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Lab Data Analyst Jobs in California (NOW HIRING)

Analyze medical and pharmacy claims, membership, supplement, lab, risk adjustment, and encounter data to support Medicare Advantage quality, risk, and operational programs. * Develop and maintain ...

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

Analyze medical and pharmacy claims, membership, supplement, lab, risk adjustment, and encounter data to support Medicare Advantage quality, risk, and operational programs. * Develop and maintain ...

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

Analyze medical and pharmacy claims, membership, supplement, lab, risk adjustment, and encounter data to support Medicare Advantage quality, risk, and operational programs. * Develop and maintain ...

Quality Analyst - CLS

Goleta, CA · On-site

$57.73 - $88.05/hr

Creates a system wide approach to lab data analytics and report distribution to generate improvement in patient care. QUALIFICATIONS: All job qualifications listed indicate the minimum level ...

Analyst, Data & Analytics

Long Beach, CA · On-site +1

$49K - $107K/yr

Works with complex datasets including claims, pharmacy, lab, and operational data to design, develop, validate, and maintain reports, dashboards, and analytical tools. Partners with internal teams to ...

Lab Technician - Newark, CA

Newark, CA

$21.25 - $28.50/hr

... lab data Conducting analytical tests using a variety of instruments Develop and assist in developing analytical instruments and methods Additional duties as assigned. Required for All Jobs Performs ...

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Lab Data Analyst information

See California salary details

$10

$27

$47

How much do lab data analyst jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for lab data analyst in California is $27.12, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $32.26 per hour, depending on experience, location, and employer.

What does a laboratory analyst do?

A laboratory analyst conducts tests and analyzes samples to ensure quality, safety, and compliance with standards. They use laboratory equipment, follow protocols, and document results accurately, often working with chemicals, biological materials, or materials testing tools.

Is a data analyst a high paid job?

Data analysts, including lab data analysts, typically earn competitive salaries that vary by experience, industry, and location. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries can increase significantly with experience and certifications. Overall, data analysis is considered a well-paying profession within the data and science fields.

What is the role of a lab data analyst?

A lab data analyst is responsible for collecting, processing, and analyzing data generated from laboratory experiments and tests. They ensure data accuracy, interpret results, and often use software tools like Excel or specialized statistical programs to support research and quality control efforts.

What does a Lab Data Analyst do?

A Lab Data Analyst is responsible for collecting, processing, and analyzing data generated in a laboratory setting. They ensure data accuracy, interpret results, and generate reports to support research, quality control, or regulatory compliance. Their role often involves working with lab instruments, databases, and statistical software to identify trends and insights. Additionally, they collaborate with scientists, engineers, and other professionals to improve processes and ensure data integrity.

What does a typical workday look like for a Lab Data Analyst?

A typical day for a Lab Data Analyst involves collecting, processing, and analyzing laboratory data to ensure accuracy and compliance with quality standards. You'll collaborate closely with laboratory technicians and scientists to interpret results, generate reports, and provide data-driven insights for ongoing projects or research. Most of your time will be spent working with digital data systems and reviewing results, but you may also be involved in troubleshooting data discrepancies or optimizing data workflows. The role is dynamic and often requires balancing multiple tasks, such as participating in team meetings, documenting findings, and supporting process improvements.

Is 40 too late for data science?

For a Lab Data Analyst or similar data-related roles, starting a career at 40 is not too late. Many employers value experience, analytical skills, and proficiency with tools like Excel, SQL, or Python, which can be developed at any age. Continuous learning and relevant certifications can enhance job prospects regardless of age.

What are the key skills and qualifications needed to thrive in the Lab Data Analyst position, and why are they important?

To thrive as a Lab Data Analyst, you need strong analytical skills, attention to detail, and a degree in a relevant field such as biology, chemistry, or data science. Familiarity with laboratory information management systems (LIMS), statistical analysis software, and data visualization tools like Excel or Tableau is typically required, and certifications in data analysis are a plus. Excellent problem-solving abilities, communication skills, and the capacity to work collaboratively with scientists and technicians will help you stand out. These competencies ensure accurate data interpretation, effective reporting, and successful teamwork within laboratory environments.

What are the most commonly searched types of Lab Data Analyst jobs in California? The most popular types of Lab Data Analyst jobs in California are:
What are popular job titles related to Lab Data Analyst jobs in California? For Lab Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Lab Data Analyst jobs in California look for? The top searched job categories for Lab Data Analyst jobs in California are:
What cities in California are hiring for Lab Data Analyst jobs? Cities in California with the most Lab Data Analyst job openings:
Infographic showing various Lab Data Analyst job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $56,417 per year, or $27.1 per hour.
Healthcare Data Analyst

$85K - $115K/yr

Other

Posted 7 days ago


Job description

Description

About Us:

Astiva Health, Inc., located in Orange, CA is a premier healthcare provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.


SUMMARY:

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical, operational, and financial decision-making within Medicare Advantage programs. This role focuses on key areas including risk adjustment, quality measures (HEDIS and Star Ratings), pharmacy adherence, and claims analysis. 

The analyst collaborates with clinical, quality, pharmacy, and provider teams to identify trends, monitor program performance, and support CMS regulatory reporting. The role also includes developing automated data workflows and reporting solutions that deliver timely, actionable insights across the organization.


ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:


Data Analysis & Reporting

  • Analyze medical and pharmacy claims, membership, supplement, lab, risk adjustment, and encounter data to support Medicare Advantage quality, risk, and operational programs.
  • Develop and maintain dashboards and reports for HEDIS, Star Ratings, medication adherence, RAF/HCC performance, and EDPS encounter data.
  • Identify trends, care gaps, and performance opportunities to support quality improvement, pharmacy initiatives, and risk adjustment efforts.
  • Provide analytics and reporting to MSOs/IPAs and internal teams, including quality, pharmacy, and risk adjustment.
  • Support regulatory and CMS-related analyses, including encounter data monitoring, claims acceptance, and HCC performance.
  • Deliver consolidated reporting and insights to leadership for strategic decision-making.
  • Examine payments, cost of care, and utilization data to produce metrics for bid submission and JOMs or to address concerns from business partners.
  • Support ad hoc reporting needs across the organization.

Data Quality & Validation

  • Validate and reconcile claims, pharmacy, provider, membership, supplement, and lab data to ensure accuracy and completeness.
  • Investigate and resolve data discrepancies, anomalies, and reporting issues across Medicare Advantage data sources.

Technical & Database Work

  • Write and optimize SQL queries and stored procedures for data extraction, transformation, and analysis.
  • Develop automated ETL workflows and data pipelines to support ongoing reporting needs.
  • Work with large datasets in SQL Server and healthcare analytics platforms.
  • Build dashboards and data visualizations using Power BI or SSRS.
  • Utilize tools such as SQL Server, SSIS, Power BI, SSRS, Python, and Excel.

Collaboration

  • Partner with clinical, pharmacy, quality, enrollment, credentialing, and finance teams to interpret results and support program initiatives.
  • Assist with regulatory and compliance-related reporting requirements.
  • Present findings and insights to both technical and non-technical stakeholders

Requirements

Required Qualifications

  • Bachelor's degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related field.
  • 2-5+ years of healthcare data analytics experience.
  • Knowledge of Medicare Advantage programs, HEDIS, and/or CMS Star Ratings.
  • Advanced SQL skills for querying and analyzing large datasets.
  • Experience with BI tools such as Power BI, SSRS, or similar tools.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

  • Experience working in Medicare Advantage organizations, MSOs, or managed care settings.
  • Knowledge of HCC risk adjustment, RAF methodologies, capitation payment model, DOFR, claim processing, bid design, and CMS regulatory requirements.
  • Experience analyzing pharmacy adherence metrics (e.g., PDC).
  • Familiarity with EDPS encounter data, claims submissions, and acceptance processes.
  • Experience with ETL tools (e.g., SSIS) or programming languages such as Python or .NET.