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Real Estate Data Analyst Jobs in Virginia (NOW HIRING)

... real estate planning and new store site selection process. The position will serve as a key player ... in data analytics. Come help us grow! Principal Duties and Responsibilities - Primary ...

... real estate planning and new store site selection process. The position will serve as a key player ... in data analytics. Come help us grow! Principal Duties and Responsibilities - Primary ...

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

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

Works closely with Real Estate Analysts and Sr. Real Estate Analysts supporting, reviewing and ... Works with national real estate firm for market data. Assists in the preparation of strategies for ...

Develop pro forma financial models based on analyses of economic, demographic, and real estate market data, e.g., rent growth and vacancy assumptions, and develop forecasts of multi-family market and ...

Develop pro forma financial models based on analyses of economic, demographic, and real estate market data, e.g., rent growth and vacancy assumptions, and develop forecasts of multi-family market and ...

Works closely with Real Estate Analysts and Sr. Real Estate Analysts supporting, reviewing and ... Works with national real estate firm for market data. Assists in the preparation of strategies for ...

Data Scientist AI-Data Scientist-CoStarGroup-Richmond, VA Company Overview: CoStar Group (NASDAQ ... CSGP) is a leading global provider of commercial and residential real estate information, analytics ...

Data Scientist AI-Data Scientist-CoStar Group-Richmond, VA Company Overview: CoStar Group (NASDAQ ... CSGP) is a leading global provider of commercial and residential real estate information, analytics ...

Real Estate Manager

Chesapeake, VA · On-site

$120K - $130K/yr

Your strategic mindset, analytical curiosity, and relationship-building skills make you a great fit ... data-driven site selection decisions. * Monitor regional and industry trends and provide strategic ...

Data Scientist AI-Data Scientist-CoStar Group-Richmond, VA Company Overview: CoStar Group (NASDAQ ... CSGP) is a leading global provider of commercial and residential real estate information, analytics ...

Data Scientist

Richmond, VA · On-site

$71 - $105/hr

Data Scientist AI-Data Scientist-CoStar Group-Richmond, VA Company Overview CoStar Group (NASDAQ ... CSGP) is a leading global provider of commercial and residential real estate information, analytics ...

Demonstrated ability to analyze complex financial, operational, and market data and translate findings into actionable recommendations. Strong understanding of real estate valuation methods, market ...

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Showing results 1-20

Real Estate Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

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

As of Sep 4, 2026, the average yearly pay for real estate data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 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 Virginia?

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

What job categories do people searching Real Estate Data Analyst jobs in Virginia look for?

The top searched job categories for Real Estate Data Analyst jobs in Virginia are:

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

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

Infographic showing various Real Estate Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Financial/Data Analyst

Omni Consulting Solutions

Washington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Position Title: Financial/Data Analyst
Location: Washington D.C, VA
Clearance: Active Top Secret required
U.S. Citizenship required
OMNI Consulting Solutions is seeking a Financial/Data Analyst to provide financial,
data analytics, and business intelligence support for real estate programs serving a federal government customer. The Analyst evaluates real estate investments, development vs renovation opportunities, operating performance, project costs, and portfolio-level financial information to support informed decision-making.
The position requires demonstrated experience supporting real estate programs and developing, modifying, and maintaining pro forma financial models for real estate assets and transactions. The Analyst will analyze assumptions related to development, leasing, operating expenses, and capital improvements. The Analyst works closely with government stakeholders, program managers, analysts, and other technical teams to understand business requirements, evaluate alternatives, identify risks, and develop actionable recommendations.
Experience with Microsoft Power BI, Power Apps, Power Automate, and related data tools is beneficial but secondary to real estate financial analysis, pro forma modeling, and strong Excel capabilities.
  • Support federal real estate programs, transactions, development initiatives, acquisitions, dispositions, leasing activities, and asset management efforts.
  • Develop, modify, maintain, and analyze real estate pro forma models for acquisitions, developments, redevelopments, leasing, operating assets, and other real estate investments.
  • Build and evaluate financial models incorporating costs, financing assumptions, operating expenses, capital expenditures, vacancy, and other real estate-specific assumptions.
  • Conduct sensitivity analyses, scenario analyses, break-even analyses, and risk assessments to evaluate the impact of changes in assumptions, market conditions, schedules, and costs.
  • Review and validate model inputs, assumptions, formulas, calculations, and outputs for completeness, consistency, reasonableness, and accuracy.
  • Collect, integrate, analyze, and interpret complex financial, budgetary, operational, and real estate data from multiple sources.
  • Develop recommendations to help the government achieve real estate, financial, budgetary, investment, and operational objectives.
  • Prepare financial analyses, investment memoranda, feasibility studies, valuation analyses, forecasts, reports, presentations, and other decision-support products.
  • Evaluate project costs, benefits, risks, resource requirements, schedules, and expected outcomes to support real estate program planning and execution.
  • Identify inconsistencies, gaps, risks, and opportunities in real estate assumptions, financial models, budgets, and supporting documentation.
  • Develop and maintain reporting tools, dashboards, and data visualizations to communicate real estate program, portfolio, financial, and operational performance.
  • Use Microsoft Power BI, Power Apps, Power Automate, SharePoint, and related tools as appropriate to improve reporting, data collection, workflow management, and process efficiency.
  • Integrate data from spreadsheets, databases, SharePoint, Microsoft 365, and other government-approved systems into analytical and reporting solutions.
  • Evaluate existing business processes and data flows to identify inefficiencies, redundancies, gaps, and opportunities for process improvement or limited automation.
  • Translate customer requirements and real estate program needs into practical financial, analytical, reporting, and technology solutions.
  • Perform quantitative analyses and disaggregate complex datasets to identify trends, relationships, root causes, and opportunities for improvement.
  • Establish and apply appropriate data validation, model governance, and quality-control procedures to ensure analyses and reporting are complete, consistent, transparent, and accurate.
  • Present complex real estate, financial, and analytical information in clear, concise formats appropriate for technical and non-technical audiences.
  • Work directly with government stakeholders to identify emerging needs, clarify assumptions, evaluate alternatives, and proactively recommend solutions.
  • Develop documentation, model guides, user guides, standard operating procedures, and other supporting materials for financial models, reports, dashboards, and analytical processes.
  • Provide ongoing support, enhancements, troubleshooting, and quality assurance for models, reports, dashboards, and analytical tools developed for the customer.

  • Bachelor's degree from an accredited college or university and four (4) or more years of related professional experience in financial analysis, real estate, asset management, investment analysis, financial modeling, data analysis, or a related field.
  • Demonstrated experience supporting real estate programs, projects, portfolios, transactions, development activities, leasing, asset management, or related real estate functions.
  • Demonstrated experience building, modifying, maintaining, and analyzing real estate pro forma financial models.
  • Strong understanding of real estate financial concepts, including operating expenses, capital expenditures, financing, utilization, and performance.
  • Advanced proficiency with Microsoft Excel, including complex formulas, financial modeling, scenario and sensitivity analysis, PivotTables, data validation, and model organization.
  • Demonstrated ability to analyze large quantities of financial, operational, and real estate information and evaluate costs, benefits, performance, risks, and project outcomes.
  • Strong quantitative skills and demonstrated ability to solve complex mathematical and analytical problems.
  • Ability to review and validate financial models, assumptions, calculations, data sources, and analytical outputs.
  • Demonstrated ability to identify process inefficiencies, data-quality issues, and modeling risks and develop practical solutions to improve accuracy and performance.
  • Ability to translate complex real estate, financial, and technical concepts into clear recommendations for government leadership and stakeholders.
  • Strong problem-solving skills with the ability to approach challenges from new perspectives.
  • Strong attention to detail and commitment to financial accuracy, model integrity, and data quality.
  • Excellent written and verbal communication skills.
  • Highly motivated, proactive, and comfortable working independently with government customers to identify and solve problems.
  • Consultative mindset, with the ability to understand customer needs, evaluate alternatives, recommend solutions, and take ownership of improvements from concept through implementation.
  • Active Top Secret security clearance required.
Preferred Qualifications
  • Experience supporting federal government real estate, facilities, infrastructure, capital investment, asset management, or portfolio management programs.
  • Experience with real estate acquisitions, dispositions, development, redevelopment, leasing, public-private partnerships, or property operations.
  • Experience with real estate programs, feasibility analysis, market analysis, or transaction analysis.
  • Experience with federal budgeting, appropriations, capital planning, resource management, or program management.
  • Experience developing portfolio-level reporting, dashboards, forecasts, and performance analyses.
  • Experience with Microsoft Power BI, including dashboards, reports, visualizations, and data models.
  • Experience with Power Apps, Power Automate, SharePoint, or other tools used to support data collection, workflow management, reporting, or process improvement.
  • Experience identifying opportunities to improve or automate manual real estate, financial, reporting, or administrative processes.
  • Experience gathering requirements directly from senior leaders and translating those requirements into financial models, reports, dashboards, analytical tools, and decision-support products.

Why Join OMNI?
OMNI Consulting Solutions is a boutique consulting firm specializing in creating game-changing value and simple solutions for complex demands. OMNI is built on the idea that change moves the world forward, and through creative and entrepreneurial leadership OMNI maintains a bold reputation within the DoD/Aerospace community and across the various other industries we support.
As an OMNI employee, you can be assured of extensive growth opportunities, inordinately competitive salary compensation packages, and the unparalleled support of the OMNI family. We are an equal-opportunity employer, and our benefits packages are designed to meet the needs of all our employees and dependents:
  • Medical Coverage
  • Dental Benefits
  • Vision Benefits
  • Life Insurance
  • 401(k) Retirement Plan with Employer Matching
  • Fully Vested on Day 1 of Employment
  • Paid Time Off & Sick Leave
  • Company Sponsored Social Events

Is It a Match?
If you are interested in this position or other opportunities at OMNI, please let us know! We only need your resume and some basic details to get things started.
Even if you aren't a match, we may still be interested! We will keep your resume on-file and will let you know if something matching your skills comes along.
Job Code (8.26.2)