ZipRecruiter

Log In

1

Healthcare Data Analyst Jobs in Silver Spring, MD

rockITdata

Data Analyst- Federal Health

Arlington, VA · Remote

Join rockITdata as a Data Analyst supporting one of the nation's largest federal healthcare modernization initiatives. In this role, you'll transform operational, financial, technical, and program ...

rockITdata

Data Analyst- Federal Health

Arlington, VA · On-site +1

Join rockITdata as a Data Analyst supporting one of the nation's largest federal healthcare modernization initiatives. In this role, you'll transform operational, financial, technical, and program ...

LMI

Senior Health Data Analyst

Tysons, VA · On-site

$92K - $158K/yr

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... Successful Senior Health Policy Data Analyst demonstrate competency in health data analysis, health ...

LMI

Senior Health Data Analyst

Tysons, VA

$92K - $158K/yr

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... Successful Senior Health Policy Data Analyst demonstrate competency in health data analysis, health ...

LMI

Senior Health Data Analyst

Tysons, VA · On-site

$92K - $158K/yr

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... Successful Senior Health Policy Data Analyst demonstrate competency in health data analysis, health ...

USM

Data Analyst

Washington, DC · On-site

Data Analyst Location: Washington DC (Locals only) Duration: 6+ Months Note: Need Locals for F2F ... S. Healthcare Industry B.S. in Mathematics, Engineering, or Computer Science Additional Information ...

previous pagenext page

Showing results 21-40

All JobsHealthcare Data Analyst JobsHealthcare Data Analyst Jobs in Silver Spring, MD

Healthcare Data Analyst information

See Silver Spring, MD salary details

$11

$38

$64

How much do healthcare data analyst jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for healthcare data analyst in Silver Spring, MD is $38.59, according to ZipRecruiter salary data. Most workers in this role earn between $30.05 and $43.75 per hour, depending on experience, location, and employer.

What does a healthcare data analyst do?

A Healthcare Data Analyst is responsible for collecting, processing, and analyzing healthcare data to help organizations make informed decisions. They work with electronic health records, billing data, and clinical information to identify trends, improve patient outcomes, and ensure operational efficiency. Their insights support healthcare providers, administrators, and policymakers in optimizing services and reducing costs. Analysts often use statistical tools and data visualization techniques to communicate findings to stakeholders.

What are the key skills and qualifications needed to thrive as a healthcare data analyst, and why are they important?

To thrive as a Healthcare Data Analyst, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, statistics, or a related field. Familiarity with data analytics tools such as SQL, Excel, Tableau, and healthcare-specific software like Epic or Cerner is essential, and certifications like Certified Health Data Analyst (CHDA) can be advantageous. Strong attention to detail, critical thinking, and effective communication skills help translate complex data into actionable insights for healthcare teams. These skills are vital for improving patient outcomes, streamlining operations, and supporting data-driven decision-making in healthcare organizations.

What are some common challenges faced by healthcare data analysts when working with clinical data?

Healthcare Data Analysts often encounter challenges such as dealing with incomplete or inconsistent patient records, integrating data from various electronic health record (EHR) systems, and ensuring patient privacy while analyzing sensitive information. Navigating complex regulatory requirements like HIPAA is also a key part of the role. Analysts must develop strong problem-solving skills and maintain close collaboration with clinical and IT teams to ensure data accuracy and meaningful insights.

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

AspectHealthcare Data AnalystHealthcare Data Scientist
Required CredentialsBachelor's in health informatics, data analysis, or related field; certifications like CPC or CAP often preferredAdvanced degrees (Master's or PhD) in data science, statistics, or related fields; certifications like Certified Analytics Professional (CAP) beneficial
Work EnvironmentHospitals, clinics, insurance companies, healthcare IT firmsResearch institutions, healthcare tech companies, pharmaceutical firms
Employer & Industry UsageCommonly employed in healthcare settings for data reporting and analysisUsed in advanced data modeling, predictive analytics, and research projects

Healthcare Data Analysts focus on interpreting healthcare data to improve patient outcomes and operational efficiency, often working with existing datasets. Healthcare Data Scientists perform more complex data modeling and predictive analytics, requiring advanced technical skills and higher education. Both roles are vital in healthcare but differ in scope and complexity.

How do I become a certified healthcare data analyst?

To become a certified healthcare data analyst, you typically need a bachelor's degree in health informatics, data science, or a related field, along with experience working with healthcare data. Earning certifications such as the Certified Health Data Analyst (CHDA) from the American Health Information Management Association (AHIMA) or the Certified Analytics Professional (CAP) can enhance your credentials. Proficiency in data analysis tools like SQL, Excel, and statistical software is also important for this role.

Is there a demand for healthcare data analysts?

Healthcare data analysts are in high demand due to the increasing focus on data-driven decision making in healthcare organizations. The role requires skills in data management, statistical analysis, and tools like SQL and Excel, with job growth expected to be faster than average over the next several years.

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

Healthcare data analysts typically need at least a bachelor's degree in fields such as health informatics, statistics, data science, or a related area. Many employers prefer candidates with a master's degree or relevant certifications in data analysis or healthcare analytics. Strong skills in data management, statistical software, and understanding healthcare systems are also important.
More about Healthcare Data Analyst jobs

What are the most commonly searched types of Healthcare Data Analyst jobs in Silver Spring, MD?

The most popular types of Healthcare Data Analyst jobs in Silver Spring, MD are:

What are popular job titles related to Healthcare Data Analyst jobs in Silver Spring, MD?

For Healthcare Data Analyst jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Analyst jobs in Silver Spring, MD look for?

The top searched job categories for Healthcare Data Analyst jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Healthcare Data Analyst jobs?

Cities near Silver Spring, MD with the most Healthcare Data Analyst job openings:

Healthcare Data Analyst jobs near you
Infographic showing various Healthcare Data Analyst job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,265 per year, or $38.6 per hour.

Senior Data Analyst / Researcher

Index Analytics

Baltimore, MD • On-site, Remote

$120K - $155K/yr

Other

Posted 3 days ago

New

Job description

Position Overview
Index Analytics is seeking a Senior Data Analyst / Researcher to support federal healthcare clients by applying advanced analytical, statistical, and research methodologies to transform complex healthcare and program data into actionable insights. This role combines deep expertise in Medicaid and CHIP programs, data analytics, policy research, and stakeholder engagement to support evidence-based decision-making, program oversight, and healthcare transformation initiatives.
The ideal candidate will be able to lead and conduct quantitative and qualitative analyses across diverse healthcare data sources, including claims, enrollment, utilization, quality, and performance datasets, to identify trends, evaluate program effectiveness, and inform policy and operational improvements. Working closely with data scientists, engineers, health policy researchers, and client stakeholders, this position develops high-impact analyses, predictive models, visualizations, and research products that support strategic priorities and improve outcomes for federal healthcare programs.
Key Responsibilities
  • Conduct research on best practices and analyze diverse Medicaid and Children's Health Insurance Program (CHIP) data sources including claims, TAF, program oversight metrics, scorecards, and performance data to identify patterns, clusters, and insights that inform policy, operational improvements, and feature development for CMS business needs.
  • Perform routine and exploratory data analysis using statistical methods, predictive modeling, and state-of-the-art data mining techniques to build predictive models, uncover trends, and generate actionable insights.
  • Develop and deliver high-quality reports, ad hoc analyses, and data visualizations grounded in HCD and UX best practices to help clients interpret complex information and support decision-making.
  • Work collaboratively in an agile environment with data analysts, data scientists, and internal/external clients to define analytical requirements, develop value-added solutions, and enhance business operations.
  • Prepare technical deliverables including presentation decks, reports, and draft manuscripts communicating findings to clients and scientific audiences through clear, compelling presentations that translate complex concepts for diverse stakeholders.
  • Integrate qualitative design research with exploratory data analysis to provide insights that support improved health policy and better outcomes for Medicaid and CHIP populations.
  • Use analytics and data expertise to provide input to and review of documentation, reference, and training materials related to analytic approaches, data structures and content, and data quality observations.

  • U.S. Citizen or otherwise authorized to work in the United States and able to demonstrate physical residency in the U.S. for at least three of the past five years. Must be eligible to support federal government clients and meet applicable background investigation requirements.
  • Bachelor's degree and a minimum of 10 years of professional experience, or an equivalent combination of education and experience. Four years of specialized experience may be substituted for a bachelor's degree. Candidates should possess significant experience supporting data analytics, business intelligence, research, or related healthcare and government initiatives.
  • Demonstrated experience applying statistical methods and analytical techniques, including probability distributions, hypothesis testing, regression analysis, predictive modeling, data mining, and advanced data visualization to support data-driven decision-making, program administration, policy development, and program oversight.
  • Strong experience conducting complex quantitative and qualitative analyses using large healthcare datasets to evaluate program performance, identify trends, measure outcomes, and support operational and policy improvements.
  • Hands-on experience performing data analytics using SQL, PySpark, or comparable technologies is required.
  • Direct experience working with Medicaid and CHIP data assets, including T-MSIS Analytic Files (TAF), CMS-416T reports, state performance measures, and health outcomes reporting, is required. Experience with DQ Atlas, Scorecard, or related CMS performance monitoring tools is preferred.
  • Experience developing reports, dashboards, data visualizations, and analytical products that effectively communicate findings to technical, business, and executive audiences.
  • Subject matter expertise in text analytics is preferred. Experience applying Natural Language Processing (NLP) techniques using Python or similar technologies is a plus.
  • Proficiency with Python, R, or other analytical programming languages is preferred.
  • Knowledge of healthcare policy, Medicaid and CHIP programs, population health, quality measurement, program evaluation, or healthcare performance improvement initiatives is highly desirable.
  • Experience supporting the Centers for Medicare & Medicaid Services (CMS) or other federal, state, or local government agencies is preferred.
  • Strong written, verbal, and presentation communication skills, with demonstrated ability to translate complex analytical findings into actionable recommendations for diverse stakeholder groups.
  • Proven ability to work collaboratively within cross-functional teams, manage multiple priorities, and support client-facing engagements in an Agile or fast-paced project environment.

Apply