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Real Estate Data Jobs (NOW HIRING)

Maintain database by capturing key data from appraisals. * Provide assistance and advice to lenders regarding appraisal issues. * Track local, regional and state real estate data and market trends ...

Maintain database by capturing key data from appraisals. * Provide assistance and advice to lenders regarding appraisal issues. * Track local, regional and state real estate data and market trends ...

Open (aligned with candidate's expertise and book of business) - M&A, Real Estate, Data Center, Energy, Infrastructure, and more About the Role: A high-performing boutique law firm is seeking ...

Open (aligned with candidate's expertise and book of business) - M&A, Real Estate, Data Center, Energy, Infrastructure, and more About the Role: A high-performing boutique law firm is seeking ...

Open (aligned with candidate's expertise and book of business) - M&A, Real Estate, Data Center, Energy, Infrastructure, and more About the Role: A high-performing boutique law firm is seeking ...

Open (aligned with candidate's expertise and book of business) - M&A, Real Estate, Data Center, Energy, Infrastructure, and more About the Role: A high-performing boutique law firm is seeking ...

Open (aligned with candidate's expertise and book of business) - M&A, Real Estate, Data Center, Energy, Infrastructure, and more About the Role: A high-performing boutique law firm is seeking ...

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Real Estate Data information

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$28.5K

$39.5K

$53K

How much do real estate data jobs pay per year?

As of Jun 23, 2026, the average yearly pay for real estate data in the United States is $39,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,500.00 per year, depending on experience, location, and employer.

What is the highest paid job in real estate?

The highest paid jobs in real estate are typically senior roles such as real estate developers, real estate investment managers, or commercial real estate brokers, often earning six-figure salaries or higher. These positions require extensive experience, strong negotiation skills, and often advanced certifications or degrees in finance, real estate, or business.

What does a real estate data analyst do?

A real estate data analyst collects, analyzes, and interprets data related to property markets, sales trends, and pricing to support decision-making. They use tools like Excel, SQL, or data visualization software to identify patterns and provide insights for investors, developers, or agencies. Strong analytical skills and knowledge of real estate markets are essential for this role.

What is real estate data and why is it important?

Real estate data refers to the collection of information related to properties, including details about ownership, sales history, property characteristics, market trends, valuations, and geographic locations. This data is crucial for buyers, sellers, investors, and real estate professionals to make informed decisions. Accurate real estate data helps in property valuation, identifying market opportunities, analyzing trends, and minimizing risks. It is also essential for developing marketing strategies and forecasting future market movements.

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

To thrive as a Real Estate Data Analyst, you need a strong background in data analysis, statistics, and real estate market principles, often supported by a degree in finance, economics, business, or a related field. Proficiency with analytics tools such as Excel, SQL, Tableau, and geographic information systems (GIS) is typically required. Attention to detail, critical thinking, and strong communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills and qualifications are crucial for making informed investment decisions, identifying market trends, and supporting strategic business growth in the real estate sector.

Is 40 too late for data science?

For a role in real estate data, starting a data science career at 40 is feasible, especially with relevant skills in data analysis, programming, and domain knowledge. Many professionals transition into data science later in life, and experience in real estate can be an asset when working with property data and market trends.

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, 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 the difference between Real Estate Data vs Real Estate Agent?

AspectReal Estate DataReal Estate Agent
Required CredentialsNone or data-related certificationsReal estate license
Work EnvironmentData analysis, research, and reportingClient interactions, property showings, negotiations
Industry UsageSupports real estate transactions with data insightsFacilitates buying, selling, and leasing properties
Search & Comparison IntentUnderstanding real estate market dataFinding a property or representing clients

Real Estate Data professionals focus on analyzing and interpreting property market information, while Real Estate Agents actively assist clients in buying, selling, or leasing properties. Both roles are essential in the real estate industry but serve different functions based on skills and responsibilities.

How does a Real Estate Data professional typically collaborate with other departments within a real estate company?

Real Estate Data professionals frequently work alongside teams such as acquisitions, marketing, finance, and property management to provide actionable insights from data. They often translate raw market and property data into reports that help guide investment decisions, pricing strategies, and operational improvements. Regular collaboration may involve participating in cross-functional meetings, presenting analytical findings, and responding to specific data requests from different departments. This collaborative structure ensures that strategic decisions across the company are data-driven and timely.
More about Real Estate Data jobs
What cities are hiring for Real Estate Data jobs? Cities with the most Real Estate Data job openings:
What states have the most Real Estate Data jobs? States with the most job openings for Real Estate Data jobs include:
Infographic showing various Real Estate Data job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Part Time. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $39,488 per year, or $19 per hour.
Senior Real Estate Appraiser

Senior Real Estate Appraiser

QNB Bank

Quakertown, PA

Full-time

Posted 17 days ago


Job description

The Senior Real Estate Appraiser will perform and review real estate appraisals and evaluations for commercial and residential properties, efficiently managing QNB's real estate appraisal process. This includes ordering and tracking appraisals prepared by external appraisers. The Appraiser will ensure compliance with the Uniform Standard of Professional Appraisal Practice (USPAP), applicable laws, regulatory requirements, and Bank policies.
GENERAL DUTIES AND RESPONSIBILITIES:
  1. Prepare thorough appraisals on problem loans or evaluations for properties as requested and permitted by bank policy.
  2. Review appraisals prepared by third parties for compliance with USPAP and the Bank's Appraisal Policy. Discuss and resolve any deficiencies with the appraiser and/or adjust the value accordingly.
  3. Perform on-site inspections on property to ascertain the condition of a property and/or assist in the preparation of an appraisal or evaluation.
  4. Manage the Commercial Lending Appraisal process through interaction with lenders regarding appraisal requests, acquiring relevant information to precisely define the scope of work for an appraisal assignment. Obtaining bids from qualified appraisers, preparing engagement letters and forward appropriate information to appraiser, and monitoring timely receipt of appraisals.
  5. Order or oversee the process to order appraisals on a rotating basis for the Retail and Mortgage loan functions.
  6. Track bids, engagement letters and receipt of appraisals.
  7. Maintain database by capturing key data from appraisals.
  8. Provide assistance and advice to lenders regarding appraisal issues.
  9. Track local, regional and state real estate data and market trends which may impact the bank's appraisals or evaluations.
  10. Directly or indirectly manage any employees involved in the appraisal process.
  11. Ensure appraisals and related documentation are saved in the Bank's electronic filing system.
  12. Review credentials and sample appraisals of professionals to be considered for addition to the Bank's Approved Appraiser list.
  13. Recommend changes to the Approved Appraiser list based on performance and need in various geographical areas or property expertise.
  14. Ensure submission of invoices to Accounts Payable.
  15. Responsible for the annual budget of the Appraisal Department.
  16. Comply with all State, Federal, and local law as well as USPAP, regulatory requirements and Bank policies.
  17. Complete assigned compliance training in a timely manner and demonstrate the ability to apply training to their duties and responsibilities including their supervision of other employees.
  18. Assume additional job-related duties as required.

REQUIRED TRAINING, EXPERIENCE AND EDUCATION:
  1. MAI designation, PA Certified General Appraiser, and appropriate continuing education requirements.
  2. Minimum of 5 years of experience as an appraiser.
  3. Thorough knowledge of the appraisal process, methodology and requirements.
  4. Knowledge of current industry regulations, rules and standards.
  5. Excellent time management skills.
  6. Critical thinking and problem-solving skills.
  7. Meticulous attention to detail.
  8. Impeccable organizational abilities.
  9. Ability to handle multiple tasks in a fast-paced environment.
  10. Proficiency with MSOffice Suite.
  11. Strong communication and interpersonal skills, both written and oral, to represent the Bank in a positive/professional manner.