Senior Manager, Data Analytics

Position Summary

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 big data technologies, advanced analytics, and data visualization to translate complex business challenges into actionable solutions. The position involves mentoring teams, ensuring data quality, and collaborating across functions to align analytics initiatives with organizational goals. The successful candidate will apply rigorous analytical methods and foster continuous improvement to support informed decision‑making and deliver measurable business value.

The Global Audit Data Analytics Team within Global Technology Audit collaborates with audit and business units to identify and mitigate risks through advanced data analytics and strategic insights. The team applies expertise in data strategy, statistical modeling, and visualization to enhance decision‑making and operational efficiency. Focused on data quality and innovative solutions, members support Walmart’s mission of delivering value by utilizing analytical tools and business intelligence to drive continuous improvement and operational excellence.

• Identify and assess appropriate data sources aligned with business requirements and service level agreements to ensure data fitness for purpose.
• Formulate technical solutions by translating business problems into data‑driven approaches using advanced analytics and automation techniques.
• Design and implement advanced data visualizations to communicate complex insights effectively, tailoring presentations to stakeholder needs.
• Develop and execute data strategies that maximize business value while ensuring compliance with data quality, governance, and security standards.
• Lead data quality management initiatives, including profiling, cleansing, and monitoring to maintain high data integrity.
• Mentor team members, fostering skill development and promoting continuous improvement in analytics practices.

• Extensive experience in data analytics, including big data technologies such as Apache Spark and No
  
  SQL databases.
• Proficiency in Python programming for data analysis, visualization, and automation.
• Strong understanding of data quality management, data governance, and enterprise data architecture principles.
• Ability to translate complex business problems into data‑driven solutions aligned with strategic objectives.
• Expertise in developing and implementing data strategies that unlock business value and support decision‑making.
• Skilled in advanced data visualization tools and techniques to communicate insights effectively.
• Proven leadership in mentoring teams and driving performance through coaching and development.

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.

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 (e.g., retail, merchandising, healthcare, eCommerce);
Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (e.g., SQL, Python, Spark, Scala, R, Power BI, Tableau);
Supervisory experience.

905 Customer Dr, Bentonville, AR 72716, United States of America.

Competitive salary range of $90,000 – $180,000 per year, with additional performance‑based bonuses and potential stock compensation. Benefits include medical, vision, and dental coverage; 401(k) with company match; paid time off (vacation, sick leave, holidays, parental leave, family care leave, bereavement, jury duty, voting); short‑term and long‑term disability; company‑paid life insurance; paid PTO/PPTO;
Military Leave Pay; adoption and surrogacy expense reimbursement; live‑better U education benefit program covering tuition and books for qualifying courses.