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Entry Level Healthcare Data Analyst Jobs in San Ramon, CA

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ... Health insurance coverage for you and your dependents * 401K, FSA, and commuter benefits * $150 ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ... Health insurance coverage for you and your dependents * 401K, FSA, and commuter benefits * $150 ...

Company located in Alameda, California has an immediate need for a Business Analyst, Healthcare Payer for a direct hire position. Candidate will report to the Manager of Applications. The Business ...

Showing results 41-60

Entry Level Healthcare Data Analyst information

See San Ramon, CA salary details

$14

$36

$69

How much do entry level healthcare data analyst jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level healthcare data analyst in San Ramon, CA is $36.80, according to ZipRecruiter salary data. Most workers in this role earn between $23.65 and $41.11 per hour, depending on experience, location, and employer.

What does an entry level healthcare data analyst do?

An Entry Level Healthcare Data Analyst is responsible for collecting, processing, and analyzing healthcare data to help organizations make informed decisions. They work with large datasets related to patient care, billing, and hospital operations, using statistical tools and software to identify trends and generate reports. Their work supports improvements in patient outcomes, operational efficiency, and regulatory compliance. Entry-level analysts typically collaborate with more experienced data professionals and healthcare staff to ensure data integrity and accuracy.

What are the key skills and qualifications needed to thrive as an entry level healthcare data analyst?

To thrive as an Entry Level Healthcare Data Analyst, you need a solid grounding in statistics, data analysis, and healthcare concepts, usually backed by a bachelor’s degree in health informatics, statistics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and electronic health record (EHR) systems is typically required. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data and present findings clearly to non-technical stakeholders. These abilities are crucial for transforming complex healthcare data into actionable insights that drive better patient outcomes and organizational efficiency.

What are some common challenges faced by entry level healthcare data analysts, and how can they be addressed?

Entry level healthcare data analysts often face challenges such as navigating complex healthcare data systems, ensuring data accuracy, and understanding industry-specific regulations like HIPAA. To overcome these obstacles, new analysts should focus on developing strong technical skills in data management tools, actively seek mentorship from experienced colleagues, and stay updated on healthcare compliance standards. Regular collaboration with clinical and IT teams also helps bridge knowledge gaps and fosters a more comprehensive understanding of how data impacts patient care and operational decisions.

What is the difference between Entry Level Healthcare Data Analyst vs Healthcare Data Coordinator?

AspectEntry Level Healthcare Data AnalystHealthcare Data Coordinator
Required CredentialsBachelor's in health informatics, data science, or related field; basic knowledge of healthcare data systemsBachelor's in health information management or related field; familiarity with healthcare data management
Work EnvironmentHealthcare facilities, clinics, or health IT companies; focus on data analysis and reportingHospitals or clinics; managing data entry, organization, and compliance
Employer & Industry UsageUsed across healthcare providers, insurance companies, and health IT firmsPrimarily in hospitals and healthcare organizations for data management

While both roles involve working with healthcare data, the Entry Level Healthcare Data Analyst focuses on analyzing and interpreting data to support decision-making, whereas the Healthcare Data Coordinator handles data entry, organization, and ensuring data accuracy. The analyst role typically requires more analytical skills, while the coordinator role emphasizes data management and compliance.

Can I become an entry level healthcare data analyst with no experience?

Entry level healthcare data analysts typically need some familiarity with data analysis tools like Excel, SQL, or statistical software, but many employers accept candidates with relevant coursework or certifications rather than extensive experience. Developing skills through online courses, internships, or certifications can help you qualify for entry-level positions even without prior work experience.

Can you be an entry level healthcare data analyst in healthcare?

Yes, entry-level healthcare data analysts can work in healthcare settings, often requiring basic knowledge of data analysis tools like Excel or SQL, and understanding of healthcare data and terminology. Many positions are open to candidates with relevant internships, certifications, or degrees in health informatics, data science, or related fields. Strong analytical skills and attention to detail are essential for entry-level roles in this field.

How to become an entry level healthcare data analyst with no experience?

To become an entry-level healthcare data analyst with no experience, focus on gaining foundational skills in data analysis, such as proficiency in Excel, SQL, and data visualization tools like Tableau or Power BI. Pursuing relevant certifications, such as the Certified Health Data Analyst (CHDA), and completing online courses or internships can also improve your qualifications and understanding of healthcare data environments.

What are popular job titles related to Entry Level Healthcare Data Analyst jobs in San Ramon, CA?

For Entry Level Healthcare Data Analyst jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Healthcare Data Analyst jobs in San Ramon, CA look for?

The top searched job categories for Entry Level Healthcare Data Analyst jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Entry Level Healthcare Data Analyst jobs?

Cities near San Ramon, CA with the most Entry Level Healthcare Data Analyst job openings:

Infographic showing various Entry Level Healthcare Data Analyst job openings in San Ramon, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $76,536 per year, or $36.8 per hour.

Epic Systems Implementation Analyst

Triune Infomatics Inc

Oakland, CA • On-site

Other

Re-posted 15 days ago


Job description

Role: Epic Systems Implementation Analyst 

Location: Oakland, CA 

Duration: 6+ months 

Summary: The Epic Systems Implementation Analyst plays a critical role in the planning, design, implementation, and optimization of Epic Electronic Health Record (EHR) systems within healthcare organizations. This position collaborates with clinical, administrative, and IT teams to ensure the Epic system aligns with organizational goals, supports efficient workflows, and enhances patient care delivery. The Implementation Analyst is responsible for configuring, testing, and supporting Epic modules during implementation projects, ensuring compliance with healthcare regulations and best practices. 

Key Responsibilities: 

  • System Implementation: Collaborate with cross-functional teams to plan, design, and execute the implementation of Epic EHR modules, tailoring configurations to meet clinical and operational needs. 

  • Workflow Analysis: Analyze existing healthcare workflows, identify inefficiencies, and recommend solutions to optimize processes within the Epic system. 

  • Configuration and Customization: Configure Epic applications to align with departmental requirements, ensuring adherence to industry standards and organizational goals. 

  • Data Migration and Validation: Assist in data conversion, migration, and validation to ensure accurate and secure transfer of information during implementation. 

  • Testing and Quality Assurance: Develop and execute test plans, including scripts and user acceptance testing, to validate system functionality and resolve issues. 

  • Training and Support: Provide end-user training, create documentation, and offer ongoing support during and after go-live to ensure successful adoption. 

  • Troubleshooting: Monitor system performance, troubleshoot issues, and coordinate with Epic technical support and vendors to resolve complex problems. 

  • Compliance and Security: Ensure configurations comply with HIPAA and other healthcare data privacy and security regulations. 

  • Project Coordination: Participate in project planning, maintain status reports, and communicate progress to stakeholders, ensuring timely delivery of implementation milestones. 

  • System Optimization: Identify opportunities for enhancements post-implementation, recommending updates or new features to improve user experience and operational efficiency. 

Qualifications: 

  • Education: Bachelor’s degree in healthcare informatics, computer science, computer engineering, information technology, or a related field. 

  • Experience: 2+ years of full-time experience in working with Epic EHR systems, including implementation, configuration, or support. Prior healthcare IT or clinical operations experience is preferred. 

  • Certifications: Epic certification in relevant modules (e.g., Ambulatory, Inpatient, Beaker, or Revenue Cycle) required within 6 months of hire. Certification in healthcare IT (e.g., HIT) is a plus. 

  • Technical Skills: Proficiency in Epic system configuration, data analysis, and reporting tools. Knowledge of SQL or similar query languages is a plus. 

  • Analytical Skills: Strong problem-solving and analytical abilities to assess workflows and translate requirements into system solutions. 

  • Communication Skills: Excellent verbal and written communication skills to collaborate with diverse stakeholders, including clinicians, administrators, and IT teams. 

  • Regulatory Knowledge: Familiarity with HIPAA, healthcare workflows, and clinical operations. 

  • Adaptability: Ability to manage multiple projects in a fast-paced environment and stay current with Epic updates and industry trends.