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Freelance Real Estate Data Analyst Jobs in Springfield, NJ

Real Estate Analyst

New York, NY · On-site

$80K - $95K/yr

New York, NY (Hybrid) Salary Range: $80,000 - $95,000 The Commercial Real Estate (CRE) Data Analyst supports Apple Bank's Real Estate Valuation & Advisory Division (REVAD), Commercial Mortgage ...

Real Estate Analyst

New York, NY · Hybrid

$80K - $95K/yr

New York, NY (Hybrid) Salary Range: $80,000 - $95,000 The Commercial Real Estate (CRE) Data Analyst supports Apple Bank's Real Estate Valuation & Advisory Division (REVAD), Commercial Mortgage ...

Strong client service skills, including clear communication, active listening, and timely follow-up. * Ability to conduct market research, analyze property values, and explain real estate data to ...

New

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data Analyst. In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes ...

What You'll Do | Key Accountabilities • Develops comprehensive, by brand and market, real estate strategy and execution planning in conjunction with Data Analytics and FP&A partners. Market plans ...

Contractor assignment/freelancer, potentially full-time. * Duration of projects: approximately 1 ... Trade secrets or internal company or university data. * Specific client information or case details.

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Showing results 1-20

Freelance Real Estate Data Analyst information

See Springfield, NJ salary details

$35.4K

$86.1K

$141.6K

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

As of Sep 2, 2026, the average yearly pay for freelance real estate data analyst in Springfield, NJ is $86,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $101,000.00 per year, depending on experience, location, and employer.

What does a freelance real estate data analyst do?

A Freelance Real Estate Data Analyst collects, processes, and interprets real estate data to help clients make informed decisions about property investments, pricing, market trends, and portfolio management. They work independently for various clients, using statistical tools and data visualization techniques to generate reports and insights. Their tasks often include analyzing property values, identifying market opportunities, and supporting strategic planning for real estate businesses or investors.

What are the key skills and qualifications needed to thrive as a freelance real estate data analyst?

To thrive as a Freelance Real Estate Data Analyst, you need strong analytical skills, expertise in real estate market trends, and a background in statistics or finance, often supported by a relevant degree. Proficiency with data analysis tools such as Excel, SQL, Python, and visualization platforms like Tableau or Power BI is typically required. Strong communication, attention to detail, and the ability to manage multiple clients independently are essential soft skills. These competencies ensure accurate insights, clear client deliverables, and effective decision-making in a dynamic real estate environment.

What are some common challenges faced by freelance real estate data analysts when working with multiple clients?

Freelance Real Estate Data Analysts often manage projects for several clients simultaneously, which can lead to challenges such as juggling competing deadlines and adapting to different data systems or reporting formats. Each client may use distinct software platforms and have unique expectations for data analysis and visualization, requiring a high degree of flexibility and strong communication skills. Additionally, ensuring data accuracy and maintaining client confidentiality are critical, as analysts often handle sensitive market and transaction information. Staying organized and proactive in communication helps build trust and deliver consistent, high-quality work.

What job categories do people searching Freelance Real Estate Data Analyst jobs in Springfield, NJ look for?

The top searched job categories for Freelance Real Estate Data Analyst jobs in Springfield, NJ are:

What cities near Springfield, NJ are hiring for Freelance Real Estate Data Analyst jobs?

Cities near Springfield, NJ with the most Freelance Real Estate Data Analyst job openings:

Infographic showing various Freelance Real Estate Data Analyst job openings in Springfield, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $86,056 per year, or $41.4 per hour.

Real Estate Analyst

Apple Bank

New York, NY • On-site

$80K - $95K/yr

Full-time

Posted 16 days ago


Job description

New York, NY (Hybrid)
Salary Range: $80,000 - $95,000
The Commercial Real Estate (CRE) Data Analyst supports Apple Bank's Real Estate Valuation & Advisory Division (REVAD), Commercial Mortgage Division (CMD), and other internal stakeholders by delivering data-driven analysis of real estate, financial, and market information. This position develops actionable insights, prepares analytical reports, conducts market research, and leverages data and AI-enabled tools to support valuation, underwriting, portfolio monitoring, risk management, due diligence, and informed business decisions.
ESSENTIAL DUTIES & RESPONSIBILITIES
  • Develop AI-enabled workflows to enhance property financial statement analysis and due diligence processes.
  • Conduct annual debt service coverage reviews.
  • Prepare and maintain recurring administrative and portfolio reporting.
  • Analyze market conditions, industry trends, and economic factors affecting portfolio performance.
  • Perform property inspections as required to support portfolio monitoring.
  • Support commercial real estate loan underwriting and credit analysis activities.
  • Maintain accurate portfolio data and support mortgage due diligence and administrative functions.
  • Conduct annual reviews of commercial mortgage-backed securities (CMBS).
  • Fulfill additional duties and special projects as assigned.

SKILLS, EDUCATION, & EXPERIENCE
  • Bachelor's degree in a related field of study preferred.
  • 2 + years of relevant experience in a comparable position.
  • Advanced knowledge of AI technologies, including prompt engineering, agent-based automation, machine learning, data science, and analytics, coupled with a proven ability to streamline processes and deliver business insights.
  • Argus Enterprise experience highly desired,
  • Strong command of Microsoft Excel, Power BI, Word.
  • Effective interpersonal, verbal, and written communication skills.
  • Knowledge of the New York metropolitan real estate market helpful.

Visa sponsorship not available.
We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, military and/or veteran status, or any other Federal or State legally-protected classes.