Real Estate Strategy Data Analyst

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

Benefits offered by this job

Competitive wages

Flexible hours

Associate discount

401(k) plan

Job summary

Burlington Stores, Inc. is seeking a Real Estate Strategy & GIS Analyst to support growth through geospatial analytics, predictive modeling, and data-driven decision making.

You will evaluate new and existing store opportunities by integrating demographic, competitive, and economic data using GIS, statistics, and automation tools. The role collaborates with the Market Planning team to influence real estate investments, portfolio optimization, and long-term market planning initiatives.

Qualifications

• Bachelor's degree in a quantitative field such as GIS, Geography, Data Science, Statistics or related field.
• 1–3 years of data analysis experience with strong analytical and forecasting skills.
• Familiarity with GIS tools and geodatabase concepts.
• Advanced Python/SQL/R skills to automate tasks and build models.
• Experience using AI tools to enhance analysis and productivity.
• Ability to communicate complex data insights to non-technical stakeholders.

Responsibilities

• Evaluate store performance and identify drivers of success or underperformance.
• Use GIS for geographic/demographic analysis of existing and potential locations.
• Develop automated data workflows in Python/SQL to streamline tasks.
• Create reports and presentations highlighting trends and actionable recommendations.

Skills

Data analysis

Statistical modeling

Forecasting

AI-enabled analysis

Data storytelling

Problem solving

Education

Bachelor's degree in GIS, Geography, Data Science, Statistics, Business Analytics, Economics, Urban Planning, Computer Science, Math

Tools

Python

SQL

R

Excel

Job description

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.

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.

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