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Healthcare Analytics Jobs in Reston, VA (NOW HIRING)

Senior Consultants help our healthcare clients transform their strategy and business processes ... Perform technical and process analyses; data collection; spreadsheet creation and management

The Program Manager - Analytics provides integrated program management and data analytics leadership in support of complex healthcare programs and initiatives. This role is responsible for overseeing ...

Healthcare Planning Analyst

Mclean, VA · On-site

$98K - $163K/yr

Senior Consultants help our healthcare clients transform their strategy and business processes ... Perform technical and process analyses; data collection; spreadsheet creation and management

The Program Manager - Analytics provides integrated program management and data analytics leadership in support of complex healthcare programs and initiatives. This role is responsible for overseeing ...

Analyze, review, and annotate healthcare legal documents and regulatory materials to support AI training objectives. * Draft and evaluate legal content related to healthcare compliance, fraud and ...

Healthcare Data Developer

Vienna, VA · On-site

$90K - $120K/yr

Analyze healthcare claims data to support fee schedule development and validation * Develop SQL queries and Python scripts for data processing, transformation, validation, and automation * Implement ...

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 ...

Healthcare Project Manager Capitol Cardiology- Greenbelt, MD (in office role) Who we are: US Health ... Analyze current workflows and processes, identify areas for improvement, and implement changes to ...

Showing results 41-60

Healthcare Analytics information

See Reston, VA salary details

$3.4K

$6.5K

$9.4K

How much do healthcare analytics jobs pay per month?

As of Sep 6, 2026, the average monthly pay for healthcare analytics in Reston, VA is $6,544.50, according to ZipRecruiter salary data. Most workers in this role earn between $5,941.67 and $6,975.00 per month, depending on experience, location, and employer.

What is healthcare analytics?

Healthcare analytics is the process of analyzing data collected from various healthcare sources—such as electronic health records, billing systems, and medical devices—to improve patient care, optimize operations, and reduce costs. By leveraging statistical and computational methods, healthcare analytics helps organizations identify trends, predict outcomes, and make evidence-based decisions. This field plays a crucial role in enhancing the quality and efficiency of healthcare delivery.

What are the qualifications to get a job in healthcare analytics?

The qualifications that you need to start a career in healthcare analytics may depend on your career choices and job duties. Employers often expect a bachelor’s or master’s degree in statistics, applied mathematics, or science. Some companies prefer previous experience working with healthcare data. In addition to mathematical and analytical skills, you need an understanding of privacy regulations related to healthcare information. You can gain job experience and knowledge of healthcare rules by working in an internship during your undergraduate studies.

What are the key skills and qualifications needed to thrive in healthcare analytics, and why are they important?

To thrive in Healthcare Analytics, you need a solid background in data analysis, statistics, and healthcare systems, typically supported by a degree in health informatics, statistics, or a related field. Familiarity with tools such as SQL, Python, R, and healthcare data platforms like Epic or Cerner is essential, and certifications like Certified Health Data Analyst (CHDA) can be advantageous. Strong communication, problem-solving abilities, and attention to detail are standout soft skills in this role. These competencies are crucial for transforming complex healthcare data into actionable insights that improve patient outcomes and operational efficiency.

How does a healthcare analytics professional typically collaborate with clinical and administrative teams?

Healthcare Analytics professionals often serve as a bridge between data and decision-making teams. They regularly work with clinical staff to understand patient care workflows and with administrative teams to identify operational challenges. Through meetings, data sharing, and collaborative projects, they help translate complex data findings into actionable insights that improve patient outcomes and efficiency. This cross-functional collaboration is essential to ensure that analytics solutions are relevant, practical, and aligned with organizational goals.

What is the difference between Healthcare Analytics vs Data Analyst in healthcare?

AspectHealthcare AnalyticsData Analyst in healthcare
Required CredentialsBachelor's or master's in health informatics, data science, or related fields; knowledge of healthcare systemsBachelor's in data science, statistics, or related fields; some healthcare knowledge beneficial
Work EnvironmentHospitals, healthcare organizations, health tech companiesHealthcare providers, research institutions, health insurance companies
Employer & Industry UsageFocuses on analyzing healthcare data to improve patient outcomes and operational efficiencyAnalyzes healthcare data for reporting, insights, and decision support

Healthcare Analytics professionals specialize in interpreting healthcare data to enhance patient care and operational processes, often requiring healthcare-specific knowledge. Data Analysts in healthcare perform similar data analysis tasks but may have a broader focus across industries, with less emphasis on healthcare-specific expertise. Both roles are vital in healthcare settings, but Healthcare Analytics roles typically demand more specialized healthcare knowledge and experience.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It requires skills in statistics, data management, and tools like SQL and Python, with certifications often enhancing job prospects. The role offers opportunities in various healthcare settings and typically involves regular working hours with a focus on data-driven decision making.

What can you do with a healthcare analytics degree?

A healthcare analytics degree prepares individuals for roles such as healthcare analyst, data analyst, or health informatics specialist. Graduates can work in hospitals, insurance companies, or public health organizations, analyzing data to improve patient outcomes, optimize operations, and support decision-making using tools like SQL, Excel, and statistical software.

What does a healthcare analyst do?

A healthcare analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, optimize operations, and support decision-making. They often use statistical tools and electronic health records, and may require knowledge of healthcare regulations and data management skills.

What are popular job titles related to Healthcare Analytics jobs in Reston, VA?

For Healthcare Analytics jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Healthcare Analytics jobs in Reston, VA look for?

The top searched job categories for Healthcare Analytics jobs in Reston, VA are:

What cities near Reston, VA are hiring for Healthcare Analytics jobs?

Cities near Reston, VA with the most Healthcare Analytics job openings:

Infographic showing various Healthcare Analytics job openings in Reston, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $78,534 per year, or $37.8 per hour.

Morgan Health - Data Science & Research - Senior Associate

JPMorgan Chase & Co.

Washington, DC • On-site

$120 - $190/hr

Other

Posted 29 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks


Job description

We are seeking a Senior Associate to join our Morgan Health team! Morgan Health is focused on improving the quality, equity, and affordability of employer-sponsored health care in the United States. We pursue this strategy through investments, collaborations with the JPMorgan Chase Benefits team, engagement with other market leaders, sophisticated data analytics and research, and policy advocacy. Morgan Health is headquartered in Washington, DC, with team members also based in New York City and Boston. To learn more about our strategy and latest developments, please visit: www.morganhealth.com.

As a Senior Associate - Data Science & Research in Morgan Health, you will be responsible for querying, compiling, manipulating, and synthesizing large volumes of health-related data—including medical and pharmacy claims, survey data, and biometrics. In this role, you will design creative solutions and novel methodologies that enable Morgan Health and its business partners to make data-driven decisions and generate new insights for the employer-sponsored insurance industry. You are a self-motivated problem solver with strong analytics and communication skills who enjoys working in teams and creates value by aligning insights with business objectives.

Job Responsibilities:
  • Work across Morgan Health to review business needs and translate them into data-driven analytics projects, implementing approaches to scale or automate processes where applicable
  • Implement creative and efficient solutions to clean, join, and analyze data while adhering to HIPAA and firm-wide data use guidelines
  • Identify relevant data sources (including insurance claims, biometrics results, survey results, public or licensed data), understand their context and limitations, and proactively investigate and solve data quality issues
  • Collaborate with other data scientists and engineers to build well-documented, high-quality and efficient code, data architecture, and data transformations in Python and SQL
  • Propose novel research questions or methodologies to solve questions relevant to employer-sponsored insurance
  • Compile externally-facing research briefs and papers that showcase insights relevant to other employers and the broader health care industry
  • Review and validate analysis findings to ensure data quality and integrity
  • Manage relationships with key stakeholders to balance multiple projects within a matrixed environment
  • Communicate analytics concepts and insights with non-technical teammates and stakeholders
Required Qualifications, Capabilities, and Skills
  • Bachelor’s or Master's degree in a quantitative field including, but not limited to statistics, engineering, math, analytics, computer science, public health, operations research, or economics
  • 4+ years of professional experience in hands-on analytics work, including relational database structures, data wrangling, common coding languages, and analytical and data visualization tools (e.g. SQL, Python, R; ggplot, seaborn, Tableau)
  • Understanding of applied statistics, including controlled regressions and propensity-score matching
  • Proven ability to successfully multitask effectively and deliver results with limited supervision
  • Experience creating analytics presentations with strong attention to detail
  • Excellent verbal and written communication skills, especially when delivering analytical results to non-technical stakeholders
  • Team-oriented attitude and proven collaborator
Preferred Qualifications, Capabilities, and Skills
  • Health care experience, ideally in a payer or provider setting
  • Experience working with medical and pharmaceutical claims data, including standard groupers, common data transformations, and population health metrics
  • Experience with survey research methods and familiarity with qualitative or unstructured data
  • Experience with machine learning techniques including clustering, decision trees, and predictive modeling
  • Extensive content knowledge of U.S. healthcare system, including understanding common business questions about the commercially insured population, value-based care, and point solutions serving the employer-sponsored insurance market
  • Master’s degree or PhD with a focus on health care analytics, operations research, data science, statistics or engineering
  • Peer-reviewed research outputs in fields including applied statistics, health care analytics, informatics, operations, and medicine

To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).

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