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Medical Data Management Jobs (NOW HIRING)

In addition to managing the day-to-day data and visualization needs of internal and external ... Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage ...

Data Management Specialist

Alsip, IL · On-site

$50K - $76K/yr

Experience multi-tasking data entry and management with speed for extended periods of time ... Medical, Rx, Dental, Vision, Flexible Spending & Health Savings Accounts, EAP, Health Advocacy ...

Experience multi-tasking data entry and management with speed for extended periods of time ... Medical, Rx, Dental, Vision, Flexible Spending & Health Savings Accounts, EAP, Health Advocacy ...

Data Management Specialist

Alsip, IL · Hybrid

$50K - $76K/yr

Experience multi-tasking data entry and management with speed for extended periods of time ... Medical, Rx, Dental, Vision, Flexible Spending & Health Savings Accounts, EAP, Health Advocacy ...

The Data Management Specialist is responsible for management of the data transfer specification ... In addition to competitive salaries, our benefits include medical, dental, and vision coverage ...

Central Data Management (CDM) Position Overview Join our team as a Central Data Management ... Health (Medical, dental and vision) & wellness benefit * 401(k) with employee matching * FSA ...

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to ... The Associate Director of Data Management leads a team of data managers to ensure high quality ...

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Medical Data Management information

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How much do medical data management jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for medical data management 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 is the salary of a data manager?

The salary of a medical data manager typically ranges from $60,000 to $100,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced professionals with specialized skills can earn higher salaries, especially in healthcare settings with complex data systems.

What is the difference between Medical Data Management vs Medical Records Technician?

AspectMedical Data ManagementMedical Records Technician
CredentialsTypically requires a degree in health information management or related certificationUsually requires a high school diploma and certification such as RHIT or RHIA
Work EnvironmentHealthcare facilities, data management systems, health information departmentsHospitals, clinics, medical offices, filing and data entry areas
Job FocusManaging, analyzing, and ensuring the accuracy of medical dataOrganizing, filing, and maintaining patient records

Medical Data Management involves overseeing the integrity and analysis of healthcare data, often requiring specialized education and certifications. In contrast, Medical Records Technicians focus on organizing and maintaining patient records, typically with less formal education. Both roles are essential in healthcare data handling but differ in scope and responsibilities.

What is the highest paying job in health information management?

In health information management, senior roles such as Health Information Directors or Chief Medical Information Officers typically have the highest salaries, often exceeding six figures. These positions require extensive experience, advanced certifications, and leadership skills in managing health data systems and compliance.

Which is better, CDM or SAS?

In medical data management, SAS is a widely used statistical software for analyzing clinical trial data, while CDM (Common Data Model) refers to standardized data structures like OMOP used for data integration and interoperability. The choice depends on the specific job requirements, with SAS often needed for statistical analysis and reporting, and CDM skills valuable for data harmonization and large-scale data projects.

What are some common challenges faced by professionals in Medical Data Management, and how can they be addressed?

Professionals in Medical Data Management often encounter challenges such as ensuring data accuracy, maintaining regulatory compliance, and managing large volumes of sensitive health information. Addressing these issues requires strong attention to detail, regular training on evolving regulations like HIPAA or GDPR, and proficiency with electronic data capture (EDC) systems. Collaborating closely with clinical teams and IT departments can help streamline data workflows and resolve discrepancies promptly, ultimately supporting high-quality research and patient care.

What is medical data management?

Medical data management involves organizing, storing, and maintaining healthcare information to ensure accuracy, security, and accessibility. Professionals in this field often use electronic health records (EHR) systems and require knowledge of data privacy regulations like HIPAA to handle sensitive patient data effectively.

What are the key skills and qualifications needed to thrive in Medical Data Management, and why are they important?

To thrive in Medical Data Management, you need expertise in data analysis, database management, and healthcare regulations, typically supported by a degree in health information management or a related field. Familiarity with electronic health records (EHR) systems, clinical data management software, and certifications like Certified Clinical Data Manager (CCDM) are highly valuable. Attention to detail, problem-solving abilities, and strong organizational skills set top performers apart in this field. These competencies are essential for ensuring the accuracy, security, and compliance of medical data, which directly impacts patient safety and research integrity.
More about Medical Data Management jobs
What states have the most Medical Data Management jobs? States with the most job openings for Medical Data Management jobs include:
Infographic showing various Medical Data Management job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,654 per year, or $37.3 per hour.

Medical Management Data Analyst

MetroPlusHealth

Manhattan, NY • On-site

$81K - $91K/yr

Full-time

Posted 19 days ago


MetroPlusHealth rating

7.8

Company rating: 7.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

164th of 262 rated insurance


Job description

Position Overview
The Medical Management Data Analyst supports Medical Management Analytics with a primary focus on monthly HEDIS builds and annual quality reporting submissions (HEDIS, QARR, PCMH) to NYS DOH and CMS, helping ensure data is accurate, complete, and delivered on time.
In support of monthly HEDIS builds, the Analyst monitors and prepares key data inputs, including claims, provider, member, encounter, and supplemental data, ensuring these feeds are complete and properly delivered to downstream systems and vendor processes. The Analyst performs routine validation of build outputs, including measure-level quality checks, investigation of variances, and confirmation that results align with expected specifications and prior performance.
This role also supports quality improvement efforts by handling routine and ad hoc data requests, including measure-specific analyses, and contributing to the development and maintenance of dashboards and reports used to track performance.
The Analyst position requires comfort working with both structured and unstructured data and contributing to the setup and refinement of new data sources and pipelines that enhance quality reporting and analytics capabilities.
Scope of Role & Responsibilities
    • Support monthly HEDIS builds and annual HEDIS, QARR, and PCMH submissions, helping ensure timely, accurate, and complete data for rate production and regulatory reporting.
    • Monitor and prepare key data inputs for monthly builds, including claims, provider, member, encounter, and supplemental data, ensuring completeness and proper delivery to vendor systems.
    • Assist with intake, tracking, and ongoing support of data feeds from providers, vendors, and health information exchanges (HIEs/RHIO), contributing to stable and reliable data pipelines.
    • Perform routine validation checks on HEDIS build outputs and quality measure results, including review of variances, identification of discrepancies, and confirmation against expected benchmarks.
    • Investigate and resolve data quality issues in collaboration with senior analysts and upstream data partners to support accurate reporting.
    • Execute standard queries and data extracts to support monthly production processes, audits, and submission readiness activities.
    • Handle routine and ad hoc data requests in support of quality improvement initiatives, including measure level data pulls, gap analysis, and performance tracking.
    • Contribute to the development, maintenance, and refinement of dashboards and reports used to monitor quality performance and pay for performance programs.
    • Work with structured and unstructured data to support evolving data needs, including assisting with onboarding and validation of new data sources and pipelines.
    • Support documentation, audit readiness, and continuous improvement of data workflows, ensuring consistency, transparency, and alignment with department analytics processes.

Required Education, Training & Professional Experience
Prior to any hiring consideration, candidates must successfully complete a SQL-based technical assessment to demonstrate ability to query, manipulate, and validate data consistent with role requirements.
  • Bachelor's degree in information systems, data analytics, or a related field required. Master's preferred.
  • 2-3 years of experience extracting, manipulating, and analyzing data in a healthcare, public health, or analytics environment.
  • 2-3 years of experience using analytics and BI tools (e.g., SQL, SAS, R, Python, Power BI, Tableau) to support data analysis and reporting.
  • Ability to interpret and apply technical reporting specifications and measure logic using analytics tools to produce and validate quality reporting outputs.
  • Demonstrated understanding of data quality concepts, with ability to execute data preparation, validation, and reconciliation processes with strong diagnostic rigor, including identifying data anomalies and discrepancies, applying validation rules, and ensuring accuracy of reporting outputs.
  • Ability to collaborate with IT, data vendors, and internal stakeholders, with an understanding of data architecture, data flow, and dependencies across systems supporting quality reporting.

Professional Competencies
  • Integrity & Trust
  • Customer Focus
  • Functional/Technical Skills
  • Strong written and verbal presentation as well as data analysis skills required.
  • Ability to work independently and multitask to meet deadlines.
  • Position requires individual with high degree of accuracy. Must be able to translate theoretical knowledge into practical application.
  • Displays strong communication, interpersonal, and leadership ability across all levels coupled with effective problem solving, conceptual thinking, quantitative and analytical skills.

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