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Real Estate Data Analyst Jobs in Tennessee (NOW HIRING)

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 ...

Geodis

Director Real Estate

Brentwood, TN

Strong financial and analytical capabilities (business case development, cost modeling, ROI ... real estate decisions * Collaborate with operations and supply chain teams to ensure facilities ...

GEODIS

Director Real Estate

Brentwood, TN · On-site

Strong financial and analytical capabilities (business case development, cost modeling, ROI ... real estate decisions * Collaborate with operations and supply chain teams to ensure facilities ...

GEODIS

Director Real Estate

Brentwood, TN · On-site

Strong financial and analytical capabilities (business case development, cost modeling, ROI ... real estate decisions * Collaborate with operations and supply chain teams to ensure facilities ...

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All JobsReal Estate Data Analyst JobsReal Estate Data Analyst Jobs in Tennessee

Real Estate Data Analyst information

See Tennessee salary details

$30.9K

$75K

$123.4K

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

As of Aug 25, 2026, the average yearly pay for real estate data analyst in Tennessee is $75,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $88,000.00 per year, depending on experience, location, and employer.

What does a real estate data analyst do?

A Real Estate Data Analyst collects, processes, and interprets data related to property values, market trends, and investment opportunities. They use analytical tools and statistical models to help real estate professionals make informed decisions about buying, selling, or managing properties. Their work involves evaluating factors such as market demand, pricing trends, and geographical insights to assess the profitability of real estate investments. Additionally, they may create reports and dashboards to present data-driven recommendations to stakeholders.

What are the key skills and qualifications needed to thrive in the real estate data analyst position, and why are they important?

To thrive as a Real Estate Data Analyst, you need strong analytical abilities, a background in statistics or finance, and experience with real estate data, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Excel, Python, and visualization platforms like Tableau or Power BI is typically required, and certifications in data analytics can be advantageous. Attention to detail, clear communication, and problem-solving skills are key soft skills for effectively interpreting data and presenting insights to stakeholders. These abilities are crucial for making informed decisions that drive real estate investment and market strategy.

How to become a real estate data analyst?

To become a real estate data analyst, you typically need a bachelor's degree in fields like data science, statistics, economics, or real estate. Developing skills in data analysis tools such as Excel, SQL, and visualization software, along with understanding real estate markets, is essential. Gaining experience through internships or entry-level roles can also help build relevant expertise.

What is data analytics in real estate?

Data analytics in real estate involves collecting, processing, and analyzing property, market, and demographic data to identify trends, assess investment opportunities, and support decision-making. Real estate data analysts use tools like Excel, SQL, and visualization software to interpret large datasets and provide actionable insights for clients or organizations.

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

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

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

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

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

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

Real Estate Data Analyst jobs near you
Infographic showing various Real Estate Data Analyst job openings in Tennessee as of August 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $75,006 per year, or $36.1 per hour.

Market Intelligence Analyst

Nashville, TN • On-site

KBC Advisors LLC
Real Estate • 51 - 200 employees
Learn more about KBC Advisors LLCexternal

$60K - $73K/yr

Full-time

Medical, Retirement, PTO

Posted 13 days ago

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.