Senior Analytics Leader: Advanced Data & Insights

Walmart Inc.; Bentonville (AR); Hybrid; USD 108,000 - 180,000; Full time

Job summary

Walmart Inc. in Bentonville, AR is seeking a Senior Manager of Advanced Analytics to lead end-to-end analytics projects, manage risk, and drive data-driven decision making.

You will collaborate with senior leadership to define objectives, develop and implement models, and deliver actionable insights. The role focuses on building scalable data models, prototyping production-ready algorithms, and guiding cross-functional teams including software engineering and category management.

Qualifications

• Master’s degree or the equivalent in Business, Finance, Accounting, Statistics or a related field plus 2 years of experience in data analytics or a related field; OR Bachelor’s degree or the equivalent in Business, Finance, Accounting, Statistics or a related field plus 4 years of experience in data analytics or a related field.
• Experience designing and implementing rule-based algorithms for deployment in batch or real-time APIs.
• Experience creating visual representations of data to tell a story using Tableau or PowerBI.
• Experience with PySpark, BigQuery and SQL for analytics and reporting.

Responsibilities

• Owns complex projects end-to-end for a business area, category or prototype.
• Develops data models and production-ready algorithms to drive business results.
• Leads advanced analytics to address unique business and technical problems.
• Consults with senior leadership to understand goals and translate them into analytics plans.

Tools

Rule-based algorithms

Tableau

PowerBI

PySpark

BigQuery

Statistics

CI/CD

Airflow

SQL

Python

Data modeling

Git

Job description

Walmart Inc. in Bentonville, AR is seeking a Senior Manager of Advanced Analytics to lead end-to-end analytics projects, manage risk, and drive data-driven decision making.

You will collaborate with senior leadership to define objectives, develop and implement models, and deliver actionable insights. The role focuses on building scalable data models, prototyping production-ready algorithms, and guiding cross-functional teams including software engineering and category management.