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Real Estate Data Analyst Jobs (NOW HIRING)

... analytical and problem-solving skills • Ability to synthesize data into insights • Strong ... This role serves as the central hub for real estate data integrity, pipeline visibility, and cross ...

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Real Estate Data Analyst information

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$34K

$82.6K

$136K

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

As of Aug 8, 2026, the average yearly pay for real estate data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How do you 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 analysis in real estate?

Data analysis in real estate involves examining property, market, and transaction data to identify trends, assess property values, and support investment decisions. 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 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.

What cities are hiring for Real Estate Data Analyst jobs? Cities with the most Real Estate Data Analyst job openings:
What are the most commonly searched types of Real Estate Data Analyst jobs? The most popular types of Real Estate Data Analyst jobs are:
What states have the most Real Estate Data Analyst jobs? States with the most job openings for Real Estate Data Analyst jobs include:
Infographic showing various Real Estate Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Real Estate Analyst

Prime Communications

Sugar Land, TX • On-site

Full-time

Re-posted 23 days ago


Prime Communications rating

5.8

Company rating: 5.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

22nd of 30 rated technology retailers


Job description

Education & Experience
• Bachelor's degree in Real Estate, Finance, Economics, Business, or related field
• 1+ years of relevant experience
• Experience supporting multi-unit retail portfolios preferred
• Experience with lease management systems preferred
Technical Skills
• Advanced Excel skills
• Experience with Power BI, GPT, or similar
• Familiarity with Lease Administration systems & software
• Experience with data governance or system administration preferred
• Experience with AI or automation tools preferred
Core Competencies
• Strong analytical and problem-solving skills
• Ability to synthesize data into insights
• Strong systems thinking
• Excellent communication skills
• Highly organized and detail-oriented
• Ability to manage multiple priorities
• Proactive and continuous improvement mindset
Position Summary
The Real Estate Analyst is responsible for owning data governance, systems administration, and managing real estate transactional data and activity across a national retail portfolio of approximately 2,000 locations. This role serves as the central hub for real estate data integrity, pipeline visibility, and cross-functional system alignment, enabling efficient execution across Legal, Lease Administration, Construction, Facilities, and Finance. The Analyst will drive automation, data management, and process optimization initiatives while ensuring accuracy, consistency, and reliability across all real estate platforms and stakeholders.
Data Governance & System Ownership
• Own data integrity across all real estate systems, including lease management platforms and internal databases
• Serve as system administrator for real estate platforms, portals, and related tools
• Establish, maintain, and enforce data governance standards, processes, and SOPs
• Identify, investigate, and resolve data discrepancies across all Real Estate and Lease Administration systems
• Perform and oversee monthly system reconciliations across applicable platforms
• Provide system access, support, and troubleshooting for internal and external stakeholders
Business Intelligence
• Develop, maintain, and enhance portfolio-level dashboards
• Translate complex data into actionable insights
• Monitor and track key performance indicators across the real estate lifecycle

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