Senior Analytics Lead: Predictive Insights & Strategy

Walmart; Bentonville (AR); On-site; USD 90,000 - 180,000; Full time

Benefits offered by this job

Health benefits

401(k)

Stock purchase plan

PTO and Leaves

Job summary

Walmart’s Insights & Reporting team in Bentonville, AR seeks a Senior Manager, Advanced Analytics to lead complex data models and analytics excellence. You will translate ambiguous questions into actionable insights, drive driver analysis, forecasting, and ML-infused analytics for Merchandising, and present credible recommendations to senior leaders.

Lead end-to-end projects, ensure credibility of recommendations, and build centralized dashboards aligned with leadership needs.

Qualifications

• Bachelor's degree in Business, Finance, Accounting, Statistics, or related field required.
• 4+ years' experience in data analytics or related field OR 6+ years' experience in data analytics or related field preferred.
• MBA or Masters in related field preferred.

Responsibilities

• Deliver advanced analytics to merchants and leadership: turn ambiguous questions into credible, forward-looking answers.
• Own driver analysis, forecasting, predictive modeling, anomaly detection, and opportunity identification for Merchandising.
• Earn leadership trust: numbers and recommendations get acted on without re-litigation.
• Use AI-assisted development to shorten the path from question to analysis, validating at every step.
• Match analytical depth to business stakes: statistical/ML rigor when warranted, lighter when not.
• Know when a finding should become a standing report, or require deeper analysis.
• Build and manage centralized reporting dashboards aligned to leadership and merchandising needs.

Skills

SQL

Python

Predictive analytics

Education

Bachelor's degree in Business, Finance, Accounting, Statistics, or related field

MBA or Masters in relevant field

Tools

AI-assisted IDEs

CLI coding

Job description

Walmart’s Insights & Reporting team in Bentonville, AR seeks a Senior Manager, Advanced Analytics to lead complex data models and analytics excellence. You will translate ambiguous questions into actionable insights, drive driver analysis, forecasting, and ML-infused analytics for Merchandising, and present credible recommendations to senior leaders.

Lead end-to-end projects, ensure credibility of recommendations, and build centralized dashboards aligned with leadership needs.