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Senior Healthcare Data Analytics Jobs (NOW HIRING)

Sr. Healthcare Data Analyst - Epic

Dallas, TX ยท 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 ...

Senior Healthcare Data Engineer

$105K - $143K/yr

Overview BerryDunn's Healthcare Analytics Practice Group i s looking for a Senior Healthcare Data Engineer to join and grow with our practice. Our Data Management and Strategy Practice provides end ...

Senior Healthcare Data Engineer

Portland, ME ยท On-site +1

$108K - $147K/yr

Overview BerryDunn's Healthcare Analytics Practice Group i s looking for a Senior Healthcare Data Engineer to join and grow with our practice. Our Data Management and Strategy Practice provides end ...

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

As a Manager of Healthcare Data Analytics, you will lead a team responsible for transforming complex healthcare data (claims and provider) into structured, reliable data assets. You'll partner ...

Senior Healthcare Data Engineer

Seattle, WA ยท 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 10, 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.

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.

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.
More about Senior Healthcare Data Analytics jobs
What cities are hiring for Senior Healthcare Data Analytics jobs? Cities with the most Senior Healthcare Data Analytics job openings:
What are the most commonly searched types of Healthcare Data Analytics jobs? The most popular types of Healthcare Data Analytics jobs are:
What states have the most Senior Healthcare Data Analytics jobs? States with the most job openings for Senior Healthcare Data Analytics jobs include:
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 โ€ข On-site

$83K - $104K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 19 days ago


Job description

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
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.
#LI-DNI
Inovalon Offers a Competitive Salary and Benefits Package
In addition to the base compensation, this position may be eligible for performance-based incentives.
The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That's why Inovalon offers a valuable benefits package with a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more.
Base Compensation Range
$106,243-$116,243 USD
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don't meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link