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Health Data Analytics Jobs (NOW HIRING)

Health Data Analyst (Remote) The Health Data Analyst provides information, analyses, and ... analytics team to deliver recommendations or project status updates to internal and external ...

Sr Health Data Analyst

Seattle, WA · On-site

$97K - $123K/yr

The Sr. Health Data Analyst will assist in the production of performance reports, specialized ... analytics and enhancements to the client reporting system. The Sr. Data Analyst must be an ...

Sr Health Data Analyst

Seattle, WA

$97K - $123K/yr

The Sr. Health Data Analyst will assist in the production of performance reports, specialized ... analytics and enhancements to the client reporting system. The Sr. Data Analyst must be an ...

Five to seven years of progressive work experience in Health Information Management or Health Data Analytics, Health Data Integrity and/or Business Intelligence or other related education and ...

... Analytics, or a related field required Minimum three (3) years' experience managing relational databases to include database management and data analysis Experience working in the Health Care ...

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Health Data Analytics information

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How much do health data analytics jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for health data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is health data analytics?

Health data analytics is the process of examining large sets of healthcare data to uncover patterns, trends, and insights that can help improve patient outcomes and healthcare operations. Professionals in this field use statistical, computational, and analytical methods to interpret data from electronic health records, clinical trials, claims, and other sources. The goal is to support evidence-based decision making, optimize resource allocation, and enhance the quality of care. Health data analysts often work in hospitals, research institutions, insurance companies, and public health organizations.

How much do health data analysts earn?

Health data analysts typically earn a median annual salary of around $65,000 to $80,000, depending on experience, education, and location. Professionals with advanced skills in statistical software, data management, and healthcare knowledge can earn higher salaries, especially in specialized or senior roles.

What are the key skills and qualifications needed to thrive as a Health Data Analyst, and why are they important?

To thrive as a Health Data Analyst, you need a solid background in statistics, data analysis, and health informatics, often supported by a degree in a related field such as public health, statistics, or computer science. Proficiency with analytical tools like SQL, Python, R, and healthcare data systems (e.g., EHRs, HL7) is typically required, and certifications like Certified Health Data Analyst (CHDA) can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help translate complex data into actionable healthcare insights. These skills enable analysts to improve patient outcomes, support decision-making, and drive efficiency within healthcare organizations.

What are some common challenges faced by professionals working in Health Data Analytics, and how can they be managed?

Professionals in Health Data Analytics often encounter challenges such as managing large volumes of sensitive patient data, ensuring data privacy and compliance with regulations like HIPAA, and integrating data from multiple sources with varying formats and quality. Addressing these issues requires strong technical skills, attention to detail, and collaboration with IT, clinical, and compliance teams. Continuous learning about new analytics tools and regulatory changes also helps professionals stay effective and maintain data integrity.

What is the difference between Health Data Analytics vs Health Data Analysis?

AspectHealth Data AnalyticsHealth Data Analysis
Required SkillsData analysis, statistical skills, knowledge of healthcare dataData interpretation, statistical skills, healthcare knowledge
Tools & SoftwareAnalytics platforms, programming languages (Python, R)Excel, statistical software, visualization tools
Work EnvironmentData teams, healthcare organizations, research institutionsHealthcare providers, research settings, hospitals
FocusExtracting insights from large datasets, predictive modelingInterpreting data results, reporting findings

Health Data Analytics involves using advanced tools and techniques to extract insights from large healthcare datasets, often focusing on predictive modeling and data-driven decision-making. Health Data Analysis emphasizes interpreting healthcare data to inform clinical or operational decisions, typically involving statistical analysis and reporting. Both roles require healthcare knowledge and analytical skills but differ mainly in scope and complexity.

Is healthcare analytics a good career?

Healthcare analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It requires skills in data management, statistical analysis, and familiarity with tools like SQL and Excel, making it a valuable and in-demand career option in the healthcare industry.

What does a data analyst do in healthcare?

A healthcare data analyst collects, processes, and interprets medical and operational data to improve patient outcomes, optimize healthcare delivery, and support decision-making. They use tools like Excel, SQL, and statistical software to identify trends, create reports, and ensure data accuracy, often working closely with clinicians and administrators.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts play a key role in interpreting medical data, and while AI tools can automate routine tasks like data processing and basic analysis, they are unlikely to fully replace analysts. Human expertise is essential for complex decision-making, contextual understanding, and ensuring data accuracy in healthcare environments.
More about Health Data Analytics jobs
What cities are hiring for Health Data Analytics jobs? Cities with the most Health Data Analytics job openings:
What states have the most Health Data Analytics jobs? States with the most job openings for Health Data Analytics jobs include:
Infographic showing various Health Data Analytics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Other

Posted 5 days ago


Job description

Health Data Analyst (Remote)

The Health Data Analyst provides information, analyses, and consultation to internal and external stakeholders. This position assesses the performance of pharmacy benefits and/or networks and develops recommendations for improvements or enhancement to support departmental and organizational objectives. This position will participate in the development of new reports, analytical models, and products/benefit programs that align with strategic imperatives.

Responsibilities

  • Assumes responsibility for moderately complex analytic and consultative work such as analyzing and interpreting client pharmacy benefit data, trends and reports and partnering with analytics team to deliver recommendations or project status updates to internal and external stakeholders; investigates follow up items or questions regarding project and/or request scope
  • Investigates key drivers of benefit performance
  • Create new queries using Alteryx including multiple table joins, understanding of table structures, creation of detailed formulas
  • Participates in development of analytic methodologies, models, reports and new products
  • May be responsible for Centers for Medicaid/Medicare Services reporting and analysis, including the management of directories and bid support
  • Other duties as assigned

Minimum Qualifications

  • Bachelors degree in Mathematics, Finance, or related field, or the equivalent combination of education and/or relevant work experience; HS diploma or GED is required
  • 2 years of experience in pharmacy benefits management, reporting & analytics, benefits consulting, healthcare, financial services or related field
  • Must be eligible to work in the United States without need for work visa or residency sponsorship

Additional Qualifications

  • Advanced Microsoft Excel skills ability to create complete formulas and efficient data manipulation.
  • Intermediate troubleshooting skills, including in-depth client data research, which may involve research and drivers of utilization; understands resources needed and steps/processes on how to complete the problem; able to understand when an issue arises how-to navigate to a resolution
  • Strong PBM industry knowledge; able to articulate the industry trends to clients and the impact of trends and changes to client financials
  • Ability to establish rapport and effectively influence at all levels within an organization
  • Ability to communicate effectively and present complex data to a wide variety of audiences

Preferred Qualifications

  • Knowledge of the PBM (Pharmacy Benefit Management) industry and PBM data; understands key PBM metrics (such as PMPM, generic utilization)
  • Experience working with large sets of pharmacy, claims, medical, and/or financial data
  • Previous experience in a client facing or consultative role
  • Extensive experience using analytic tools; familiarity with Alteryx

Minimum Physical Job Requirements

  • Constantly required to sit, use hands to handle or feel, talk and hear
  • Frequently required to reach with hands and arms
  • Occasionally required to stand, walk and stoop, kneel, and crouch
  • Occasionally required to lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds
  • Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus