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Healthcare Data Technology Jobs (NOW HIRING)

Astiva Health

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

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 ...

Cyber Resource

Healthcare Data Analyst

Richmond, VA · On-site

... Health Record system, and clinical data needs. Candidate must be able to work on site. Local ... care setting · Demonstrated ability to communicate clinical and data findings clearly to non ...

Firstsource

$17/hr

Job Title: Healthcare Data Entry Specialist Location: This is an ONSITE position at our Louisville facility located at 10400 Linn Station Road Suite 100 Schedule: Monday-Friday 8am - 4:30 pm EST Pay ...

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How much do healthcare data technology jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for healthcare data technology in the United States is $35.52, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $48.32 per hour, depending on experience, location, and employer.

What is the difference between Healthcare Data Technology vs Healthcare Data Analyst?

AspectHealthcare Data TechnologyHealthcare Data Analyst
Required CredentialsDegree in Health Informatics, IT, or related field; certifications like Certified Healthcare Technology Specialist (CHTS)Degree in Health Informatics, Data Science, or related field; certifications like Certified Health Data Analyst (CHDA)
Work EnvironmentHealthcare IT departments, hospitals, clinics, health tech companiesHospitals, clinics, research institutions, healthcare consulting firms
Employer & Industry UsageFocuses on implementing and managing healthcare technology systemsAnalyzes healthcare data to improve patient outcomes and operational efficiency

Healthcare Data Technology professionals focus on deploying and maintaining healthcare IT systems, while Healthcare Data Analysts interpret data to support decision-making. Both roles require similar educational backgrounds and certifications but serve different functions within the healthcare industry.

What is healthcare data technology?

Healthcare data technology involves the use of digital tools, software, and systems to collect, store, analyze, and manage health information. Professionals in this field often work with electronic health records (EHRs), data analytics, and health informatics to improve patient care and operational efficiency.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing medical data to improve patient outcomes and operational efficiency. It requires skills in data management, statistical analysis, and familiarity with healthcare systems and tools like SQL and Python. The demand for professionals in this area is increasing due to the expansion of electronic health records and value-based care models.

What are some common challenges faced by professionals in Healthcare Data Technology roles, and how can they be addressed?

Professionals in Healthcare Data Technology often encounter challenges such as integrating disparate data systems, ensuring patient data privacy, and keeping up with rapidly evolving health IT standards. Effective communication with clinical and administrative teams is essential to understand data needs and workflows. Addressing these challenges typically involves ongoing training in compliance regulations like HIPAA, adopting interoperable systems, and fostering a collaborative environment to bridge gaps between IT and healthcare staff.

What are the key skills and qualifications needed to thrive in Healthcare Data Technology, and why are they important?

To thrive in Healthcare Data Technology, you need a solid background in data analysis, healthcare informatics, and database management, typically supported by a degree in computer science, information systems, or health informatics. Familiarity with tools such as SQL, Python, EHR systems, and certifications like Certified Health Data Analyst (CHDA) are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for ensuring data accuracy and collaborating with clinical teams. These competencies are essential for optimizing healthcare delivery, maintaining data integrity, and supporting informed decision-making in a highly regulated environment.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts analyze medical data to improve patient outcomes and operational efficiency. While AI tools can automate data processing and basic analysis, human analysts are needed for interpreting complex insights, making strategic decisions, and ensuring data accuracy. The role is expected to evolve with technology, emphasizing skills in data management, statistical analysis, and healthcare knowledge.

What is the highest paying healthcare tech job?

In healthcare data technology, senior roles such as Healthcare Data Architects or Chief Data Officers tend to have the highest salaries, often exceeding $150,000 annually. These positions require advanced skills in data management, analytics, and often certification in health informatics or related fields.
More about Healthcare Data Technology jobs
What job categories do people searching Healthcare Data Technology jobs look for? The top searched job categories for Healthcare Data Technology jobs are:
Healthcare Data Technology jobs near you
Infographic showing various Healthcare Data Technology job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $73,875 per year, or $35.5 per hour.
Healthcare Data Analyst

Healthcare Data Analyst

Astiva Health

Orange, CA • On-site

$85K - $115K/yr

Other

Re-posted 3 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.

Apply