OpenNash Jobs
Burlington Stores · Burlington, NJ

Real Estate Strategy & GIS Analyst

Burlington, NJ$65,000.00 - $80,000.00Operations

Listed on Burlington Stores’s official careers site. Posted September 9, 2026. Check that it is still open and apply there.

Apply on Burlington Stores’s careers site →

Job description

Position Overview

The Real Estate Strategy & GIS Analyst is a key member of the Market Planning team responsible for supporting Burlington's growth strategy through geospatial analytics, predictive modeling, and data-driven decision making. This role evaluates new store, relocation, and existing store opportunities by integrating demographic, competitive, economic, and operational data. Leveraging Geographic Information Systems (GIS), statistical analysis, and automation tools, the Analyst develops actionable insights that influence real estate investment decisions, portfolio optimization, and long-term market planning initiatives.

A Day In The Life

  • Evaluate the performance of existing Burlington stores, identifying key drivers of success or underperformance.
  • Use GIS tools to provide geographic and demographic analysis for existing and potential store locations. Ensure data integrity and provide ad hoc analysis for various departments as needed.
  • Manage and update relational databases, including data on Burlington store performance, demographics, and competition. Implement Python and/or SQL scripts to automate repetitive tasks and streamline data workflows.
  • Develop reporting and presentations for management that highlight trends, insights, and actionable recommendations to optimize store operations.

You'll Come With

  • Bachelor's degree in GIS, Geography, Data Science, Statistics, Business Analytics, Economics, Urban Planning, Computer Science, Math or a related quantitative field. + 1-3 years of experience in data analysis or a related field.
  • Strong analytical skills with experience in statistical modeling and forecasting.
  • Familiarity with GIS tools and competitor analysis methodologies.
  • Understanding geodatabase architecture, versioning, and schema design.
  • Strong technical skills including Python, SQL, and R, with the ability to develop automated workflows, query and manage datasets, and perform advanced analytical modeling.
  • Experience using artificial intelligence (AI) and generative AI tools to enhance analysis, automate workflows, improve productivity, and identify actionable business insights.
  • Ability to leverage AI-assisted coding, scripting, and data preparation tools while ensuring accuracy, data integrity, and compliance with company standards.
  • Advanced knowledge of Microsoft Excel and other data visualization tools.
  • Ability to communicate complex data insights effectively to non-technical stakeholders.
  • Strong problem-solving skills and a proactive approach to process improvement. \#LI-CG1 Come join our team. You’re going to like it here!

You will enjoy competitive wages, flexible hours, and an associate discount. Burlington’s benefits package includes medical, dental and vision coverage including life and disability insurance. Full-time associates are also eligible for paid time off, paid holidays and a 401(k) plan. We are a rapidly growing brand and provide a variety of training and development opportunities so our associates can grow with us. Our teams work hard and have fun together!

Burlington associates make a difference in the lives of customers, colleagues, and the communities where we live and work every day. Burlington Stores, Inc. is an equal opportunity employer committed to workplace diversity. Individual pay decisions will be based on a variety of factors, such as but not limited to, qualifications, education, job-related skills, relevant experience, and geographic location. Min-Mid $65,000.00 - $80,000.00

Posting Number

R104395

Location

New Jersey-Burlington

Address

1830 Route 130 North

Zip Code

08016

Pay Rate

Salaried

Career Site Category

Corporate

Position Category

New Store

Job Type

Full-Time

Remote Type

Hybrid

Evergreen

No

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