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Full Time Real Estate Data Analyst Jobs (NOW HIRING)

Prime Communications

Real Estate Analyst

Sugar Land, TX · On-site

... 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 ...

IDEAL Real Estate

Real Estate Broker

Kalispell, MT · On-site

Description We're looking for a highly driven full-time real estate managing broker to lead our top-performing team. You'll recruit new agents to expand your real estate brokerage, create training ...

IDEAL Real Estate

Real Estate Broker

Kalispell, MT

$150K/yr

We're looking for a highly driven full-time real estate managing broker to lead our top-performing team. You'll recruit new agents to expand your real estate brokerage, create training materials to ...

Hanover R.S. Limited Partnership

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 ...

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Full Time Real Estate Data Analyst information

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

As of Aug 9, 2026, the average yearly pay for full time 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.

What are some common challenges faced by full time real estate data analysts, and how can they be addressed?

Full Time Real Estate Data Analysts often encounter challenges such as ensuring data accuracy from multiple sources, integrating disparate datasets, and interpreting market trends in rapidly changing environments. To address these, it's important to develop strong data validation processes, maintain clear documentation, and collaborate closely with IT and business teams. Regular communication with brokers, asset managers, and other stakeholders also helps analysts stay aligned with business goals and provide actionable insights.

What are the key skills and qualifications needed to thrive as a full time real estate data analyst, and why are they important?

To thrive as a Full Time Real Estate Data Analyst, you need a strong analytical background, proficiency in data modeling, and typically a degree in statistics, economics, or a related field. Familiarity with tools such as SQL, Excel, Python, and real estate analytics platforms like CoStar or MLS is standard, along with experience using data visualization software like Tableau or Power BI. Exceptional attention to detail, critical thinking, and effective communication skills are vital for interpreting data and presenting actionable insights to stakeholders. These competencies ensure accurate market analysis and support data-driven decision-making that drives business success in the real estate sector.

What is the difference between Full Time Real Estate Data Analyst vs Real Estate Market Research Analyst?

AspectFull Time Real Estate Data AnalystReal Estate Market Research Analyst
CredentialsBachelor's in Data Analysis, Real Estate, or related field; proficiency in data toolsBachelor's in Market Research, Economics, or related field; strong analytical skills
Work EnvironmentOffice setting, real estate firms, or investment companiesMarket research firms, real estate consultancies, or corporate offices
Industry UsageUsed across real estate investment, development, and brokerage firmsCommon in real estate consulting and market analysis sectors

The Full Time Real Estate Data Analyst primarily focuses on analyzing real estate data to support investment decisions, while the Real Estate Market Research Analyst emphasizes studying market trends and consumer insights. Both roles require strong analytical skills and relevant credentials, but their core functions differ slightly in focus and application within the real estate industry.

What does a full time real estate data analyst do?

A Full Time Real Estate Data Analyst collects, processes, and interprets data related to real estate markets, property values, and investment trends. They use statistical tools and software to analyze large datasets, create reports, and provide insights that help companies make informed decisions about buying, selling, or managing properties. Their work often involves evaluating market conditions, forecasting trends, and identifying opportunities or risks. This role is key in supporting real estate professionals, investors, and developers with data-driven strategies.
What cities are hiring for Full Time Real Estate Data Analyst jobs? Cities with the most Full Time 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:
Full Time Real Estate Data Analyst jobs near you
Infographic showing various Full Time 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 24 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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