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Real Estate Data Science Jobs in Tennessee (NOW HIRING)

KBC Advisors LLC

Market Intelligence Analyst

Nashville, TN · On-site

$60K - $73K/yr

A bachelor's degree (preferably in a related field such as Real Estate, Data Science, or Business) required * 2 years related experience and/or training; or equivalent combination of education and ...

New

Vanderbilt Health

Real Estate Analyst

Nashville, TN · On-site

Knowledge and understanding of a database and how data is organized so that its contents can easily ... Real Estate Contracts (Advanced): The preparation, monitoring and management of the contracting ...

Vanderbilt Health

Real Estate Analyst

Nashville, TN · On-site

Knowledge and understanding of a database and how data is organized so that its contents can easily ... Real Estate Contracts (Advanced): The preparation, monitoring and management of the contracting ...

Varsity Tutors

Data Science Tutor

Chattanooga, TN · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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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.

Market Intelligence Analyst

KBC Advisors LLC

Nashville, TN • On-site

$60K - $73K/yr

Full-time

Medical, Retirement, PTO

Posted 3 days ago

New

Job description

KBC Advisors is seeking a Market Intelligence Analyst to support our Nashville, Tennessee brokerage team! We offer a dynamic, innovative environment with a company that is reimagining industrial real estate research.

This position is responsible for working with the data analytics, technology, and brokerage teams to support market research and analysis efforts and empower our clients to make effective real estate decisions. Our ideal candidate thrives in a fast-paced work environment and is a self-starter who is ready to help set the direction of our research platform.

KBC Advisors is a modern, nimble purpose-built firm. We pride ourselves on doing things differently. We want team members with diverse views and experiences who can bring new ideas to the table. We value what makes each of us unique and use it to drive our innovative approach to commercial real estate.

Essential Duties and Responsibilities

  • Research property attributes and ownership information, continually updating KBC records to reflect accurate and up-to-date information
  • Operationalize data processes to provide team with ad-hoc analysis
  • Track market information and prepare monthly, quarterly, and client-specific market reports
  • Collaborate with Location Intelligence (GIS) team at KBC, coordinating proprietary market dashboards and data visualization projects for external presentations
  • Proactively leverage KBC data and research for client strategy and business use; partner with KBC stakeholders to identify improvements and opportunities for thought leadership on market insights
  • Develop and continuously enhance research activities and processes, including tracking key market and building level activity
  • Assist in efforts to enhance our proprietary database and drive data entry, identify process and tool improvement opportunities
  • Creatively translate data into meaningful insights for our clients, supporting communication between KBC and clients
  • Drive data standardization processes for the purposes of marketing and industry collateral

Preferred Qualifications

  • Demonstrated skillset in analytical thinking, data interpretation and problem solving
  • Proven ability to uncover the story behind the data, supporting innovation and decision-making
  • Experience in database management preferred
  • Strong communication and presentation skills
  • Proficient in Microsoft Office, Word and Excel
  • Knowledge of commercial real estate market trends
  • Experience in financial modeling and analysis preferred
  • Eager to roll up your sleeves, execute work, and learn

Education and Experience

  • A bachelor’s degree (preferably in a related field such as Real Estate, Data Science, or Business) required
  • 2 years related experience and/or training; or equivalent combination of education and experience
  • Previous commercial real estate experience preferred

Compensation

The expected annual base salary for this position is $60,000-$73,000. Actual compensation will be determined based on experience, qualifications and geographic location.

This role may also be eligible for bonuses, or other incentive compensation, as well as a benefits package including health coverage, retirement plans, and paid time off, subject to eligibility requirements.