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Remote Real Estate Data Analyst Jobs in California

SpaceX

Sr. Real Estate Analyst

Hawthorne, CA · On-site +1

$110K - $150K/yr

Gather real estate market data to facilitate internal recommendations/decisions * Correspond with ... This role requires you to be onsite - remote or hybrid work will not be considered COMPENSATION AND ...

Tailored Brands

Real Estate Director

Dublin, CA · On-site +1

... Data Analytics and FP&A partners. Market plans will include evaluation of existing stores ... remote location • Role is based in the Greater Los Angeles area or Bay Area and near a major ...

NEWMARK

Data Outreach Associate

Los Angeles, CA · On-site +1

$50K - $65K/yr

Remote (Pacific Time or Mountain Time) Firm Overview : Newmark is seeking a highly motivated Data ... The ideal candidate is organized, analytical, comfortable communicating with commercial real estate ...

Avantus

Sr. Paralegal, Real Estate

San Diego, CA · Remote

Conduct analysis, coordination and procurement of crossing consents and crossing agreements with ... Prepare closing schedules and assist with population of documents to data rooms. * Attend to all ...

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Remote Real Estate Data Analyst information

What is the difference between Remote Real Estate Data Analyst vs Remote Real Estate Market Research Analyst?

AspectRemote Real Estate Data AnalystRemote Real Estate Market Research Analyst
Required CredentialsBachelor's in Data Science, Real Estate, or related field; proficiency in data analysis toolsBachelor's in Economics, Real Estate, or related; strong research and analytical skills
Work EnvironmentRemote, often collaborating with real estate firms and data providersRemote, working with market reports, surveys, and industry data
Employer & Industry UsageReal estate agencies, investment firms, data companiesReal estate consultancies, market research firms, brokerage firms

The Remote Real Estate Data Analyst focuses on analyzing real estate data to support investment decisions, while the Remote Real Estate Market Research Analyst emphasizes studying market trends and consumer insights. Both roles are remote, require analytical skills, and serve the real estate industry, but they differ in their primary focus and types of data handled.

What is a remote real estate data analyst?

A Remote Real Estate Data Analyst is a professional who works from a remote location to collect, process, and analyze data related to real estate markets. Their responsibilities often include interpreting trends, evaluating property values, and providing insights to support buying, selling, and investment decisions. They use statistical tools and software to analyze data such as market trends, demographic information, and property performance. By working remotely, they leverage digital platforms to access and share data with real estate companies, investors, and other stakeholders. This role is ideal for those who are analytical, detail-oriented, and comfortable working independently with large datasets.

How does a remote real estate data analyst typically collaborate with other team members?

As a Remote Real Estate Data Analyst, collaboration with colleagues—such as real estate agents, market researchers, and business development teams—mainly occurs via digital tools like video conferencing, cloud-based data platforms, and instant messaging. You’ll regularly attend virtual meetings to present data insights, discuss market trends, and support decision-making processes. Clear communication and proactive sharing of analyses are key to ensuring your data-driven recommendations align with overall business goals, despite working from different locations.

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

To thrive as a Remote Real Estate Data Analyst, you need a strong background in data analysis, real estate market knowledge, and proficiency with statistical methods, often supported by a degree in finance, economics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), advanced Excel, SQL, and sometimes Python or R is typically required. Exceptional attention to detail, critical thinking, and effective remote communication are vital soft skills for this position. These skills enable analysts to deliver accurate insights, support data-driven decision-making, and collaborate efficiently with remote teams in a dynamic real estate environment.
What are the most commonly searched types of Real Estate Data Analyst jobs in California? The most popular types of Real Estate Data Analyst jobs in California are:
What are popular job titles related to Remote Real Estate Data Analyst jobs in California? For Remote Real Estate Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Real Estate Data Analyst jobs in California look for? The top searched job categories for Remote Real Estate Data Analyst jobs in California are:
What cities in California are hiring for Remote Real Estate Data Analyst jobs? Cities in California with the most Remote Real Estate Data Analyst job openings:
Remote Real Estate Data Analyst jobs near you
Infographic showing various Remote Real Estate Data Analyst job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Real Estate Data Scientist - Remote

Harbor Freight Tools

Calabasas, CA • On-site, Remote

$98K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description


The Real Estate Data Scientist is responsible for developing advanced analytical models and data-driven tools that support strategic real estate decisions across the organization. This role partners closely with Real Estate, Finance, Marketing, and Supply Chain teams to deliver predictive insights related to site selection, network optimization, sales forecasting, and market planning. This role incorporates advanced spatial modeling, geostatistics, and geospatial data engineering to evaluate trade areas, quantify market potential, and optimize network performance.
This position combines strong statistical modeling, data engineering, and business acumen to translate complex data into actionable recommendations. The Real Estate Data Scientist plays a critical role in advancing the organization's use of machine learning, automation, and predictive analytics to improve decision quality and scalability. This is a senior individual contributor role with no direct people management responsibility.
Duties and Responsibilities
  • Advanced Analytics & Predictive Modeling
    • Develop and deploy predictive models for site selection, sales forecasting, cannibalization, and market potential.
    • Build and maintain machine learning models using regression, classification, clustering, optimization, and spatial modeling techniques.
    • Apply spatial statistical methods (e.g., spatial regression, geographically weighted regression, spatial autocorrelation) to capture geographic variation in demand drivers.
    • Develop trade area and customer draw models (e.g., Huff/gravity models) to estimate market share and competitive impact.
    • Incorporate spatial features such as proximity, co-tenancy, demographics, traffic patterns, and nearby store performance into predictive models.
    • Design methodologies for forecasting store performance under various scenarios, including spatial and competitive effects.
    • Continuously monitor and improve model performance and accuracy.
  • Data Engineering & Automation
    • Design scalable data pipelines integrating real estate, customer, demographic, sales, and geospatial datasets (parcel, census, traffic, mobility, POI data).
    • Perform geospatial data processing including geocoding, spatial joins, coordinate transformations, and spatial indexing (e.g., H3 or similar frameworks).
    • Write efficient SQL and Python workflows to automate recurring analyses, spatial feature engineering, and model refreshes.
    • Ensure data quality, consistency, and reproducibility across analytical outputs, including alignment of spatial boundaries and geographic hierarchies.
  • Real Estate Strategy & Decision Support
    • Partner with Real Estate teams to support site selection, market entry, relocations, and closures.
    • Develop drive-time and network-based trade area analyses to assess accessibility and market reach.
    • Conduct market coverage and white space analysis to identify expansion opportunities and underserved areas.
    • Build location-allocation and network optimization models to determine optimal site placement.
    • Quantify cannibalization and competitive effects using spatial overlap and proximity-based modeling.
    • Provide quantitative insights for Real Estate Committee (REC) evaluations and executive decisions.
    • Develop scoring frameworks and decision tools to prioritize opportunities.
  • Visualization & Communication
    • Create clear, compelling visualizations and dashboards (Tableau, Power BI, or similar) to communicate insights.
    • Develop interactive geospatial visualizations including trade area maps, performance heatmaps, and market opportunity analyses.
    • Present analytical findings and recommendations to senior leadership and non-technical stakeholders.
  • Experimentation & Innovation
    • Design and execute experiments (A/B tests, quasi-experimental designs) to evaluate real estate strategies.
    • Implement geo-based testing frameworks (e.g., test vs. control markets) to measure impact of site decisions.
    • Apply causal inference methods (e.g., difference-in-differences, synthetic control) accounting for geographic spillovers.
    • Explore new data sources (e.g., mobility, foot traffic) and modeling techniques to enhance predictive capabilities.
    • Contribute to building a best-in-class real estate analytics capability.
  • Cross-Functional Collaboration
    • Work closely with GIS, Data Engineering, Finance, Marketing, and IT teams to align data and models.
    • Partner with GIS teams to ensure alignment between spatial analysis, mapping, and production data pipelines.
    • Translate business problems into analytical solutions and actionable insights.
Scope
  • Staff supervision and development: No
  • Decision making:
    • Develops models and analytical frameworks used in strategic decision-making
  • Travel: Up to 10%
  • Flex Designation: Anywhere

The anticipated salary range for this position is $98,500-$147,800 depending on location, knowledge, skills, education and experience. This position is also eligible for an annual discretionary bonus. In addition, we offer comprehensive and competitive benefits to Associates (and their families) such as medical, dental, vision, life insurance, short-term and long-term disability. Eligible Associates are able to enroll in our company's 401k plan. Associates will accrue paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays). Paid sick time up to 80 hours per year unless otherwise required by law.
Requirements
Education and Experience
Education Requirements
  • Bachelor's degree in data science, Statistics, Economics, Mathematics, Computer Science, or related field from a nationally recognized institution. Master's degree preferred
Years of Experience
  • 5 to 8 plus years of experience in data science, analytics, or quantitative modeling, preferably in retail, real estate, consulting, or related fields.
Skills
  • Strong proficiency in Python (pandas, scikit-learn, etc.) and SQL for data analysis and modeling.
  • Experience building predictive models and applying statistical techniques to business problems.
  • Experience working with cloud-based platforms (Databricks, Snowflake, Azure)
  • Familiarity with geospatial analysis and GIS concepts, including trade area modeling, spatial statistics, and network-based analysis (experience with ESRI or similar tools preferred).
  • Experience working with large, complex datasets from multiple sources.
  • Experience with BI and visualization tools (Tableau, Power BI, etc.).
  • Strong understanding of experimental design and statistical inference.
  • Ability to communicate complex analyses clearly to non-technical stakeholders.
  • Strong problem-solving skills and business acumen.
Physical Requirements
Corporate - Remote - General office environment requiring ability to:
  • Stand, walk, sit for extended periods of time .
  • Speak and listen to others in person and over the phone and video conferencing.
  • Use keyboard and read from computer screen and reports.
  • The ability to lift up to 15 lbs.
Safety
Must be able to perform this job safely in accordance with standard operating procedures and good manufacturing practices, without endangering the health or safety of self or others.
About Harbor Freight Tools
We're a 45 year-old, $8 billion national tool retailer with the energy, enthusiasm, and growth potential of a start-up. We have over 1,600 stores in 48 states across the country and are opening several new locations every week. We offer our customers more than 7,000 tools and accessories, from hand tools and generators to air and power tools, from shop equipment to automotive tools. We provide our customers with the right tool for the right job at the right price, always delivering quality and value.

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