(USA) Senior Manager, Data Analytics

Walmart • Bentonville, AR

4d • Onsite

About The Position

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 big data, data quality, visualization, and analytics techniques to transform complex data into actionable insights. The position involves collaborating across functions to identify data sources, ensure data integrity, and deliver compelling visual narratives that influence decision-making. The successful candidate will mentor team members, drive continuous improvement, and apply innovative solutions to enhance operational performance and support strategic initiatives within a dynamic business environment.

The Data Analytics team delivers advanced reporting and analytical solutions that support business goals and compliance. Emphasizing data accuracy, governance, and quality, the team provides actionable insights through modeling and visualization. Collaborating with stakeholders, they align analytics strategies with operational priorities to enable informed decisions. The team responsibly integrates modern AI tools to enhance efficiency and accelerate processes. Supported by mentorship and best practices, members manage complex projects and continuously advance data-driven business performance in a dynamic environment.

Requirements

• 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.
• 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.
• 1 year's supervisory experience.

Nice To Haves

• 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

Responsibilities

• 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.

Benefits

• Competitive pay
• Performance-based bonus awards
• Medical coverage
• Vision coverage
• Dental coverage
• 401(k)
• Stock purchase
• Company-paid life insurance
• PTO (including sick leave)
• Parental leave
• Family care leave
• Bereavement leave
• Jury duty leave
• Voting leave
• Short-term disability
• Long-term disability
• Company discounts
• Military Leave Pay
• Adoption expense reimbursement
• Surrogacy expense reimbursement
• PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes
• Live Better U education benefit program (for full-time and part-time associates)
• Tuition, books, and fees are completely paid for by Walmart (through Live Better U)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior