Health Data Analyst Jobs
Health Data Analyst jobs are open across healthcare systems, health insurance, pharmaceuticals, and public health agencies, from entry-level to senior and lead, with specializations in clinical analytics, claims data, and population health. Find a role that fits from the openings below and apply directly.
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Showing 5 of 1,319+ Health Data Analyst jobs
Work You'll Do
As an Analytics and Insights Engineer III on the Cyber and Strategic Risk team, you will be responsible for:
You will support operational technology (OT) cybersecurity missions by developing and sustaining data products that improve cyber threat detection and response. This role focuses on OT cyber analytics, machine learning model development, and data engineering across on-premises and cloud-connected environments. You will serve as the project's primary data science resource and collaborate with delivery, security operations, cloud, and program stakeholders to advance analytic capabilities. The role is differentiated by its ownership of machine learning development and its contribution to OT cyber analytics innovation.
- Develop and sustain OT cyber data ontologies to support analytics, detection, and reporting use cases
- Build, train, test, and maintain machine learning models for OT cyber threat and attack detection
- Design and maintain data pipelines that move sensor and telemetry data from on-premises environments to cloud platforms
- Analyze cyber data to identify patterns, anomalies, and indicators that support security operations and mission objectives
- Collaborate with technical leads, delivery teams, security operations center stakeholders, cloud/data teams, and program management counterparts to implement scalable analytics solutions
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client's technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.
Qualifications
Required:
- Bachelor's degree
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Active Secret security clearance required
- Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
- 5+ years of experience with:
- Data Modeling
- JIRA
- Machine Learning
- Python
- SQL
Work You'll Do
As an Analytics and Insights Engineer III on the Cyber and Strategic Risk team, you will be responsible for:
You will support operational technology (OT) cybersecurity missions by developing and sustaining data products that improve cyber threat detection and response. This role focuses on OT cyber analytics, machine learning model development, and data engineering across on-premises and cloud-connected environments. You will serve as the project's primary data science resource and collaborate with delivery, security operations, cloud, and program stakeholders to advance analytic capabilities. The role is differentiated by its ownership of machine learning development and its contribution to OT cyber analytics innovation.
- Develop and sustain OT cyber data ontologies to support analytics, detection, and reporting use cases
- Build, train, test, and maintain machine learning models for OT cyber threat and attack detection
- Design and maintain data pipelines that move sensor and telemetry data from on-premises environments to cloud platforms
- Analyze cyber data to identify patterns, anomalies, and indicators that support security operations and mission objectives
- Collaborate with technical leads, delivery teams, security operations center stakeholders, cloud/data teams, and program management counterparts to implement scalable analytics solutions
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client's technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.
Qualifications
Required:
- Bachelor's degree
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Active Secret security clearance required
- Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
- 5+ years of experience with:
- Data Modeling
- JIRA
- Machine Learning
- Python
- SQL
Health Data Analyst Jobs by Experience Level
Top Cities Hiring Health Data Analysts
Explore health data analyst openings in the cities hiring most right now.
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Find Health Data Analyst JobsHealth Data Analyst Job Market
Who's Hiring
- JPMorganChase47
- CVS Health29
- Amazon Web Services22
- Capital One21
- Information Technology Senior Management Forum20I
Top Industries Hiring
- Technology & Software67
- Consulting & Professional Services29
- Education25
- Banking & Financial Services22
- Manufacturing18
What Employers Look For
The qualifications that appear most often in health data analyst jobs.
- Proficiency in SQL for querying large healthcare or claims datasets
- Experience with at least one BI or visualization tool such as Tableau or Power BI
- Bachelor's degree in health informatics, statistics, public health, or a related field
- Familiarity with EHR systems such as Epic, Cerner, or similar platforms
- Knowledge of healthcare data standards including ICD-10, CPT codes, and HL7
- Experience with Python, R, or SAS for statistical analysis or data manipulation
Tips for Your Health Data Analyst Job Search
Quantify outcomes in your resume
Health data analyst roles attract heavy competition, so replace vague bullets with measured results. Show how your analysis reduced readmission rates, cut claims processing time, or improved a quality metric. Hiring managers scan for proof of impact, not just tool familiarity.
List your tools clearly and precisely
Employers filter for specific tools like SQL, Python, R, Tableau, SAS, or Epic. Name each one explicitly in a skills section rather than burying them in job descriptions. Applicant tracking systems will miss them if they're hidden inside a paragraph.
Target openings by data domain
Health data analytics splits into distinct domains: clinical, claims, quality, and public health. Each uses different source systems and metrics. Applying to roles that match your domain experience, whether EHR data or payer claims, makes your application far more competitive.
Apply early to roles that fit
Migrate Mate lists health data analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prep for a technical SQL or case screen
Most health data analyst interview processes include a practical skills screen before the panel round. Expect to write SQL queries against a sample dataset or walk through how you'd approach a data quality problem. Practice with healthcare-adjacent scenarios like member enrollment files or claims tables.
Ask the right questions in the offer stage
Before accepting, clarify what data infrastructure you'll work with, whether the role is embedded in a clinical team or centralized analytics, and what a typical project timeline looks like. These details affect day-to-day work far more than job title alone.
Health Data Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most health data analysts?
The companies hiring the most health data analysts right now include JPMorganChase, CVS Health, and Amazon Web Services, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of August 2026. Health systems, managed care organizations, and government health agencies consistently represent the largest share of postings.
How many health data analyst jobs are remote?
About 63% of health data analyst openings are fully remote or hybrid as of August 2026, making it one of the more flexible roles in the healthcare sector. Roles focused on claims analysis, quality reporting, and population health tend to be the most remote-friendly, while positions requiring direct EHR system access or clinical team integration are more often on-site or hybrid.
How do you become a health data analyst?
Start with a degree in health informatics, biostatistics, public health, or a closely related field. Build core technical skills in SQL and at least one analytics or visualization tool. Gain exposure to healthcare data specifically, whether through internships, entry-level data roles at a health system, or coursework involving EHR or claims datasets. Certifications in health informatics or data analytics can strengthen your application, especially if your degree is outside healthcare.
Can you get a health data analyst job with little experience?
Yes, entry-level health data analyst roles exist, particularly at health insurers, hospital systems, and public health agencies. Employers hiring junior analysts typically prioritize strong SQL skills and familiarity with healthcare data concepts over years of experience. Building a portfolio with a publicly available health dataset, such as CMS claims data, and completing a relevant certification can substitute for professional experience in early applications.
What does the health data analyst interview process look like?
Most health data analyst processes involve a recruiter screen followed by a technical assessment, typically a SQL or data analysis exercise using a sample dataset. A panel interview with the analytics team and sometimes a clinical or operational stakeholder comes next. Interviewers assess both technical proficiency and your ability to translate data findings into plain language for non-technical audiences, which is a core part of the role.
Where can I find and apply to health data analyst jobs?
You can find and apply to health data analyst jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience, domain focus, and preferred location or work arrangement, then apply directly to each one that fits.
See All 1,319+ Health Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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