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Real Estate Data Analyst Jobs in Texas (NOW HIRING)

Brio Real Estate is a Blackstone Real Estate portfolio company focused on real estate credit. Brio ... At Brio, the Associate, Data Analyst plays a key role in supporting our data ecosystem by ...

Data Analyst Location : Richardson, TX (Hybrid) Key Skills: * Must be proficient in using AI ... Experience with commercial real estate data * Able to present and communicate ideas to C-suite ...

... real estate valuation. Analyst works in close collaboration under a licensed senior appraiser to ... data, performing market surveys, and confirming property transaction details. All job training and ...

... real estate valuation. Analyst works in close collaboration under a licensed senior appraiser to ... data, performing market surveys, and confirming property transaction details. All job training and ...

Based in Hanover's Houston corporate office, this full-time Real Estate Analyst position is part of Hanover's Capital Markets team, where you'll work alongside a small, highly collaborative group of ...

Based in Hanover's Houston corporate office, this full-time Real Estate Analyst position is part of Hanover's Capital Markets team, where you'll work alongside a small, highly collaborative group of ...

Perform local, national and international real estate market analysis on a wide range of public and ... Independently gather data pertinent to the engagement through direct client interaction, including ...

Perform local, national and international real estate market analysis on a wide range of public and ... Independently gather data pertinent to the engagement through direct client interaction, including ...

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Showing results 1-20

Real Estate Data Analyst information

See Texas salary details

$31.7K

$77K

$126.7K

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 Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 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 Texas?

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

What cities in Texas are hiring for Real Estate Data Analyst jobs?

Cities in Texas with the most Real Estate Data Analyst job openings:

Infographic showing various Real Estate Data Analyst job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $76,992 per year, or $37 per hour.

Data Analyst Advisory Data & Research

Inficare Technologies

Richardson, TX • On-site

Full-time

Posted 17 days ago


Job description

Job Title: Data Analyst (Advisory Data & Research)
Job Overview
Key Responsibilities
  • Own analytical workstreams end-to-end - synthesize input from users, business stakeholders, and leadership into prioritized questions and metrics.
  • Build, maintain, and refine dashboards, reports, and self-service analytics using clean, well-documented SQL.
  • Drive data discovery alongside Product and UX partners - conduct user research and champion the end-user perspective.
  • Collaborate with Engineering and Data Engineering to translate analytical requirements into reliable, queryable data.
  • Define and deliver analyses end-to-end - from problem framing through validation, presentation, and impact measurement.
  • Represent findings to business leadership with crisp, regular readouts tied to strategic goals.
  • Proactively investigate data quality anomalies and resolve issues before they become blockers.
Required Skills
  • 3-5+ years of experience in Data Analytics, Business Intelligence, or a related quantitative field.
  • Strong SQL skills with hands-on experience querying large, complex datasets.
  • Fluency building dashboards and reports in modern BI tools (Power BI, Tableau, Looker, or similar).
  • Proficiency using AI tools in an analytical context.
  • Experience with commercial real estate data.
  • Ability to present and communicate insights to C-suite executives.
  • Comfort with data modeling, data quality, and data governance.
  • Familiarity with Snowflake, Databricks, or similar data warehousing platforms.
  • Proficiency with Microsoft Office (Word, Excel, Outlook, PowerPoint).
Preferred Skills
  • Proficiency in Python or R for analysis and automation.
  • Bachelor's degree in a quantitative discipline.
  • Experience in Commercial Real Estate (nice to have).
Location & Work Model
Richardson, TX - Onsite, 5 days/week.
Engagement Details
Contract | Duration: 6 Months