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Remote Health Data Analyst Jobs in Baltimore, MD

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ... Health & fitness benefits, discounts and resources- We offer teammates across the country programs ...

ManTech

Data Scientist

Fort George G Meade, MD · Remote

$128K - $214K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

Elder Research

Senior Data Scientist

Fort George G Meade, MD · On-site +1

$150K - $220K/yr

Translate complex data analysis into clear, actionable recommendations. * Collaborate with subject ... We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and ...

Elder Research

Senior Data Scientist

Fort George G Meade, MD · On-site +1

$150K - $220K/yr

Translate complex data analysis into clear, actionable recommendations. * Collaborate with subject ... We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and ...

Magpie Health Analytics

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

... healthcare clients. This role is responsible for building, maintaining, and optimizing scalable data pipelines and validation workflows across complex datasetsenabling downstream analytics ...

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All JobsHealth Data Analyst JobsRemote Health Data Analyst JobsRemote Health Data Analyst Jobs in Baltimore, MD

Remote Health Data Analyst information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

How much do remote health data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote health data analyst in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

What is a remote health data analyst?

A Remote Health Data Analyst is a professional who works primarily from a remote location to collect, process, and analyze healthcare data. They use statistical tools and software to interpret data from medical records, insurance claims, patient surveys, and other health information sources. Their insights help healthcare organizations improve patient care, optimize operations, and ensure regulatory compliance. Remote Health Data Analysts often collaborate with medical staff, IT teams, and administrators using digital communication tools. This role requires strong analytical skills, attention to detail, and proficiency in data management systems.

What does a remote health data analyst do?

The job duties of a remote health data analyst include performing analysis on datasets related to the healthcare industry. In this career, you may work from home to gather relevant data from different sources, such as medical records, operational logs, and billing databases. The responsibilities of a health data analyst include using data to define healthcare trends, seek out areas for cost reduction, and analyze the cost and effectiveness of treatments. As a telecommute worker, you send reports to healthcare management personnel electronically, and you may have to communicate with them to answer questions after report submission.

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

To thrive as a Remote Health Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and at least a bachelor's degree in health informatics, statistics, or a related field. Proficiency with data analysis tools such as SQL, Python, R, and experience with electronic health record (EHR) systems and data visualization platforms like Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and collaborating remotely with teams. These skills ensure accurate data insights, enable informed decision-making, and support the delivery of efficient healthcare services from a remote environment.

How does a remote health data analyst typically collaborate with healthcare teams while working offsite?

Remote Health Data Analysts frequently collaborate with clinicians, IT professionals, and data scientists through digital communication tools such as video conferencing, secure messaging, and shared data platforms. Regular virtual meetings are common to discuss project progress, clarify data requirements, and ensure alignment on healthcare outcomes. While working remotely offers flexibility, it also requires proactive communication and strong organizational skills to manage multiple projects and maintain data security standards. Building trust and maintaining clear documentation are essential for effective remote teamwork in this role.
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Remote Health Data Analyst jobs near you
Infographic showing various Remote Health Data Analyst job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $82,114 per year, or $39.5 per hour.

Medicaid Data Subject Matter Expert

Index Analytics

Baltimore, MD • On-site, Remote

$150K - $190K/yr

Other

Posted 16 days ago

Job description

Company Overview
Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related consulting services to the federal government. At the center of our company culture is a commitment to instilling a dynamic and employee-friendly place to work. We place a priority on promoting a supportive and collegial team environment and enhancing staff experience through career development and educational opportunities.
Position Overview
Index Analytics is seeking a highly skilled Medicaid Data SME to support federal healthcare clients in the Baltimore and Washington, D.C. metropolitan area. This role combines deep expertise in healthcare data, Medicaid and CHIP policy, advanced analytics, and stakeholder engagement to drive actionable insights and improve program outcomes.
The ideal candidate is a strategic thinker and trusted advisor who can transform complex healthcare data into meaningful recommendations for clients. Working at the intersection of data, policy, and technology, this individual will leverage statistical analysis, data visualization, and domain expertise to address challenging healthcare questions, support program oversight, and inform evidence-based decision making. The incumbent will collaborate with multidisciplinary teams of analysts, data scientists, policy experts, and government stakeholders to develop innovative solutions that enhance healthcare quality, operational effectiveness, and health outcomes.
Key Responsibilities
  • Research best practices and support developing solutions and recommendations for building value added products and solutions enhancing the current business operations and policy for Medicaid and CHIP programs.
  • Perform routine business analysis using various techniques (e.g. statistical analysis, explanatory and predictive modeling, data mining), provide business data interpretation on Medicaid data sets to include claims, TAF, program oversight, scorecards, performance data and more.
  • Validate that documentation of specified Medicaid data and analytics issues is correct and complete using expertise and conducting research as necessary. Identify complex data and policy issues that are undocumented and poorly documented as candidates for documentation.
  • Help develop training curricula and contribute data and analytics content for training modules.
  • Work with internal or external clients to identify analytical requirements and produce ad hoc data and reports that visualize data using industry best practices for HCD and UX.
  • Provide insights to improve health policy and outcomes through the combination of qualitative design research and exploratory data analysis.
  • Work in an agile environment with a team of data analysts, data and policy SMEs, and data scientists.
  • Develop technical documentation and deliverables (presentation slides, reports, draft manuscripts) with high quality and relevant viewpoints.
  • Communicate findings to clients and scientific audiences, through both oral presentations; able to translate complex nuances to others.

  • U.S. citizen or authorized to work in the United States, with residency in the U.S. for at least three (3) of the past five (5) years. Must be eligible to obtain a Federal client badge and successfully pass a Public Trust background investigation.
  • Bachelor's degree in Public Health, Health Informatics, Data Science, Statistics, Computer Science, Healthcare Administration, or a related field.
  • Minimum of eight (8) years of professional experience, including at least four (4) years working with healthcare data, healthcare IT systems, or healthcare analytics.
  • Demonstrated experience conducting complex quantitative and qualitative analyses to support program administration, policy development, program oversight, and data-driven decision-making.
  • Experience analyzing large, complex healthcare datasets, including Medicaid claims, enrollment, quality, or operational data.
  • Experience analyzing Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) using SQL, PySpark, or similar data processing tools.
  • Experience working with unstructured data and applying analytical methods to derive actionable insights.
  • Strong understanding of statistical concepts and methodologies, including hypothesis testing, regression analysis, predictive modeling, and exploratory data analysis.
  • Excellent written, verbal, and presentation communication skills, including the ability to translate complex technical concepts into clear, actionable recommendations for non-technical audiences.
  • Experience developing technical reports, presentations, documentation, and client-facing deliverables.

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