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Remote Real Estate Data Analyst Jobs in Rancho Cucamonga, CA

Customer Service Manager

Corona, CA · On-site +1

$89K - $165K/yr

... Commercial Real Estate industry. As a full-time employee, you will have the opportunity to work ... Ability to analyze data and identify areas for improvement * Proficiency in customer service ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Showing results 21-40

Remote Real Estate Data Analyst information

See Rancho Cucamonga, CA salary details

$34.7K

$84.5K

$139K

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

As of Sep 4, 2026, the average yearly pay for remote real estate data analyst in Rancho Cucamonga, CA is $84,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $99,100.00 per year, depending on experience, location, and employer.

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.

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.

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 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 are popular job titles related to Remote Real Estate Data Analyst jobs in Rancho Cucamonga, CA?

For Remote Real Estate Data Analyst jobs in Rancho Cucamonga, CA, the most frequently searched job titles are:

What job categories do people searching Remote Real Estate Data Analyst jobs in Rancho Cucamonga, CA look for?

The top searched job categories for Remote Real Estate Data Analyst jobs in Rancho Cucamonga, CA are:

What cities near Rancho Cucamonga, CA are hiring for Remote Real Estate Data Analyst jobs?

Cities near Rancho Cucamonga, CA with the most Remote Real Estate Data Analyst job openings:

Customer Service Manager

The Clark Team

Corona, CA • On-site, Remote

$89K - $165K/yr

Full-time

Re-posted 20 days ago


Job description

Description

The Clark Team is seeking an Associate Customer Service Manager to join our team in the Commercial Real Estate industry. As a full-time employee, you will have the opportunity to work remotely from Corona. We are looking for a dedicated individual who is passionate about providing exceptional customer service and managing a team effectively. If you are ready to take on a challenging role in a dynamic work environment, we encourage you to apply!

Responsibilities:
  • Oversee and lead the customer service team to ensure high levels of customer satisfaction
  • Develop and implement strategies to improve customer service processes and procedures
  • Handle escalated customer inquiries and provide resolutions in a timely manner
  • Train, mentor, and coach customer service representatives to enhance their skills and performance
  • Monitor team performance metrics and generate reports for management review
Requirements:
  • Proven experience in a customer service management role
  • Excellent communication and interpersonal skills
  • Strong leadership abilities with a focus on team development
  • Ability to analyze data and identify areas for improvement
  • Proficiency in customer service software and CRM systems
  • Detail-oriented with a customer-centric approach