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Data Analytics Real Estate Jobs (NOW HIRING)

Avid Core

Real Estate Data Analyst

Washington, DC · On-site

$55K - $75K/yr

Bachelor's degree in Data Analytics, Business, Finance, Real Estate, Economics, Geography, Information Systems, Public Administration, or a related field preferred, or an equivalent combination of ...

Avid Core

Real Estate Data Analyst

Washington, DC · On-site

Bachelor's degree in Data Analytics, Business, Finance, Real Estate, Economics, Geography, Information Systems, Public Administration, or a related field preferred, or an equivalent combination of ...

Avid Core

Real Estate Data Analyst

Washington, DC · On-site

$55K - $75K/yr

Bachelor's degree in Data Analytics, Business, Finance, Real Estate, Economics, Geography, Information Systems, Public Administration, or a related field preferred, or an equivalent combination of ...

Avid Core

Real Estate Data Analyst

Washington, DC

$55K - $75K/yr

Bachelor's degree in Data Analytics, Business, Finance, Real Estate, Economics, Geography, Information Systems, Public Administration, or a related field preferred, or an equivalent combination of ...

Carter's

Senior Analyst, Real Estate

Atlanta, GA · On-site

$84K - $112K/yr

Support store optimization through data and advanced analytics (proprietary regression model) * Preparation of strategic real estate data for quarterly business reviews and information for earnings ...

Parker's Kitchen

Real Estate Analyst

Savannah, GA · On-site

This role blends financial modeling with advanced data analytics, market research, and competitive intelligence to support sound real estate decisions across new store development, and acquisitions.

Parker's Kitchen

Real Estate Analyst

Savannah, GA · On-site

This role blends financial modeling with advanced data analytics, market research, and competitive intelligence to support sound real estate decisions across new store development, and acquisitions.

Carter's

Senior Analyst, Real Estate

Atlanta, GA · On-site

$84K - $112K/yr

Support store optimization through data and advanced analytics (proprietary regression model) * Preparation of strategic real estate data for quarterly business reviews and information for earnings ...

Carter's, Inc.

Senior Analyst, Real Estate

Atlanta, GA · On-site

$84K - $112K/yr

Support store optimization through data and advanced analytics (proprietary regression model) * Preparation of strategic real estate data for quarterly business reviews and information for earnings ...

HR&A Advisors

Analyst, Real Estate

Los Angeles, CA · On-site

$83K - $95K/yr

Demographic data analysis * Statistical analysis and econometrics * Infrastructure funding and ... Master's degree in Real Estate Development (MRED), Business Administration (MBA), Urban Planning ...

HR&A Advisors

Analyst, Real Estate

Los Angeles, CA · On-site

$83K - $95K/yr

Preparation of real estate pro formas for both market rate and affordable development ... Demographic data analysis * Statistical analysis and econometrics * Infrastructure funding and ...

Aligneddc

Analyst, Real Estate

Plano, TX · On-site

Analyst, Real Estate Does the thought of joining one of the fastest-growing, privately held data ... At Aligned Data Centers , not only do we celebrate success across our platform, we celebrate the ...

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Data Analytics Real Estate information

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How much do data analytics real estate jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for data analytics real estate in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

How do data analytics professionals in real estate typically collaborate with other teams to drive business decisions?

Data analytics professionals in real estate often work closely with departments such as acquisitions, marketing, and property management. They provide actionable insights by analyzing market trends, property performance metrics, and customer data, which supports informed decision-making on investments, pricing strategies, and tenant retention initiatives. Regular cross-functional meetings and the use of collaborative data platforms are common, ensuring that analytics findings are effectively integrated into broader business strategies. This collaborative approach helps organizations stay competitive in a dynamic real estate market.

What is data analytics in real estate?

Data analytics in real estate refers to the process of collecting, analyzing, and interpreting large volumes of property and market data to make informed decisions about buying, selling, investing, and managing real estate. This role involves using statistical tools and software to uncover trends, forecast market movements, and optimize portfolio performance. Professionals in this field help companies identify profitable opportunities, assess risks, and improve operational efficiency by leveraging data-driven insights.

What is the difference between Data Analytics Real Estate vs Data Analyst?

AspectData Analytics Real EstateData Analyst
Required CredentialsDegree in real estate, finance, or related fields; data analysis certificationsDegree in statistics, mathematics, computer science, or related fields; data analysis certifications
Work EnvironmentReal estate firms, property management companies, development projectsVarious industries including finance, healthcare, marketing, technology
Employer & Industry UsageReal estate industry-specific roles focusing on property data, market trendsCross-industry roles analyzing data to inform business decisions

Data Analytics Real Estate focuses on analyzing property and market data within the real estate industry, while Data Analysts work across multiple sectors applying data analysis skills to diverse datasets. Both roles require similar technical skills and certifications but differ mainly in industry focus and application.

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

To thrive as a Data Analytics professional in Real Estate, you need strong analytical skills, knowledge of real estate markets, and expertise in statistics, often supported by a degree in data science, finance, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and programming languages like Python or R is typically required. Excellent communication, attention to detail, and problem-solving abilities set outstanding professionals apart in this role. These skills enable accurate data-driven decisions, optimize property investments, and provide valuable market insights for stakeholders.
More about Data Analytics Real Estate jobs
What job categories do people searching Data Analytics Real Estate jobs look for? The top searched job categories for Data Analytics Real Estate jobs are:
Data Analytics Real Estate jobs near you
Sr. Real Estate Portfolio Analyst

Sr. Real Estate Portfolio Analyst

Cushman & Wakefield

Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago

Cushman & Wakefield rating

7.5

Company rating: 7.5 out of 10

Based on 154 frontline employees who took The Breakroom Quiz

86th of 162 rated real estate companies

Job description

Job Title
Sr. Real Estate Portfolio Analyst
Job Description Summary
Cushman & Wakefield is seeking a strategic, results-driven, and highly analytical Senior Analytics & Real Estate Strategy Analyst to support one or more of our most dynamic client accounts. This hybrid role seamlessly bridges advanced data analytics, corporate real estate strategy, and rigorous financial underwriting.
As a critical member of a high-performing account team, you will perform end-to-end data analysis, lead financial modeling, build interactive dashboards, and synthesize disjointed data into cohesive, executive-ready presentations. The ideal candidate possesses a rare blend of technical data prowess, financial acumen, and exceptional communication skills necessary to influence stakeholders and drive cross-functional business approvals for major real estate initiatives.
Job Description
Essential Duties and Responsibilities
1. Strategic Financial Modeling & Portfolio Underwriting
  • Lead the development of detailed, dynamic financial models for real estate acquisitions, dispositions, developments, and portfolio optimization.
  • Evaluate complex real estate transactions, executing detailed lease analysis, sale-versus-buy analysis, and comprehensive risk-return assessments.
  • Conduct rigorous scenario planning, sensitivity analysis, and stress testing to backstop critical real estate decisions and mitigate portfolio risk.
  • Utilize key real estate valuation metrics-including IRR, NOI, Cap Rates, and DSCR-to analyze performance and steer investment structures.
  • Support the client's internal capital allocation, budgeting, and financial planning processes.

2. Advanced Data Analytics & Dashboard Architecture
  • Support a large volume of concurrent data analysis workstreams, ensuring high-level data modeling accuracy and quality.
  • Design, build, and maintain interactive business intelligence dashboards (preferably in Looker/Looker Studio, Power BI, or Tableau) to translate complex datasets into clear, actionable visuals.
  • Champion data integrity, data governance best practices, and self-service analytics across the account, documenting data sources and metrics systematically.
  • Leverage advanced analytical platforms (such as Alteryx, ESRI, SQL, or Python) to automate data gathering and process inputs from multiple cross-functional parties.

3. Executive Storytelling, Consensus Building & Project Management
  • Perform end-to-end business due diligence: define complex problems with stakeholders, explore data trends, develop tailored KPIs, and synthesize findings into concise narratives.
  • Organize quantitative and qualitative analysis into logical communications and high-end, client-ready presentation materials for executive-level approval.
  • Partner cross-functionally with transactional teams, asset management, development teams, and client stakeholders to align corporate real estate strategy with broader business objectives.
  • Track and report on key account deliverables, proactively managing multiple high-impact commitments simultaneously in a fast-paced environment.
  • Serve as a strategic partner, stepping in to spearhead ad-hoc strategic projects as shifting client needs arise.

Education and Experience
  • Education: Bachelor's degree required, preferably in Finance, Real Estate, Economics, Data Analytics, or a related business/technical field.
  • Experience: 5 to 8+ years of professional experience in corporate real estate strategy, finance, or equivalent analytical experience within an innovative, fast-paced environment.
  • Real Estate Acumen: Proven mastery of commercial real estate evaluation metrics, leasing dynamics, and capital planning.
  • Client-Facing History: Demonstrated background in a client-serving environment or working on highly dynamic, cross-functional teams is strongly preferred.

Technical & Core Competencies
  • Data & Analytics Stack: Advanced proficiency in Excel/Google Sheets is required. Proven experience using data analysis & visualization platforms like Power BI, Tableau, Looker, Alteryx, SQL, Python, or ESRI is strongly preferred.
  • Project & Time Management: A proven track record of proactively managing multiple commitments, tight timelines, and competing tasks simultaneously while maintaining rigorous attention to detail and accuracy.
  • Communication & Influence: Exceptional interpersonal, communication, and presentation skills, with a demonstrated commercial mindset and the ability to influence and align diverse stakeholders at all levels.

Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate's experience and qualifications.
The company will not pay less than minimum wage for this role.
The compensation for the position is: $ 93,500.00 - $110,000.00
Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.
INCO: "Cushman & Wakefield"

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