Senior Merchandising Analytics Lead (Hybrid)

Burlington Stores, Inc.; Burlington (NJ); Hybrid; USD 65,000 - 80,000; Full time

Benefits offered by this job

Associate discount

Flexible hours

Medical, dental, vision benefits

Job summary

Burlington Stores, Inc. seeks a Sr. Merchandising Analyst to develop analytical models and drive data‑driven business improvements. You will partner with cross‑functional teams to align approaches, recommend solutions, and implement actions that change how the business operates.

The role emphasizes structured analytics, data identification, and translating insights into practical recommendations, with hybrid work in Burlington, NJ.

Qualifications

• Bachelor’s Degree with quantitative coursework.
• 2-5 years of analytics, management consulting, or merchandise planning.
• Experience with statistical analysis (preferred).

Responsibilities

• Take a business problem and build structured analytical approaches, including identifying needed data, required analysis, and strategies for presenting results.
• Design and build analytical solutions to enable recurring analysis of business performance.
• Scope, size, and plan the development of analytical solutions and set expectations accordingly.
• Translate high‑level business problems into discrete questions that can be answered using data‑driven models.
• Identify opportunities to improve business performance through analytical approaches.
• Translate model outputs into recommendations for how the business can operate differently.

Skills

Communication

Excel

Project management

Cross-functional

Retail math

Analytical skills

Education

Bachelor's degree

Tools

MS Office

PowerPoint

Job description

Burlington Stores, Inc. seeks a Sr. Merchandising Analyst to develop analytical models and drive data‑driven business improvements. You will partner with cross‑functional teams to align approaches, recommend solutions, and implement actions that change how the business operates.

The role emphasizes structured analytics, data identification, and translating insights into practical recommendations, with hybrid work in Burlington, NJ.