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Healthcare Data Analyst Jobs in Reston, VA (NOW HIRING)

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 ...

Kanak Elite Services Inc

Data Analyst

Washington, DC · On-site

A well-resourced continuum of care should include a wide range of supports, from community-based ... Required: 6 year of experience conducting research and evaluations using public health or justice ...

ProSidian Consulting

Senior Data Analyst

Rockville, MD

$87K - $110K/yr

The agency's mission is to produce evidence to make health care safer, higher quality, more ... Senior Data Analyst Candidates shall work to support requirements for Other Logistical Support As ...

Analytic Services Inc

Data Analyst

Alexandria, VA · On-site

$99K - $144K/yr

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... ANSER provides employees benefits to support all aspects of their life including health, financial ...

Ansible Government Solutions

Senior Data Analyst

Arlington, VA · On-site +1

$98K - $124K/yr

Overview The Senior Data Analyst supports the Veterans Health Administration Specialty Care Program Office by providing enterprise data management, reporting, analytics, business intelligence, and ...

Booz Allen Hamilton, Inc.

Data Analyst

Washington, DC · On-site

Develop planning models to analyze program health, schedule impacts, and formulate options to best ... care. Our recognition awards program acknowledges employees for exceptional performance and ...

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All JobsHealthcare Data Analyst JobsHealthcare Data Analyst Jobs in Reston, VA

Healthcare Data Analyst information

See Reston, VA salary details

$11

$38

$65

How much do healthcare data analyst jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for healthcare data analyst in Reston, VA is $38.83, according to ZipRecruiter salary data. Most workers in this role earn between $30.24 and $44.04 per hour, depending on experience, location, and employer.

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 healthcare jobs pay over $100k per year?

Healthcare data analysts, especially those with advanced skills in data management, statistical analysis, and familiarity with tools like SQL and Python, can earn over $100,000 annually. Other high-paying healthcare roles include physicians, surgeons, healthcare executives, and specialized nurse practitioners, often requiring advanced degrees and certifications. Salary levels depend on experience, location, and specific responsibilities.

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 for specialization with skills in data management, statistical tools, and healthcare systems.

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.

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.

How do I get into healthcare data analytics?

Healthcare Data Analysts typically need a bachelor's degree in health informatics, statistics, or a related field, along with skills in data analysis tools like SQL, Excel, and statistical software. Gaining experience through internships, certifications such as Certified Health Data Analyst (CHDA), and understanding healthcare systems can improve job prospects.

What does a data analyst in healthcare do?

A healthcare data analyst collects, analyzes, and interprets medical and operational data to improve patient outcomes, optimize healthcare processes, and support decision-making. They often use tools like Excel, SQL, and data visualization software, and require knowledge of healthcare regulations and data privacy standards.

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.
More about Healthcare Data Analyst jobs
What are popular job titles related to Healthcare Data Analyst jobs in Reston, VA? For Healthcare Data Analyst jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Healthcare Data Analyst jobs in Reston, VA look for? The top searched job categories for Healthcare Data Analyst jobs in Reston, VA are:
What cities near Reston, VA are hiring for Healthcare Data Analyst jobs? Cities near Reston, VA with the most Healthcare Data Analyst job openings:
Healthcare Data Analyst jobs near you
Senior Health Data Analyst

Senior Health Data Analyst

Logistics Management Institute

Tysons, VA • On-site

$92K - $158K/yr

Other

Posted 4 days ago

Job description

Overview
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
LMI is seeking a skilled Senior Health Policy Data Analyst at our headquarters office in Tysons VA. Successful Senior Health Policy Data Analyst demonstrate competency in health data analysis, health policy, project execution, critical thinking, and relationship managementwhile upholding the highest standard of ethical behavior.
The successful applicant will become part of an analytical team that supports public health systems management projects with a primary focus on Medicare and Medicare Advantage. He/She will use strong data analysis skills (e.g., SAS/SQL/Python/Excel) to produce reports and insights that inform Medicare and Medicare Advantage policy including related to risk adjustment.
Ultimately, success in this role comes from a combination of a passion for healthcare policy, exceptional attention to detail and accuracy, top-notch data analysis and presentation skills, commitment to cross-functional teamwork, an outstanding client service ethic and a desire to consistently improve in an organization that is dedicated to excellence. Each day may require the candidate to:
  • Understand complex and organization-specific datasets;
  • Perform analyses to answer routine and ad hoc questions about health systems, population health and regulatory compliance and be able to explain the significance of those analyses to non-technical stakeholders;
  • Learn and apply relevant federal policy and regulations to data analysis;
  • Develop and improve standard operating procedures; and
  • Communicate with systems development experts to design tools and applications to automate the fulfillment of repeat requests;
  • Demonstrate a strong commitment to excellence.

Qualifications
Minimum Qualifications
  • Bachelor's Degree
  • 5 years' experience writing automated processes in SAS and/or SQL, Python or similar language. (Applicant may be required to perform demonstration of coding skills).
  • 1-3 years' experience in federal consulting.
  • 3 years analyzing healthcare plan data including claims and utilization data, MA and Part D plan bids, plan payments, and/or risk scores.
  • 3-5 years' experience in data analysis and reporting in client-facing role.
  • Strong Microsoft Office (Excel, PPT) skills required. Applicant may be required to perform demonstration of Excel or analytical skills.
  • Superior communication and writing skills on technical subjects. Ability to provide narrative context of data analysis to a non-technical audience.
  • Ability to absorb large amounts of new technical and policy knowledge without a lot of guidance.
  • Demonstrated Strong interest in health policy.
  • Experience producing high quality analytical deliverables with both short-term (i.e., 1 hour) and longer-term (i.e., 1+ months) lead times.
  • Demonstrated commitment to delivering outstanding products and service that meet or exceed our client's expectations.
  • Ability to multi-task between complex projects during seasonal peak periods

Preferred Qualifications
  • Master's Degree
  • Experience with audits, compliance, or monitoring
  • Experience communicating business requirements to system development experts
  • 3-5 years of experience analyzing any of the following (claims/encounter data, enrollment, quality and /or provider data) for the Medicare program
  • 3-5 years of experience in federal consulting in an analytic role
  • Experience migrating large SAS programs to Python

Target Salary Range: $92,000 - $158,000
Disclaimer:
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

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