their commitment to sustainable design supports business objectives and drives continuous improvement, ensuring effective and efficient solutions across multiple segments and functions.
What you'll do:
- Identify and assess data sources aligned with business requirements and service level agreements to ensure data quality and relevance.
- Translate complex business problems into data-driven solutions using advanced analytics and automation techniques.
- Develop and implement data visualization strategies to communicate insights effectively to various stakeholders.
- Guide the design of user-centric applications integrating data insights for enhanced decision-making.
- Mentor team members on analytics methods, storytelling, and business context interpretation.
- Drive execution of analytics projects aligned with business objectives and operational needs.
- Develop AI-powered agents and solutions using tools like VS Code, to support Total Rewards partners.
What you'll bring:
- Extensive experience in data analytics, including BigQuery and NoSQL database technologies.
- Proven leadership skills with the ability to mentor and develop high-performing teams.
- Strong proficiency in data visualization tools such as Power BI, Tableau, and Python libraries.
- Expertise in data quality management, data governance, and enterprise data strategy.
- Ability to translate complex business problems into data-driven solutions using advanced analytics techniques.
- Excellent stakeholder management and communication skills to influence and drive business outcomes.
- Demonstrated project management capabilities with a focus on delivering measurable results.
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 experience

















