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Remote Healthcare Data Analyst Jobs in Riverside, CA

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing ...

Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

Who holds consulting experience in US Healthcare Payer market! Who holds 2+ years' experience in US Payer operations & US Payer system implementations! Who is experienced in systems and processes ...

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Electronic Health Records (EHR) Analyst This is a full time job, Contract to hire with a client at ... client care. The EHR Analyst evaluates system performance, implements enhancements, manages data ...

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Remote Healthcare Data Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

How much do remote healthcare data analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote healthcare data analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

What does a remote healthcare data analyst do?

A Remote Healthcare Data Analyst is responsible for collecting, processing, and analyzing healthcare data to help organizations make informed decisions. They work from a remote location, using data analytics tools to interpret trends, identify patterns, and generate reports that support healthcare providers, insurance companies, or government agencies. Their work helps improve patient outcomes, optimize operations, and ensure regulatory compliance. Strong analytical, technical, and communication skills are essential for this role.

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

To thrive as a Remote Healthcare Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and a degree in health informatics, statistics, or a related field. Experience with data analysis tools like SQL, Python, Excel, and familiarity with healthcare databases and HIPAA compliance are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for presenting insights and collaborating remotely. These skills ensure accurate data interpretation, support evidence-based decisions, and facilitate secure, efficient operations in a virtual healthcare environment.

How does a remote healthcare data analyst typically collaborate with clinical teams, and what tools are commonly used for effective remote communication?

Remote Healthcare Data Analysts frequently work with clinical teams to interpret data trends and support decision-making. Collaboration usually happens through virtual meetings, secure messaging platforms, and shared dashboards. Tools like Microsoft Teams, Slack, and HIPAA-compliant data sharing systems are commonly used to ensure secure and efficient communication. Building strong relationships and maintaining clear, consistent updates are key to overcoming the challenges of remote work and ensuring seamless teamwork.

Can remote healthcare data analysts work from home?

Yes, remote healthcare data analysts often work from home, utilizing tools like data analysis software and secure networks. They typically need strong analytical skills, familiarity with electronic health records, and reliable internet access to perform their duties effectively.

Is it possible to get a remote job as a healthcare data analyst?

Yes, healthcare data analyst roles are often available as remote positions, especially with the increasing use of digital health records and data analysis tools like SQL and Excel. Employers typically require strong analytical skills, knowledge of healthcare data standards, and relevant certifications such as Certified Health Data Analyst (CHDA).

Is there a demand for remote healthcare data analysts?

Remote healthcare data analysts are in high demand due to the increasing use of electronic health records and data-driven decision-making in healthcare. Employers seek professionals skilled in data analysis tools like SQL, Excel, and visualization software, often requiring knowledge of healthcare regulations and certifications such as HEDIS or HIPAA compliance.

What are the most commonly searched types of Healthcare Data Analyst jobs in Riverside, CA?

The most popular types of Healthcare Data Analyst jobs in Riverside, CA are:

What are popular job titles related to Remote Healthcare Data Analyst jobs in Riverside, CA?

For Remote Healthcare Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Remote Healthcare Data Analyst jobs in Riverside, CA look for?

The top searched job categories for Remote Healthcare Data Analyst jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Healthcare Data Analyst jobs?

Cities near Riverside, CA with the most Remote Healthcare Data Analyst job openings:

Infographic showing various Remote Healthcare Data Analyst job openings in Riverside, CA as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $86,216 per year, or $41.5 per hour.

Full-time

Re-posted 14 days ago


Job description

REMOTE - US Residents Only
We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing, and analysis; these will affect strategic corporate decisions. By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who enjoys statistics, enjoys solving issues, and enjoys using analytics to provide value, this is an amazing opportunity.

Main Activities:

By gathering, cleansing, and evaluating large datasets, find trends, patterns, and insights.

Create and update easy-to-use dashboards and reports to properly communicate findings to nontechnical stakeholders.

Analyze facts and come to decisions to support corporate strategy, process improvement, and decision-making.

Create and carry out ad hoc research to satisfy the needs of several divisions of the business.

Work with groups to create key performance indicators (KPIs) and to pinpoint critical metrics for ongoing observation.

Foretell outcomes and identify areas of expansion using statistical tools and data modeling.

Staying current with industry trends, best practices, and new technologies helps one to make sure that data analysis processes are continually being enhanced.

Automating repetitious data processes will help to simplify processes and increase efficiency.

Look for discrepancies and propose corrections to confirm data is accurate and full.

Needed Competencies:

Verified background in business analysis, data analysis, or any allied subject.

ability to effectively examine data with programs and languages including R, Python, SQL, or Excel.

skilled in the application of Tableau and Power BI among data visualization tools.

Mastery in statistical techniques and data modeling.

ability to succinctly and clearly show complex data results to viewers ranging in knowledge from professionals to laypeople.

Superior analytical and problem-solving skills; exacting.

competent of properly scheduling one's time, creating priorities, and finishing projects on schedule.

Work experience in a quantitative field like mathematics, statistics, computer science, economics, etc. or education in such areas.

Our offerings comprise:

a workplace supportive of innovative ideas and group projects.

Prospects for lifelong learning and professional development.

Reasonably affordable benefits and flexible working schedules.

a chance to greatly influence things by basing decisions on statistics.