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Part Time Real Estate Data Analyst Jobs (NOW HIRING)

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

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 ...

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Agam Real Estate

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Real Estate Assistant

Los Altos, CA · On-site

$30 - $35/hr

Team Mizrahi Los Altos is a high-volume, top-producing real estate team seeking a dynamic and ... This is part time position; 10 - 15 hours a week. This is a hybrid role with a mix of remote work ...

Damon Gettier & Associates

Realtors Needed

Salem, VA · On-site

Damon Gettier and Associates Realtors, brokered by Real Broker LLC, is hiring top-notch Real Estate Agents, full and part-time, who exhibit these traits. As a Realtor on our team, you'll guide ...

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Part Time Real Estate Data Analyst information

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$34K

$82.6K

$136K

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

As of Jul 20, 2026, the average yearly pay for part time real estate data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

A Part Time Real Estate Data Analyst should have strong analytical skills, proficiency in data interpretation, and a background in finance, statistics, or business, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Excel, SQL, and real estate databases like CoStar or MLS is typically required. Attention to detail, time management, and effective communication are important soft skills for presenting insights and collaborating with teams. These abilities ensure accurate market analysis, efficient reporting, and valuable support for real estate decision-making in a dynamic environment.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but a part-time real estate data analyst's role involves interpreting complex data, making strategic decisions, and understanding market context, which AI currently cannot fully replicate. Human judgment, domain knowledge, and communication skills remain essential in this profession, especially in dynamic fields like real estate. Therefore, AI is more likely to augment rather than replace data analysts in this role.

What does a Part Time Real Estate Data Analyst do?

A Part Time Real Estate Data Analyst collects, processes, and interprets data related to real estate markets, property values, trends, and investments. They typically use statistical tools and software to analyze datasets and generate reports that help real estate companies, investors, or agencies make informed decisions. Because the role is part-time, analysts may work flexible hours, often focusing on specific projects or ongoing data monitoring. Their insights can influence pricing strategies, property acquisitions, and market forecasts.

Can you be a data analyst as a side hustle?

A part time real estate data analyst can pursue side projects or freelance work outside their main job, provided they manage their time effectively and do not violate any employment agreements. Skills in data analysis tools like Excel, SQL, or Python can facilitate freelance opportunities, but balancing workload and maintaining quality is essential. Many data analysts work on side projects to expand their experience or supplement income.

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, agents, or developers. Strong analytical skills and knowledge of real estate markets are essential for this role.

How does a part-time real estate data analyst typically collaborate with other team members and departments?

As a part-time real estate data analyst, you will frequently work with property managers, leasing agents, and the finance department to gather and interpret data. Although your hours may be limited, regular communication—often via email, remote meetings, or shared dashboards—is essential to ensure your analyses align with team goals. You might also support marketing teams by providing insights on market trends or customer preferences. Strong collaboration skills and proactive updates help keep projects moving smoothly, even when working on a part-time schedule.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a part-time real estate data analyst. Success in this role depends on skills such as data analysis, proficiency with tools like Excel or SQL, and relevant training or certifications, which can be acquired at any age. Employers value experience and analytical ability regardless of age, making it possible to start a data analysis career later in life.
More about Part Time Real Estate Data Analyst jobs
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Part Time Real Estate Data Analyst jobs near you
Infographic showing various Part Time Real Estate Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Superior Part Time Real Estate Instructor - Greensboro/Winston-Salem

Superior Part Time Real Estate Instructor - Greensboro/Winston-Salem

Colibri Group

Greensboro, NC

Part-time

Re-posted 10 days ago

Job description

At Colibri Group, culture is a critical part of our collective success, and we live our values everyday: Love, Joy, Boldness, Teamwork, and Curiosity. These values guide our interactions with each other, our customers, and the community. 
 
We are currently seeking part-time Real Estate Instructors to instruct in-person and online courses for Colibri Group's esteemed brand, Superior School of Real Estate. 
 
The instructor will use the content and course materials provided to them to teach pre-licensing, continuing education, and post licensing courses. Our instructors help students understand material by leading insightful lessons, providing real-world examples, and answering questions. 
 
This is a part-time, employee position with an estimated time commitment of up to 29 hours per week. Classes are scheduled in the mornings, evenings, and weekends, and the length of each class is dictated based on the number of required hours. The instructor is paid an hourly rate based on the number of hours in the class. 
Position Requirements & Major Responsibilities
  • Instruct assigned courses according to the course plan  
  • Actively engage with students, both in the classroom and online 
  • Utilize strong understanding with webinar/livestreaming technology and online instruction  
  • Recommend strategies for success and assist students in meeting course objectives  
  • Participate in faculty curriculum and ad-hoc meetings 
Qualifications
  • Minimum 3-5 years of experience as a licensed real estate salesperson, broker, or attorney required. 
  • Active NC real estate license (salesperson or broker) required. 
  • DREI certification preferred.  
  • Previous instruction and/or training experience strongly preferred. 
  • State approval to teach pre-licensing, continuing education, and post licensing.  
  • Flexibility to teach weekend and evening classes. 
  • Computer with an HD camera and microphone required. 
  • Quiet, dedicated office space with strong internet connection required. 
  • Ability to instruct in an onsite classroom and via Zoom required. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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