Senior Manager, Advanced Analytics & Insights

Wal-Mart.com USA, LLC; Hoboken (NJ); On-site; USD 116,000 - 186,000; Full time

Benefits offered by this job

Health benefits

Stock purchase plan

Paid time off

Education assistance

Job summary

Wal-Mart is seeking a Manager, Advanced Analytics to lead end-to-end analytics workstreams at our Hoboken campus. You will collaborate with Directors and leadership to define hypotheses, develop research plans, and translate insights into strategic actions that drive business value.

The role demands expertise in SQL, Python/R, statistics, and data visualization. You will guide analysts, build production-ready models, and partner with stakeholders across Merchandising, Customer Experience, and

Qualifications

• Bachelor’s degree or equivalent in business, finance, accounting, statistics, data science, or related field.
• 2 years of experience in data analytics or related field or Master’s degree.
• Proficiency with SQL and Python/R for data extraction and analysis.
• Experience applying statistical techniques and machine-learning modeling to derive insights.

Responsibilities

• Owns end-to-end workstreams and projects for a business area or prototype.
• Presents actionable recommendations to Directors.
• Develops data models and collaborates to implement modeling solutions.
• Manages testing and validation of complex algorithms.
• Collaborates with cross-functional teams to deliver consultative analytics solutions.

Skills

SQL

Python/R

Statistical methods

Data storytelling

Tableau

Excel

BigQuery

Education

Bachelor's or Master’s in Business, Finance, Accounting, Statistics, Data Science, or related field

Tools

Tableau

PowerPoint

MS Excel

Google BigQuery

Job description

Wal-Mart is seeking a Manager, Advanced Analytics to lead end-to-end analytics workstreams at our Hoboken campus. You will collaborate with Directors and leadership to define hypotheses, develop research plans, and translate insights into strategic actions that drive business value.

The role demands expertise in SQL, Python/R, statistics, and data visualization. You will guide analysts, build production-ready models, and partner with stakeholders across Merchandising, Customer Experience, and