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Internship Remote Health Data Analyst Jobs in Rancho Cucamonga, 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 ...

Analyzes complex data sets and trends to develop and refine forecasting models, stocking strategies ... This is a remote position that can be located anywhere in the United States, with the exception of ...

New

... or data visualization tools · Knowledge of County behavioral health systems, public behavioral ... Remote/Hybrid Travel required up to approximately 30% for meetings, training, program support, and ...

Revenue Cycle Operations Analyst

Orange, CA · On-site +1

$85K - $95K/yr

... or data visualization tools · Knowledge of County behavioral health systems, public behavioral ... Remote/Hybrid Travel required up to approximately 30% for meetings, training, program support, and ...

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Internship Remote Health Data Analyst information

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$12

$22

$42

How much do internship remote health data analyst jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for internship remote health data analyst in Rancho Cucamonga, CA is $23.00, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $25.05 per hour, depending on experience, location, and employer.

What is a remote health data analyst internship?

A remote health data analyst internship is a temporary, often entry-level position where interns work from a remote location to analyze healthcare-related data. Interns in this role typically assist in collecting, cleaning, and interpreting health data to support research, policy decisions, or healthcare operations. The position provides hands-on experience with data analysis tools and methodologies specific to the healthcare industry, such as electronic health records, medical claims, and public health data. This internship is ideal for students or recent graduates interested in combining data analytics with healthcare. Remote internships offer flexibility and the opportunity to work with organizations regardless of geographic location.

What types of projects or datasets might I work with as a remote health data analyst intern?

As a remote health data analyst intern, you may work on projects involving electronic health records, clinical trial data, or public health datasets. These projects often include tasks such as cleaning and organizing raw data, performing statistical analyses, and creating visualizations to uncover trends or insights. You’ll likely collaborate with other data analysts, healthcare professionals, and IT staff to ensure data quality and relevance. This experience provides an excellent opportunity to apply academic knowledge to real-world health challenges and build valuable technical and teamwork skills.

What are the key skills and qualifications needed to thrive as a remote health data analyst intern, and why are they important?

To thrive as an Internship Remote Health Data Analyst, you need foundational skills in data analysis, statistics, and familiarity with healthcare terminology, often supported by coursework in public health, informatics, or a related field. Proficiency with analytical tools like Excel, SQL, Python, or data visualization platforms, as well as experience using electronic health record (EHR) systems, is typically required. Strong attention to detail, problem-solving abilities, and clear communication skills help interns interpret data accurately and share insights with teams. These skills are crucial for ensuring data-driven decision-making and supporting healthcare organizations in improving patient outcomes.

What is the difference between Internship Remote Health Data Analyst vs Remote Health Data Coordinator?

AspectInternship Remote Health Data AnalystRemote Health Data Coordinator
CredentialsTypically pursuing or recent graduate in health informatics, data science, or related fieldsUsually requires experience in data management, health information systems, or related certifications
Work EnvironmentRemote internship, often part-time, supervised by professionalsRemote or hybrid, responsible for data organization and quality control
Employer & Industry UsageHospitals, healthcare providers, research institutionsHealthcare organizations, clinics, health IT companies

The main difference is that an Internship Remote Health Data Analyst is an entry-level, temporary position focused on learning and supporting data analysis tasks, while a Remote Health Data Coordinator handles ongoing data management and quality assurance responsibilities in a healthcare setting.

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

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

What cities near Rancho Cucamonga, CA are hiring for Internship Remote Health Data Analyst jobs?

Cities near Rancho Cucamonga, CA with the most Internship Remote Health Data Analyst job openings:

Infographic showing various Internship Remote Health Data Analyst job openings in Rancho Cucamonga, CA as of August 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 10% In-person, and 90% Remote job distribution, with an average salary of $47,835 per year, or $23 per hour.

Full-time

Re-posted 16 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.