(usa) Senior Manager, Data Analytics

Walmart Walmart · Retail · Bentonville, AR

Leads the development and execution of data strategies to support business objectives through advanced analytics and data-driven insights. Oversees data quality management, identifies optimal data sources, and applies statistical and visualization techniques to translate complex data into actionable business solutions. Collaborates across functions to align analytics initiatives with organizational goals, mentors team members, and promotes continuous improvement. Ensures compliance with data governance standards while driving innovation to enhance decision-making and operational efficiency.

What you'd actually do

  1. Identify and assess data sources aligned with business requirements and quality standards to support analytics initiatives.
  2. Develop and implement data strategies that enhance data quality, accessibility, and governance across multiple domains.
  3. Translate complex business problems into data-driven solutions using advanced analytics and statistical techniques.
  4. Design and deliver compelling data visualizations and narratives to influence stakeholders and drive informed decision-making.
  5. Lead and mentor analytics teams, fostering continuous improvement and adoption of best practices in data management.
  6. Collaborate cross-functionally to align analytics efforts with organizational goals and operational priorities.

Skills

Required

  • Extensive experience in data analytics, including big data analytics and statistical techniques.
  • Proficiency with data visualization tools such as Power BI, Tableau, and Python libraries.
  • Strong knowledge of data quality management, data profiling, cleansing, and governance standards.
  • Ability to translate complex business problems into data-driven solutions aligned with strategic objectives.
  • Expertise in data architecture, data strategy, and business intelligence tools to support decision-making.
  • Demonstrated leadership in mentoring teams and driving process improvements.
  • Excellent communication skills to present insights and influence stakeholders effectively.
  • 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 have

  • 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 d