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Real Estate Data Science Jobs in Tennessee (NOW HIRING)

Deloitte

Tax Manager - Real Estate

Memphis, TN · On-site

$107K - $141K/yr

... and data analytics. * Managing engagement workflow, engagement team resources, and engagement ... Solid understanding of real estate tax technical and transaction skills, including partnership ...

Deloitte

Tax Manager - Real Estate

Nashville, TN · On-site

$107K - $140K/yr

... and data analytics. * Managing engagement workflow, engagement team resources, and engagement ... Solid understanding of real estate tax technical and transaction skills, including partnership ...

Deloitte

Tax Manager - Real Estate

Hermitage, TN · On-site

$97K - $127K/yr

... and data analytics. * Managing engagement workflow, engagement team resources, and engagement ... Solid understanding of real estate tax technical and transaction skills, including partnership ...

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All JobsReal Estate Data Science JobsReal Estate Data Science Jobs in Tennessee

Real Estate Data Science information

See Tennessee salary details

$34K

$111.4K

$178.3K

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

As of Aug 16, 2026, the average yearly pay for real estate data science in Tennessee is $111,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $123,400.00 per year, depending on experience, location, and employer.

How is data science used in real estate?

In real estate, data science is used by professionals to analyze market trends, predict property values, and identify investment opportunities. It involves techniques like machine learning, statistical modeling, and data visualization to support decision-making and optimize property management. Skills in data analysis tools and understanding of real estate markets are essential for data scientists in this field.

What are the typical daily responsibilities of a real estate data scientist?

As a Real Estate Data Scientist, your daily tasks often include collecting, cleaning, and analyzing property and market data to identify trends and generate predictive models. You'll collaborate with real estate analysts, agents, and business leaders to translate data-driven insights into actionable recommendations, such as pricing strategies or investment opportunities. Additionally, you may develop dashboards, automate reporting processes, and stay updated on emerging data sources or analytical techniques relevant to the real estate industry. This role offers the chance to have a direct impact on business outcomes while working in a dynamic, team-oriented environment.

What are the key skills and qualifications needed to thrive as a real estate data scientist?

To excel in Real Estate Data Science, you need strong analytical abilities, a background in statistics or economics, and experience with data modeling or machine learning, often supported by a relevant degree. Mastery of tools such as SQL, Python or R, and familiarity with GIS software or real estate databases is highly valued, along with certifications like Certified Analytics Professional (CAP) being a plus. Effective communication, critical thinking, and cross-functional teamwork skills distinguish top performers in this field. These qualifications enable professionals to extract actionable insights from complex real estate data, directly driving informed business decisions and market strategies.

What is a real estate data scientist?

A Real Estate Data Science job involves analyzing property-related data to identify trends, predict market movements, and optimize investment decisions. Professionals in this field use machine learning, statistical modeling, and big data techniques to assess property values, rental yields, and risk factors. They work with real estate firms, investors, and lenders to make data-driven decisions, improve portfolio performance, and enhance market strategies.

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

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

What are popular job titles related to Real Estate Data Science jobs in Tennessee?

For Real Estate Data Science jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Real Estate Data Science jobs in Tennessee look for?

The top searched job categories for Real Estate Data Science jobs in Tennessee are:

Real Estate Data Science jobs near you
Infographic showing various Real Estate Data Science job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $111,399 per year, or $53.6 per hour.

Manager - Real Estate Finance

Healthcarerealty

Nashville, TN • On-site

Full-time

Posted yesterday

New

Job description

Healthcare Realty is seeking a Manager - Real Estate Finance to support the budgeting, forecasting, reporting, and analytical needs of a national portfolio of medical office buildings (MOBs). This position will work closely with the Vice President of Real Estate Finance, Finance Managers, and other members of the Finance organization to deliver accurate financial reporting, actionable insights, and operational analytics that support portfolio performance.
The ideal candidate is highly analytical, technically proficient, and capable of taking ownership of projects from inception through completion. This individual must be comfortable working with large datasets, developing financial models, and communicating findings clearly to both finance and operational stakeholders.
This role offers a unique opportunity to gain exposure to real estate finance, REIT operations, budgeting and forecasting, operational analytics, and portfolio-level decision-making within a publicly traded company.
This is a full-time, in office position at our Nashville corporate headquarters. We offer competitive pay with a bonus opportunity, along with a full array of employee benefits. To see a listing of all benefits, go to www.healthcarerealty.com/careers/.
Equal Opportunity and Affirmative Action Employer including Minorities/Women/Veterans/Disabilities

Key Responsibilities

Budgeting, Forecasting & Financial Planning

  • Assist in the preparation and maintenance of annual budgets, quarterly forecasts, and periodic reforecasts for a national portfolio of medical office buildings.
  • Maintain property-level financial models and forecasting tools, ensuring assumptions are accurate and aligned with current operating and leasing expectations.
  • Analyze actual results against budget and forecast, identifying key drivers, trends, risks, and opportunities.
  • Support ad hoc financial modeling related to portfolio performance, leasing activity, occupancy trends, and operating expenses.
  • Partner with Asset Management, Accounting, and other departments to validate assumptions and improve forecast accuracy.

Financial & Operational Reporting

  • Prepare weekly, monthly, quarterly, and ad hoc reporting packages related to portfolio performance.
  • Analyze key financial metrics including NOI, cash leasing spreads, absorption, retention, occupancy, leasing activity, operating expenses, recoveries, and other portfolio performance indicators.
  • Develop recurring analyses and reporting tools that improve visibility into financial and operational performance.
  • Monitor performance against key operational and financial KPIs and communicate notable trends.
  • Support preparation of presentations and reporting materials for senior leadership.

Analytics & Process Improvement

  • Utilize large data sets to identify portfolio trends and business insights.
  • Develop and maintain dashboards, models, and reporting tools that enhance decision-making capabilities.
  • Identify opportunities to improve reporting processes, automate manual tasks, and enhance data quality.
  • Support the implementation and ongoing enhancement of MRI, Power BI, Excel-based reporting tools, and other analytical platforms.
  • Participate in special projects related to portfolio analytics, financial systems, and process improvements.

Qualifications

  • Bachelor's degree in Finance, Accounting, Real Estate, Economics, Business, or a related field.
  • 5-8 years of experience in FP&A, real estate finance, property accounting, asset management, commercial real estate analytics, or a related field.
  • Experience with property-level budgeting, forecasting, reforecasting, and variance analysis preferred.
  • Medical office, office, retail, or other commercial real estate experience strongly preferred.
  • Strong financial modeling and analytical skills with advanced Excel proficiency.
  • Experience working with large, complex data sets and translating data into actionable business insights.
  • Strong written and verbal communication skills with the ability to present findings clearly and concisely.
  • Experience with MRI, Power BI, or similar real estate and reporting platforms preferred.
  • Accounting background and strong understanding of financial statements is highly desirable.

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