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Senior Healthcare Data Analytics Jobs (NOW HIRING)

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Sr. Healthcare Data Analyst - Epic

Dallas, TX · On-site +1

$85K - $107K/yr

Job Posting Title: Sr. Healthcare Data Analyst - Epic Location: Dallas - Hospital Additional ... The Analytics team is essential to transforming how organizational data assets are leveraged to ...

Abacus Insights

Senior Healthcare Data Modeler

The Senior Healthcare Data Modeler will work closely with the Director of Data Modeling to define ... Ensure models support analytical (data science, actuarial, reporting) and operational (Claims, Care ...

Blue Ridge Care

Healthcare Data Analyst

Winchester, VA · On-site +1

The Healthcare Data Analyst partners closely with Finance, IT, Quality, Clinical Operations, and Senior Leadership to strengthen reporting, identify opportunities, and support initiatives across ...

Milliman

Senior Healthcare Data Engineer

Seattle, WA · Remote

$120K - $163K/yr

Own components of data pipelines end-to-end, from raw data processing through final analytic ... Work with large-scale healthcare datasets (tens to hundreds of millions of rows) within the VRDC ...

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Senior Healthcare Data Analytics information

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$45K

$114.5K

$168.5K

How much do senior healthcare data analytics jobs pay per year?

As of Jun 15, 2026, the average yearly pay for senior healthcare data analytics in the United States is $114,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $135,000.00 per year, depending on experience, location, and employer.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts play a crucial role in interpreting complex health data, and while AI tools can automate routine tasks like data collection and basic analysis, they do not replace the need for skilled analysts who provide context, insights, and decision support. The role is expected to evolve with technology, emphasizing skills in data management, statistical analysis, and domain knowledge. Continuous learning and proficiency with analytics software remain important for job security in this field.

How much does Milliman pay senior healthcare data analysts?

Senior healthcare data analysts at Milliman typically earn an average salary ranging from $80,000 to $110,000 annually, depending on experience, location, and certifications. Compensation may also include bonuses and benefits, and proficiency in data analysis tools like SQL and Python can influence pay levels.

What is the highest salary for a medical data analyst?

Senior Healthcare Data Analysts can earn salaries up to $120,000 or higher annually, especially with extensive experience, advanced skills in data visualization and statistical tools, and certifications like Certified Health Data Analyst (CHDA). Top salaries are often found in large healthcare organizations or with specialized expertise in electronic health records and predictive analytics.

What are Senior Healthcare Data Analytics professionals?

Senior Healthcare Data Analytics professionals are experts who analyze complex healthcare data to uncover insights that can improve patient outcomes, efficiency, and decision-making within healthcare organizations. They use advanced statistical techniques, data modeling, and data visualization tools to interpret trends and patterns in large datasets, such as electronic health records or claims data. Their work often informs policy, clinical practice, and operational strategies, and they may also mentor junior analysts or lead analytics teams. Typically, they have several years of experience in data analysis and a strong understanding of healthcare systems and regulatory requirements.

What is the difference between Senior Healthcare Data Analytics vs Healthcare Data Analyst?

AspectSenior Healthcare Data AnalyticsHealthcare Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Healthcare, or related field; experience in analyticsBachelor's in Healthcare, Data Science, or related field; entry to mid-level experience
Work EnvironmentHealthcare organizations, hospitals, health systems, or consulting firmsClinics, hospitals, insurance companies, or healthcare providers
Employer & Industry UsageUsed for strategic decision-making, data modeling, and leadership rolesUsed for data collection, reporting, and basic analysis tasks

Senior Healthcare Data Analytics professionals typically have advanced education and experience, focusing on strategic analysis and leadership. Healthcare Data Analysts perform foundational data collection and reporting tasks. Both roles are vital in healthcare data management but differ in scope and responsibility.

Is healthcare data analytics in demand?

Healthcare data analytics is in high demand due to the increasing need for data-driven decision making in healthcare organizations. Senior healthcare data analysts with skills in statistical tools, programming, and electronic health records are sought after to improve patient outcomes and operational efficiency.

What are some common challenges faced by Senior Healthcare Data Analytics professionals, and how can they be addressed?

Senior Healthcare Data Analytics professionals often encounter challenges such as integrating data from disparate sources, ensuring data quality and compliance with healthcare regulations like HIPAA, and translating complex analytics into actionable insights for non-technical stakeholders. Addressing these challenges requires strong collaboration with IT teams, ongoing data validation procedures, and effective communication skills to bridge technical and clinical perspectives. Staying current with industry standards and leveraging advanced analytical tools can also help streamline processes and improve outcomes.

What are the key skills and qualifications needed to thrive as a Senior Healthcare Data Analytics professional, and why are they important?

To thrive as a Senior Healthcare Data Analytics professional, a strong background in statistics, data analysis, and healthcare systems is essential, typically supported by a degree in data science, health informatics, or a related field. Proficiency with data visualization tools (like Tableau or Power BI), programming languages (such as SQL, Python, or R), and advanced knowledge of electronic health record (EHR) systems are commonly required. Analytical thinking, attention to detail, and effective communication skills help professionals translate complex data into actionable insights for stakeholders. These skills and qualities are crucial for driving data-informed decisions that improve patient outcomes and operational efficiency in healthcare organizations.
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Senior Healthcare Data Analytics jobs near you
Infographic showing various Senior Healthcare Data Analytics job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 92% Full Time, 6% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $114,472 per year, or $55 per hour.
Senior Healthcare Data Analytics Specialist for Multiple Positions

Senior Healthcare Data Analytics Specialist for Multiple Positions

Inovalon

Bowie, MD • On-site, Remote

Other

Posted 24 days ago

Job description

Inovalon is seeking Senior Healthcare Data Analytic Specialists for Multiple Positions

Summary of Duties:     Determine project plans, timelines, and/or technical objectives for statistical aspects of healthcare data analytic processes, applying valid statistical techniques and using information obtained from baselines or historical data to structure uncompromised and efficient analyses. Use data analysis to support and improve business decisions and develop clinical healthcare data analytic products and services. Determine the specific types of clinical or healthcare data required to answer specific questions or solve problems. Evaluate and maintain healthcare databases comprised of data from a variety of sources, such as clinical and health data contained in electronic health records and publicly reported quality measurement and reimbursement data and adjusting and weighting the raw data. Prepare data for processing. Plan and design data integration strategies by evaluating clinical and healthcare data to determine any reliability or usability limitations and checking for inaccuracies. Develop, execute and reconcile requirements for data mapping and data loading processes, develop intuitive designs, and build enterprise interactive dashboards with built in guided healthcare data analytics. Evaluate data to ensure validity, applicability, efficiency, and accuracy. Perform complex and detailed statistical analyses and modeling of clinical and operational data with clear, relevant outputs. Analyze data using statistical analysis and visualization software (e.g. SAS, R, SPSS, Stata, SQL or Tableau) to apply statistical approaches such as opportunity analyses, risk adjustment and predictive modeling, program evaluation studies, probability and inference, longitudinal analysis, mixed effect modeling, logistic regression analyses, and model building techniques. Perform trend analysis to identify and research anomalies and outliers in the data. Identify problem areas related to healthcare quality, risk adjustment, and/or clinical performance and recommend solutions. Write detailed analysis plans and descriptions of analyses and recommendations, including preparing data visualizations in the form of dashboards, charts, and/or graphs. Prepare statistical data for inclusion in reports to senior management, state or federal regulatory agencies, accrediting agencies, and clients.

Qualifications:     Three of Four Year Bachelor's degree in Computer Science, Management Information Systems, Statistics, Data Analytics, Information Technology Management, Commerce, or related field of study, or foreign equivalent plus at least 5 years progressively responsible experience in job offered or in any related analytics job titles.
Applicants must have 5 years of experience with healthcare data analytic processes and in the following: (1) conducting statistical analyses and data mining using data management and visualization software (e.g. SAS, R, SPSS, Stata, SQL, SSRS, SQL Server, Minitab, and/or Tableau); (2) analytical, quantitative, statistical, and biostatistical data analysis methodology and theory (e.g. opportunity analyses, risk adjustment and predictive modeling, program evaluation studies, probability and inference, longitudinal analysis, mixed effect modeling, logistic regression analyses, and model building techniques); (3) algorithm design, interactive reporting, data visualization and modeling, database systems, trend and root cause analysis, computer and neural networks, data structures, programming languages, and logic design; and (4) Microsoft technologies (including Excel, PowerPoint, Word, and Visio). Telecommuting Available.

This role is not available for sponsorship at this time.

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