(USA) Senior Manager, Data Analytics

Walmart•Bentonville, AR

9d•$90,000 - $180,000

About The Position

The Senior Manager, Data Analytics at Walmart leads advanced data initiatives to generate strategic business insights and improve experiences across self-service voice and chat channels. The role combines data analysis and strategy, partnership with product and business teams, AI design experience, and the ability to translate complex data into actionable solutions. It involves collaborating across functions to identify data sources, ensure data integrity, and develop scalable analytics frameworks. The successful candidate mentors teams, influences stakeholders, and applies statistical and big data methodologies to support decision-making and improve business performance. The role is part of the Voice of the Customer Insights Team within Customer Engagement Services (CES), which connects customer experiences with the teams responsible for improving them. The team analyzes the end-to-end customer journey across Walmart’s eCommerce ecosystem, identifying friction points and evaluating resolution effectiveness across self-service and Customer Care channels. By integrating customer, operational, and behavioral data, it identifies trends, root causes, and improvement opportunities. Its mission is to turn customer insights into strategies that reduce friction, improve resolution and self-service, and influence processes to support lasting customer satisfaction, loyalty, and value.

Requirements

Extensive experience in data analytics, including advanced analytics, statistical analysis, and big data techniques.
Proficiency in SQL and knowledge of database technologies such as SQL and NoSQL systems.
Strong understanding of data quality management, data governance, and data strategy principles.
Expertise in data visualization tools, vibe coding tools, and techniques to communicate complex insights effectively.
Ability to translate business requirements into data-driven solutions and strategies.
Demonstrated leadership skills with experience mentoring and developing team members.
Strong problem-solving skills with a focus on scalable and high-quality data solutions.
Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or a related field and 4 years' experience in data analysis, data science, statistics, or a related field.
Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 2 years' experience in data analysis, data science, statistics, or a related field.
Option 3: 6 years' experience in data analysis, data science, statistics, or a related field.
1 year's supervisory experience.

Nice To Haves

Data science, data analysis, statistics, or a related field.
Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field.
Related industry experience, for example, retail, merchandising, healthcare, or 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

Lead data analytics initiatives by identifying appropriate data sources and ensuring data quality standards are met.
Translate complex business problems into data-driven solutions using advanced analytics and statistical methods.
Develop and implement data visualization strategies to communicate insights effectively to stakeholders.
Collaborate with cross-functional teams to design user-centric data applications and enhance user experience.
Drive data strategy alignment with business objectives, ensuring scalability and compliance with data governance policies.
Mentor and guide team members on analytics techniques, data quality management, and storytelling best practices.
Monitor and improve data quality metrics, addressing issues to maintain reliable data assets.

Benefits

Competitive pay and performance-based bonus awards.
Medical, vision, and dental coverage.
401(k), stock purchase, and company-paid life insurance.
Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
Short-term and long-term disability.
Company discounts.
Military Leave Pay.
Adoption and surrogacy expense reimbursement.
PTO and/or PPTO for vacation, sick leave, holidays, or other purposes.
Live Better U, a Walmart-paid education benefit program offering programs from high school completion to bachelor's degrees, English Language Learning, and short-form certificates, with tuition, books, and fees paid.