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Home Based Real Estate Data Science Jobs (NOW HIRING)

... based Real Estate Directors. This role is embedded within the Real Estate team, working closely ... Demographic and psychographic data, traffic patterns, customer segmentation, and competitive ...

Remote/cloud-based real estate brokerage. * Training, coaching, marketing, and technical support. * Support focused on helping agents grow their business and client database. * Equal opportunity for ...

... based Real Estate Directors. This role is embedded within the Real Estate team, working closely ... Demographic and psychographic data, traffic patterns, customer segmentation, and competitive ...

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... based commercial real estate brokerage firm as commission-based real estate salespeople and ... Maximize your productivity with our cutting-edge technology, superior market data, in-house ...

Remote/cloud-based real estate brokerage. * Training, coaching, marketing, and technical support. * Support focused on helping agents grow their business and client database. * Equal opportunity for ...

Real Estate Analyst

New York, NY · On-site

$80K - $95K/yr

... agent-based automation, machine learning, data science, and analytics, coupled with a proven ... Knowledge of the New York metropolitan real estate market helpful. Visa sponsorship not available.

Real Estate Analyst

New York, NY · Hybrid

$80K - $95K/yr

... agent-based automation, machine learning, data science, and analytics, coupled with a proven ... Knowledge of the New York metropolitan real estate market helpful. Visa sponsorship not available.

As a Real Estate Specialist , you will help buyers and sellers navigate the property market while ... based on market conditions and property potential using data-driven insights * Develop creative and ...

Real Estate Buyer's Agent

Tulsa, OK · On-site

$40K - $75K/yr

... the home-buying journey. In this position, you'll work closely with buyers by conducting property ... About-our-team About Accent Realtors Accent Realtors is a Tulsa-based real estate brokerage built ...

Crown Homes Real Estate: Where Ambitious Agents Grow Are you ready to take your real estate career ... Leads Provided: Access to quality buyer and seller data to jumpstart your pipeline. * Strong ...

Showing results 41-60

Home Based Real Estate Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do home based real estate data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for home based real estate data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Home Based Real Estate Data Science vs Real Estate Data Analyst?

AspectHome Based Real Estate Data ScienceReal Estate Data Analyst
CredentialsDegree in Data Science, Statistics, or related field; proficiency in programming languages like Python or RDegree in Data Analysis, Economics, or related field; skills in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily remote, working with real estate datasets, modeling, and predictive analyticsRemote or on-site, focusing on data interpretation, reporting, and supporting real estate decisions
Industry UsageUsed by real estate firms, tech companies, and data-driven agencies for predictive modeling and market analysisCommonly employed by real estate agencies, brokerages, and investment firms for data reporting and insights

Home Based Real Estate Data Science involves advanced modeling and predictive analytics, requiring technical expertise, while Real Estate Data Analysts focus on interpreting data and generating reports. Both roles are essential in the real estate industry but differ in complexity and scope.

More about Home Based Real Estate Data Science jobs

What cities are hiring for Home Based Real Estate Data Science jobs?

Cities with the most Home Based Real Estate Data Science job openings:

What are the most commonly searched types of Real Estate Data Science jobs?

The most popular types of Real Estate Data Science jobs are:

What states have the most Home Based Real Estate Data Science jobs?

States with the most job openings for Home Based Real Estate Data Science jobs include:

Infographic showing various Home Based Real Estate Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Burlington rating

4.5

Company rating: 4.5 out of 10

Based on 947 frontline employees who took The Breakroom Quiz

20th of 21 rated department stores


Job description

Position Overview
Burlington Stores is seeking a highly organized and self-driven Real Estate Specialist to provide critical support to our territory-based Real Estate Directors. This role is embedded within the Real Estate team, working closely with Directors to ensure best-in-class execution of real estate transactions. The ideal candidate is expected to be proactive, self-directed, and capable of managing multiple responsibilities independently, including tracking landlord construction schedules, maintaining portfolio databases, and executing special projects.
A Day in the Life
Embedded Real Estate Support
  • Work closely with assigned Real Estate Directors as a key resource in managing real estate transactions, documentation, schedules, and overall deal activity. Provide administrative and self-directed project management support to ensure efficient deal flow and execution throughout the transaction lifecycle.
  • Partner directly with Real Estate Directors within the assigned division to manage and track all aspects of the deal lifecycle. Maintain frequent communication with external partners, including developers and brokers, to obtain required materials and information and coordinate with internal departments to support deal execution.
  • Create and maintain best-in-class retail real estate site selection packages for executive review, ensuring a clear, consistent, accurate, and data-driven presentation of each proposed location and its strategic fit and potential for success. Packages may include:
    • Executive Summary: Concise overview of the opportunity, including location, market potential, and financial highlights.
    • Site Details: Address, square footage, zoning, visibility, access, co-tenancy, parking, and nearby demand drivers.
    • Market & Trade Area Analysis: Demographic and psychographic data, traffic patterns, customer segmentation, and competitive analysis.
    • Sales & Performance Projections: Expected revenue, trade area capture rates, and benchmarking against comparable locations.
    • Financial Model: Lease terms, rent structure, CAM fees, build-out costs, expected ROI, and payback period.
    • Competitive Landscape: Nearby competitors, complementary retailers, and overall market positioning.
    • Risk Assessment: Potential challenges, including economic trends, local regulations, and site constraints, along with mitigation strategies.
    • Visuals & Maps: Aerial site plans, trade area heat maps, traffic flow diagrams, and storefront renderings.
    • Legal & Lease Considerations: Summary of key lease terms, contingencies, and approval timelines.
    • Recommendation & Next Steps: Key takeaways and an actionable framework for executive review and approval.

    Ensure site selection packages are data-driven, visually compelling, and decision-focused, allowing executives to quickly assess the strategic value of each opportunity.

Project & Schedule Management
  • Independently track and maintain landlord construction schedules, ensuring alignment with Burlington's critical path and project timelines. Manage assigned projects based on designated territories and business priorities.
  • Proactively identify potential delays, risks, and issues and escalate as appropriate to keep projects on track. Monitor open items in real time and during store development meetings, taking the necessary follow-up actions to drive resolution.
  • Coordinate with Real Estate Directors and internal cross-functional teams to ensure project milestones, deliverables, and approvals are completed on schedule.
  • Assist Real Estate Directors with site plan development for LOI/ELOI packages and participate in select site visits as needed.

Portfolio Tracking & Database Management
  • Develop, maintain, and manage real estate tracking databases to monitor key deal metrics, lease terms, expiration dates, project statuses, and other portfolio information.
  • Communicate with landlords and brokers to obtain updates and verify information, including survey status and other critical deal milestones.
  • Ensure data integrity and accuracy across portfolio tracking systems and provide regular reporting and insights to support real estate decision-making.
  • Identify opportunities to improve data organization, reporting, and workflow efficiencies.

Special Projects & Process Improvement
  • Take ownership of assigned special projects that support the Real Estate team's strategic initiatives, prioritizing work based on team needs and workload.
  • Support special projects related to areas such as bankruptcies, portfolio initiatives, and other time-sensitive real estate matters.
  • Identify and implement best practices to improve transaction workflows, lease documentation, reporting, and overall team efficiency.
  • Assist in streamlining processes related to real estate transactions, approvals, project tracking, and data management.
  • Attend regional ICSC shows and participate in site visits with Real Estate Directors and brokers as needed.

You'll Come With
  • Bachelor's degree in business, Real Estate, or a related field preferred.
  • 2-4 years of experience in real estate, construction, lease administration, or a related field. Retail or corporate real estate experience preferred.
  • Self-driven with the ability to work independently and take initiative.
  • Strong organizational and multitasking abilities with a keen attention to detail.
  • Proficiency in Microsoft Office Suite, including Excel, Word, and PowerPoint. Experience with real estate database management is preferred.
  • Ability to track and manage multiple projects simultaneously.
  • Strong written and verbal communication skills.
  • Analytical mindset with the ability to create and manage real estate tracking tools and reporting dashboards.
  • Ability to work effectively with cross-functional teams, internal stakeholders, and external partners.

#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.
Compensation Range: $50,000.00 - $65,000.00

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About Burlington

Sourced by ZipRecruiter

At Burlington, we embrace the many facets of diversity that strengthen our communities where we live and work every day. If you want to grow your retail career with a caring and inclusive organization, come join the Burlington Stores team as a Customer Service Supervisor, Selling Floor Supervisor or Receiving Team Supervisor!

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Burlington, NJ, US