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Entry Level Healthcare Data Analyst Jobs in San Ramon, CA

Data Analyst/Engineer

Sunnyvale, CA · On-site

$105K - $110K/yr

Data Analyst/Engineer Who We Are: Quest Global delivers world-class end-to-end engineering ... tech, healthcare, medical devices, rail and semiconductor industries. We are looking for humble ...

Data Analyst/Engineer

Sunnyvale, CA · On-site

$105K - $110K/yr

Data Analyst/Engineer Who We Are: Quest Global delivers world-class end-to-end engineering ... tech, healthcare, medical devices, rail and semiconductor industries. We are looking for humble ...

Data Analyst/Engineer Who We Are: Quest Global delivers world-class end-to-end engineering ... tech, healthcare, medical devices, rail and semiconductor industries. We are looking for humble ...

Data Analyst/Engineer

Sunnyvale, CA · On-site

$105K - $110K/yr

Data Analyst/Engineer Who We Are: Quest Global delivers world-class end-to-end engineering ... tech, healthcare, medical devices, rail and semiconductor industries. We are looking for humble ...

Data Analyst/Engineer Who We Are: Quest Global delivers world-class end-to-end engineering ... tech, healthcare, medical devices, rail and semiconductor industries. We are looking for humble ...

Senior Data Analyst

Pittsburg, CA · On-site

$105 - $115/hr

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data ... healthcare coordination in Canada)Retirement savings plans (e.g., 401(k) in the U.S., RRSP in ...

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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.

Data Analyst/Engineer

Quest Global

Sunnyvale, CA • On-site

$105K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Quest Global rating

7.8

Company rating: 7.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

243rd of 449 rated engineering


Job description

Job Requirements

POSITION: Data Analyst/Engineer

Who We Are:

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.

We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we're eager to hear from you. 

The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:

What You Will Do:

  • Perform root cause analysis on processes and data to identify opportunities for improvement and answer questions
  • Build processes that support data transformation, workload management, data structures, dependency and metadata
  • Perform data validation checks, identify and rectifying errors, and maintaining a quality standard throughout the data's lifecycle. 
  • Explore datasets to identify trends, patterns, and insights. 
  • Perform analysis for stakeholders and other non-technical professionals. Build models to generate actionable insights for making efficient business decisions.
  • Build data pipelines that clean, transform, and aggregate data from disparate sources
  • Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes
  • Streamline data science workflows, adding value to our product offerings and building out the customer lifecycle and retention models
  • SQL proficient (Snowflake), Tableau, Able to do prompt engineering
  • DL (data lakes), ingest the data and transform 
  • be able to deal with large volumes of data
  • ML classification, anomalies, annotation, prediction

What You Will Bring:

  • Create and improve data visualization tools like Tableau & ThoughtSpot
  • Work with Snowflake & it's built in infrastructure, SQL, Python, Excel, & Numbers
  • Experience presentation/project management Tools like Quip, Keynote, Miro, Slack
  • Experience and understanding of machine learning tools like datarobot     
  • Project Management experience
  • to provide support to a wide variety of business teams
  • Good Interpersonal, relationship building, communication and presentation skills

Pay Range: $105,000 - $110,000 per year

Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.

Work Requirements: This role is considered an on-site position located in Sunnyvale, CA.

  • You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.  
  • Shop floor environment, which may include but not limited to extensive walking, and ability to lift up to 40 lbs. 

Travel Requirements: Due to the nature of the work, no travel is required.


Benefits

Benefits:

  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance
  • Employer paid Life Insurance, Short- & Long-Term Disability

Employment Type: FULL_TIME

What Quest Global employees say

Pay

Benefits

Hours and flexibility

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