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Health Data Analytics Jobs in Massachusetts (NOW HIRING)

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 from ...

Senior Software Developer, Data Analytics

Bedford, MA · On-site

$57.25 - $75.75/hr

Knowledge of data analytics in the heathcare industry. Software languages and big data technologies needed include: Java, Python, R, C#, C, SAS, analytic engines, Hadoop, parallelized analytic ...

Senior Health Data Consultant

Boston, MA · On-site +1

$120K - $160K/yr

About the Role: We're looking for a Senior Health Data Consultant to partner closely with our ... This is a client-facing, analytics-driven role focused on pricing consultations, AI model adoption ...

As a healthcare analyst, you will be performing research/analysis based on the client data followed by contribution in internal projects. On the whole your going to be a passionate player in using ...

As a healthcare analyst, you will be performing research/analysis based on the client data followed by contribution in internal projects. On the whole your going to be a passionate player in using ...

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Health Data Analytics information

See Massachusetts salary details

$26

$59

$103

How much do health data analytics jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for health data analytics in Massachusetts is $59.79, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $67.74 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.

What are the key skills and qualifications needed to thrive as a health data analyst?

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.

How do I become a health data analyst?

To become a health data analyst, you typically need a bachelor's degree in health informatics, statistics, or a related field. Developing skills in data analysis tools like SQL, Excel, and statistical software, along with understanding healthcare systems and data privacy regulations, is essential. Gaining relevant experience through internships or certifications can also improve job prospects.

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 requires skills in statistics, data management, and tools like SQL and Python, with certifications often enhancing job prospects. The demand for professionals in this area is increasing due to the expansion of electronic health records and data-driven decision making.

What do data analysts do in healthcare?

Health data analysts collect, process, and interpret healthcare data to identify trends, improve patient outcomes, and support decision-making. They use tools like Excel, SQL, and statistical software, and often work with electronic health records and healthcare databases to ensure data accuracy and compliance with privacy regulations.

What are popular job titles related to Health Data Analytics jobs in Massachusetts?

For Health Data Analytics jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Health Data Analytics jobs in Massachusetts look for?

The top searched job categories for Health Data Analytics jobs in Massachusetts are:

Infographic showing various Health Data Analytics job openings in Massachusetts as of August 2026, with employment types broken down into 2% As Needed, 80% Full Time, 13% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $124,364 per year, or $59.8 per hour.

Health Data Analytics Engineer

Bedford, MA


Mitre
IT Services • 5 - 10K employees

8.2

Company rating: 8.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

163rd of 450 rated engineering

People enjoy working here

Good employer

Respectful managers


$120K - $144K/yr

Full-time

Re-posted 12 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. 
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About MITRE

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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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Hours and flexibility

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