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Entry Level 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 ...

Entry Level Real Estate Who you work with matters. We are looking for a newly licensed or soon to be licensed real estate agent who wants to build a successful career with guidance, structure, and ...

We are looking for a driven Entry-Level Real Estate Agent ready to kickstart their career in the ... Research and analyze market trends to provide clients with accurate and up-to-date information

Description Entry-Level Real Estate Agent - Training & Mentorship Available Start strong in real estate with a high-performance team behind you. Newly licensed or working toward your license? We are ...

Entry-Level Real Estate Agent - Training & Mentorship Available Start strong in real estate with a high-performance team behind you. Newly licensed or working toward your license? We are hiring ...

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Entry Level Real Estate Data Analyst information

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$13

$32

$61

How much do entry level real estate data analyst jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for entry level real estate data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Real Estate Data Analyst, and why are they important?

To thrive as an Entry Level Real Estate Data Analyst, you need strong analytical skills, attention to detail, and a bachelor's degree in a relevant field such as finance, economics, or data science. Proficiency in Microsoft Excel, SQL, and data visualization tools like Tableau or Power BI is typically required. Excellent communication, problem-solving abilities, and curiosity help analysts interpret and present data insights effectively. These skills are essential for accurately analyzing market trends, supporting business decisions, and adding value to real estate organizations.

What is the difference between Entry Level Real Estate Data Analyst vs Real Estate Market Research Analyst?

AspectEntry Level Real Estate Data AnalystReal Estate Market Research Analyst
Required CredentialsBachelor's in Real Estate, Economics, or related fieldBachelor's in Market Research, Economics, or related field
Work EnvironmentReal estate firms, property management companies, or investment firmsMarket research firms, consulting agencies, or real estate companies
Employer & Industry UsageFocuses on analyzing real estate data for property valuation and investmentFocuses on analyzing market trends and consumer data for real estate insights

While both roles involve data analysis within the real estate industry, the Entry Level Real Estate Data Analyst primarily focuses on property-specific data, valuations, and investment analysis. In contrast, the Real Estate Market Research Analyst emphasizes broader market trends and consumer insights to inform real estate strategies. Both roles require similar educational backgrounds but differ in their specific focus areas and work environments.

What types of projects and data sets can an Entry Level Real Estate Data Analyst expect to work with on a day-to-day basis?

As an Entry Level Real Estate Data Analyst, you can expect to work with a variety of data sets, including property listings, sales transactions, market trends, and demographic information. Your daily responsibilities may include gathering and cleaning data from multiple sources, creating reports, and helping more senior analysts interpret patterns in the real estate market. You'll likely collaborate closely with brokers, agents, and other analysts to support decision-making and strategy. This role offers a great opportunity to develop technical skills in data visualization and analytics tools while gaining industry-specific knowledge.

What does an Entry Level Real Estate Data Analyst do?

An Entry Level Real Estate Data Analyst is responsible for collecting, processing, and interpreting data related to real estate markets and properties. They help organizations make informed decisions by analyzing trends, property values, and market conditions using statistical tools and software. Typical tasks include preparing reports, maintaining databases, and assisting senior analysts with research projects. This role requires strong analytical skills, attention to detail, and proficiency with software like Excel and SQL.
More about Entry Level Real Estate Data Analyst jobs
What cities are hiring for Entry Level Real Estate Data Analyst jobs? Cities with the most Entry Level 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 Entry Level Real Estate Data Analyst jobs? States with the most job openings for Entry Level Real Estate Data Analyst jobs include:
Infographic showing various Entry Level Real Estate Data Analyst job openings in the United States as of July 2026, with employment types broken down into 25% Internship, and 75% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Real Estate Analyst

Real Estate Analyst

Prime Communications

Sugar Land, TX • On-site

Full-time

Re-posted 3 days ago


Prime Communications rating

5.8

Company rating: 5.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

21st 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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