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Medical Data Analyst Jobs (NOW HIRING)

nLeague

DOC - Data Analyst 4

Richmond, VA · On-site

Job Id: 805128 Data Analyst- Clinical Operations Informatics Specialist Client: VA DOC Location ... Deep understanding of medical vocabularies from both a clinical viewpoint and informatics ...

Corvel

Data Verification Analyst

Pittsburgh, PA · Hybrid

$13.38 - $23.42/hr

The Data Verification Analyst is responsible for all bill review clerical functions, including mail, prepping and scanning medical bills, data entry, data verification and assisting with various ...

Vheda Health

Healthcare Medical Economics Analyst

$100K - $120K/yr

The analyst will translate complex data into clear, data-driven recommendations and partner cross-functionally to support population health, utilization management, and value-based care initiatives.

New York Medical College

Data Analyst

Valhalla, NY

$40/hr

Overview We are seeking skilled and detail-oriented Data Analysts to join our team in a per diem role. The ideal candidate will be responsible for collecting, processing, and analyzing large datasets ...

Addison Group

Data Analyst

Dallas, TX

$30 - $40/hr

This position is eligible for medical, dental, vision, and 401(k). About The Company Our client is seeking a Data Analyst to support strategic business initiatives through data analysis, reporting ...

Weiser Memorial Hospital

Data Analyst

Weiser, ID

$75K - $90K/yr

Medical, dental, and vision insurance plans * Discounted medical services * Medical and dependent ... Analyze data trends, patterns, and variances to support operational, clinical, financial, and ...

Addison Group

Data Analyst

Dallas, TX · On-site

$30 - $40/hr

This position is eligible for medical, dental, vision, and 401(k). About The Company Our client is seeking a Data Analyst to support strategic business initiatives through data analysis, reporting ...

New York Medical College

Data Analyst

Valhalla, NY · On-site

$32 - $40/hr

Overview We are seeking skilled and detail-oriented Data Analysts to join our team in a per diem role. The ideal candidate will be responsible for collecting, processing, and analyzing large datasets ...

Weiser Memorial Hospital

Data Analyst

Weiser, ID · On-site

$75K - $90K/yr

Medical, dental, and vision insurance plans * Discounted medical services * Medical and dependent ... Analyze data trends, patterns, and variances to support operational, clinical, financial, and ...

Weiser Memorial Hospital

Data Analyst

Weiser, ID · On-site

$75K - $90K/yr

Medical, dental, and vision insurance plans * Discounted medical services * Medical and dependent ... Analyze data trends, patterns, and variances to support operational, clinical, financial, and ...

Addison Group

Data Analyst

Dallas, TX · On-site

$30 - $40/hr

This position is eligible for medical, dental, vision, and 401(k). About The Company Our client is seeking a Data Analyst to support strategic business initiatives through data analysis, reporting ...

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Medical Data Analyst information

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$55

How much do medical data analyst jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for medical data analyst in the United States is $37.33, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $38.46 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Medical Data Analyst, and why are they important?

To thrive as a Medical Data Analyst, you need strong analytical skills, a solid understanding of healthcare data, and a background in statistics or a related field, often supported by a degree in health informatics, statistics, or computer science. Experience with data analysis tools like SQL, Python, R, and familiarity with electronic health record (EHR) systems or data visualization platforms is typically required. Attention to detail, problem-solving, and effective communication skills help analysts interpret complex data and collaborate with healthcare professionals. These competencies are critical for generating actionable insights that drive informed decision-making and improve patient outcomes.

How to get into healthcare data analyst?

To become a healthcare data analyst, you typically need a bachelor's degree in health informatics, statistics, or a related field, along with strong skills in data analysis tools like Excel, SQL, or Python. Gaining experience through internships or entry-level positions and obtaining certifications such as Certified Health Data Analyst (CHDA) can improve job prospects. Familiarity with healthcare systems and data privacy regulations is also beneficial.

What are Medical Data Analysts?

Medical Data Analysts are professionals who collect, process, and analyze healthcare data to help improve patient outcomes and hospital operations. They work with large sets of medical information, such as patient records, billing data, and clinical trial results, to identify trends, evaluate treatments, and support decision-making. Their work is essential for hospitals, research institutions, and insurance companies to ensure data-driven healthcare solutions.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts play a crucial role in interpreting medical data, and while AI tools can automate routine tasks like data processing and basic analysis, they are unlikely to fully replace the need for human analysts. Analysts' skills in critical thinking, domain knowledge, and decision-making remain essential for complex data interpretation and strategic insights. Continuous learning and proficiency with data analysis tools are important for staying relevant in this evolving field.

How does a Medical Data Analyst typically collaborate with clinicians and other healthcare professionals?

Medical Data Analysts often work closely with clinicians, nurses, and administrative staff to ensure that data-driven insights are both actionable and relevant to patient care. They may participate in interdisciplinary meetings, translate complex data findings into understandable reports, and provide recommendations for improving clinical workflows based on analytics. Effective communication and an understanding of healthcare operations are essential, as analysts must bridge the gap between technical analysis and practical clinical application. This collaborative environment not only enhances patient outcomes but also fosters continuous learning and professional growth.

How to get a healthcare data analyst job?

To become a healthcare data analyst, develop strong skills in data analysis, statistics, and healthcare systems, often using tools like Excel, SQL, and statistical software. Obtain relevant education such as a degree in health informatics, data science, or a related field, and consider earning certifications like Certified Health Data Analyst (CHDA) to enhance your qualifications.

Can a data analyst work in the medical field?

A data analyst can work in the medical field by analyzing healthcare data, patient records, and clinical information to improve patient outcomes and operational efficiency. Medical data analysts often use tools like SQL, Excel, and statistical software, and may require knowledge of healthcare regulations such as HIPAA.

What Does a Medical Data Analyst Do?

A medical data analyst collects information, records, and data for companies and organizations that provide health care. They use this data to construct reports and spreadsheets for a management team. The management can use the reports to make adjustments to their operation to account for new trends, streamline treatment plans, and alter customer service, billing, and staffing strategies. A medical data analyst is similar to data analysts in other fields, but they have a deeper understanding of medical terminology and the issues and procedures surrounding the health care industry.

What is the difference between Medical Data Analyst vs Clinical Data Coordinator?

AspectMedical Data AnalystClinical Data Coordinator
Required CredentialsBachelor's in health informatics, data science, or related field; certifications like CDMP or CPHIMSBachelor's in health sciences, nursing, or related field; certifications like CDMP or CPHIMS
Work EnvironmentHealthcare organizations, research institutions, insurance companiesHospitals, clinical research sites, pharmaceutical companies
Employer & Industry UsageAnalyzing healthcare data, supporting decision-making, improving patient outcomesManaging clinical trial data, ensuring data accuracy, compliance with protocols

While both roles involve healthcare data, Medical Data Analysts focus on analyzing and interpreting data to inform decisions, whereas Clinical Data Coordinators manage and ensure the accuracy of clinical trial data. The roles often overlap but serve distinct functions within healthcare and research settings.

What does a medical data analyst do?

A medical data analyst collects, processes, and interprets healthcare data to support clinical and operational decision-making. They use statistical tools and software to identify trends, improve patient outcomes, and ensure data accuracy, often working with electronic health records and healthcare databases. Strong analytical skills and knowledge of healthcare regulations are essential for this role.
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Medical Data Analyst jobs near you
Infographic showing various Medical Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $77,654 per year, or $37.3 per hour.

DOC - Data Analyst 4

nLeague

Richmond, VA • On-site

Contractor

Posted 4 days ago

Job description

Job Id: 805128

Data Analyst- Clinical Operations Informatics Specialist

Client: VA DOC

Location: Onsite, 6900 Atmore Road, Richmond VA 23225

Duration: 12+ Months

Job Description:

  • The role supports workflow improvement, clinical data analysis, and validation work that informs practice and decision making across Health Services. This is a clinical facing role with a work focus on clinical practice and end user experience. They will work closely with the Health Services EHR team and alongside the technical teams responsible for EHR configuration and development.
     

Knowledge, Skills, Abilities or Competencies:

Minimum:

  • Demonstrated experience in independently structuring unclassified medical data from unstructured texts and mapping data elements to standard vocabulary, enabling interoperability, clinical decision support, coding, and data analytics.
  • Deep understanding of medical vocabularies from both a clinical viewpoint and informatics perspective.
  • Extensive experience pulling data out of electronic health record systems
  • Demonstrated experience answering clinical questions into analysis of data from an electronic health record system.
  • Demonstrated experience validating EHR data with outside data sources
  • Demonstrated experience validating EHR data through triangulation with other data within the EHR
  • Demonstrated experience documenting workflows from clinical practice into EHR data entry and data management
  • Extensive experience with applying national EHR standards to an EHR product.
  • Demonstrated experience standardizing processes around an EHR implementation.
  • Demonstrated experience analyzing and documenting clinical workflows in a multidisciplinary care setting
  • Demonstrated ability to communicate clinical and data findings clearly to non-technical audiences including medical staff and leadership
  • Experience working in a multidisciplinary clinical environment with multiple stakeholder groups

Additional Considerations:

  • Clinical or medical background (nursing, medicine, pharmacy, or similar) preferred
  • Correctional or institutional healthcare experience desired; experience in other constrained, multidisciplinary clinical environments may substitute
  • Experience with EHR systems in a clinical capacity required


Core Duties:
1. Clinical workflow documentation
 

·         Documenting current workflows, identifying gaps, supporting staff-facing improvements, and contributing to standardization across state facilities.  Establish documented inventory of HSU clinical workflows in EHR with prioritized improvement recommendations.


2. Data extraction, analysis and visualization
 

·         Pulling data from the EHR to answer clinical and operational questions and validating it against reliable data sets.  Building reporting that informs practice, and otherwise visualizing data that supports leadership decision-making with evidence. Establish practice for clinical data extraction and reporting with some completed reports answering live HSU questions.


3. Validation and testing
 

·         Validation of EHR updates from user perspective view.  Consistent testing coverage of the base system in addition to support for MAR and related project components.  Establish documented reduction in validation gaps on EHR changes.


4. Direct support to medical staff
 

·         Acting as a clinical point of contact for EHR-related questions and requests, with responsiveness as an explicit value. Successful handoff of documentation and established processes for continuity of work.