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Health Data Analytics Jobs (NOW HIRING)

Mitre

Health Data Analytics Engineer

Bedford, MA

$120K - $144K/yr

The ideal candidate has a deep passion for software and technology and prior experience in data science and predictive health analytics. If you love: • Watching the analytics tools you build go ...

Insight

Health Data Analyst

Chicago, IL · On-site

$29.17 - $36.75/hr

A minimum of three to four years of experience in a data analyst role * Bachelor's degree in a healthcare related field, computer science or industrial engineering, preferred. Skills: * Demonstrated ...

Insight

Health Data Analyst

Chicago, IL

$29.17 - $36.75/hr

A minimum of three to four years of experience in a data analyst role * Bachelor's degree in a healthcare related field, computer science or industrial engineering, preferred. Skills: * Demonstrated ...

SRI Tech solutions Inc

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 ...

SRI Tech solutions Inc

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 ...

LMI

Senior Health Data Analyst

Tysons, VA

$92K - $158K/yr

Successful Senior Health Policy Data Analyst demonstrate competency in health data analysis, health policy, project execution, critical thinking, and relationship managementwhile upholding the ...

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Health Data Analytics information

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How much do health data analytics jobs pay per hour?

As of Jul 18, 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.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing medical and patient data to improve healthcare outcomes and efficiency. It offers strong job prospects, competitive salaries, and opportunities to work with tools like SQL, Python, and electronic health records systems. Professionals in this field often need a background in health informatics, statistics, or data science and may pursue certifications to enhance their skills.

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.

What degree do you need to be a health data analyst?

A health data analyst typically needs at least a bachelor's degree in health informatics, statistics, data science, or a related field. Many employers prefer candidates with a master's degree or higher, along with skills in data analysis tools like SQL, R, or Python, and knowledge of healthcare systems and regulations.

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:
What job categories do people searching Health Data Analytics jobs look for? The top searched job categories for Health Data Analytics jobs are:
Health Data Analytics jobs near you
Infographic showing various Health Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Health Data Analytics Engineer

Health Data Analytics Engineer

Mitre

Bedford, MA

$120K - $144K/yr

Full-time

Posted 4 days ago

Job description

Join the MITRE Open Health Services group and hone your trade alongside a growing, cross-disciplinary team in our Bedford, Massachusetts office tackling some of the nation’s biggest challenges in the translation to digital healthcare and patient empowerment.

The ideal candidate has a deep passion for software and technology and prior experience in data science and predictive health analytics. 
If you love: 
• Watching the analytics tools you build go from idea to capability using agile techniques.
• Developing new code and seeing it tested as an integral part of daily operations for the user community. 
• Learning new tools and technologies quickly.
• Processing petabytes of data 

Key Functions:

• Develop tools and libraries that will help team members more efficiently interface with huge amounts of data.
• Contribute to the team’s growing set of development platforms, tools, and processes.
• Work closely with healthcare experts to identify, design and build appropriate datasets for complex experiments and research.
• Decipher the health mission and customer needs and translate into predictive analytics requirements and technical solutions.
• Be passionate about good development practices and a soundboard for design questions.

Required Qualifications: 

• Bachelor's Degree or higher required in CS or applied quantitative field (math/statistics, economics, engineering).
• Demonstrated expertise in problem solving and technical innovation.
• Demonstrated expertise with software architecture & design, data structures and algorithms.
• Experience with very large datasets with knowledge of NOSQL technologies like Hadoop, Impala, HiveQL, Spark, HDFS a must.
• Experience with massively parallel database implementations (Teradata, Aster, Netezza, etc.)
• Ability to write complicated, efficient SQL queries to extract and process data, especially using Postgres. 
• Experience writing stored procedural code (e.g., in PL/SQL or PL/PGSQL). 
• Experience with data analysis, data fusion and integration. 
• Strong analytical skills and comfort with common statistical techniques.
• Experience in delivering software in Java, Ruby, or at least one scripting language (Python, Perl, etc.)
•Familiarity with statistical software (Pandas, Numpy, Sklearn, R, Matlab, SAS).
• Experience with Linux utility commands and shell scripting using Perl, Python or similar. 
• Comfort in agile software development methodology and demonstrated good development practices.

Clearance Statement:

Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Only US citizens are eligible for a security clearance. For this position, MITRE will consider only applicants with security clearances or applicants who are eligible for security clearances.

If interested, please send resume to Ashley Tonkinson at ashley.tonkinson@mitrecareers.com. 
PPR Talent Management Group partners with Brightmove to ensure that only your professional info is safely shared with companies, and your private life stays private. By joining you are indicating that you have read and agree to the Brightmove  Privacy Policy.
 

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About MITRE

Sourced by ZipRecruiter

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us. MITRE is a trusted operator of federally funded research and development centers and we're on a mission to make the world a safer place-for all of humanity, today and in the future. To deliver on our mission, we need the world's best talent and leaders-groundbreakers and partnership-builders on a global scale in areas like healthcare, artificial intelligence, critical infrastructure resiliency, pandemic management, and cybersecurity. In return, we have the privilege of backing you with thousands of technical experts in diverse fields, a culture of innovation and knowledge sharing, access to data and resources uniquely available to MITRE through our wide-ranging partnerships across government, industry and academia.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1958

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