Director, Advanced Analytics

Walmart

Quick summary

Work type: On-site
Location: Bentonville, AR
Salary: $110,000–$220,000 / yr
Posted: 8 days ago
Nearby: 98 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $201k

This role $165k

$94k most similar roles pay here $261k

This role pays less than 70% of similar roles. Most pay $156,620–$245,000 — the shaded band above. At the midpoint, this role pays about $165k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 190 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 182 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Director, Advanced Analytics

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As a Senior Data Scientist in Walmart's Retail Analytics team, you will lead advanced analytics strategies for inventory placement, allocation, and replenishment across an extensive omnichannel retail network. Your daily tasks include driving data-informed decisions to enhance in-stock rates, reduce markdown risk, and optimize working capital. You will oversee the development of predictive models and machine learning algorithms, direct end-to-end analytics projects, and guide cross-functional teams to implement production-ready solutions. Essential skills include deep expertise in retail or supply chain environments, proficiency with SQL, Python, R, and modern data platforms like Databricks and Snowflake, and the ability to communicate complex insights effectively to both technical and non-technical stakeholders. This role demands a balance of strategic leadership and hands-on technical expertise to address large-scale business challenges.

Skills

Python R SQL Databricks Snowflake GCP Azure Kubernetes CI/CD Prometheus Grafana PostgreSQL AWS Terraform Machine Learning Operations Research Cluster Analysis Simulation Inferential Statistics Neural Networks Data Mining

What you'll do

Lead advanced analytics strategy for inventory placement and replenishment in an omnichannel retail network.
Develop predictive models and machine learning algorithms to optimize inventory across stores and fulfillment centers.
Direct end-to-end analytics projects, ensuring alignment with business goals and measurable impact on performance metrics.
Guide cross-functional teams to implement production-ready models through testing, validation, and clear communication of results.
Shape data strategy by defining analytical approaches and prioritizing initiatives for modern data platforms and tools.

What we're looking for

Deep expertise in retail or supply chain inventory optimization with focus on high-volume omnichannel settings.
Proven ability to apply advanced analytics, machine learning, and operations research techniques to solve complex problems.
Experience leading and scaling high-performing analytics teams, providing mentorship and career development opportunities.
Strong background in translating data science concepts into actionable insights for executive decision-making.
Demonstrated success in influencing cross-functional stakeholders and deploying solutions with Merchants, Operations, and Engineering teams.
Proficiency in SQL, Python/R, and modern data platforms like Databricks, Snowflake, GCP, Azure to deliver scalable solutions.

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