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Senior Healthcare Data Analytics Jobs (NOW HIRING)

Accompany Health

Senior Healthcare Data Analyst

$120K - $135K/yr

As a Senior Healthcare Data Analyst for Accompany Health you will be: * A mission-critical, early ... Conduct analytics and reporting using data from payer claims, CMS files, electronic medical records ...

Src

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 ...

BerryDunn

Senior Healthcare Data Engineer

Portland, ME · 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 ...

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 ...

Valenz

Manager, Healthcare Data Analytics

Phoenix, AZ · Remote

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 ...

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 ...

Astiva Health

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical ... Provide analytics and reporting to MSOs/IPAs and internal teams, including quality, pharmacy, and ...

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All JobsSenior Healthcare Data Analytics Jobs

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 11, 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.
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:
What job categories do people searching Senior Healthcare Data Analytics jobs look for? The top searched job categories for Senior Healthcare Data Analytics jobs are:
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 Analyst

Accompany Health

Remote

$120K - $135K/yr

Full-time

Posted 10 days ago

Job description

Accompany Health is on a mission to give patients with complex needs the dignified, high-quality care they deserve but rarely receive. A primary, behavioral, and social care provider, Accompany Health walks alongside patients for their entire care journey, offering at-home and virtual care, as well as 24/7 support. Partnering with innovative payors, Accompany Health is powered by remarkable care teams, elegant technology, and a commitment to evidence-based practice.
We build long-term relationships with our patients so they know, without question, that our team is here for them day or night, year after year. We focus on the health outcomes most important to our patients to make it clear that they lead the way.
To achieve our mission, we collaborate with community-based organizations, local providers, and health plans. Led by our empathetic care teams, guided by proven care models, and powered by our own technology, we deliver a level of service that our communities rightfully deserve but rarely receive.
While our headquarters is in Bethesda, MD, our teams are distributed across the country. If you're eager to make a tangible difference in people's lives, to help correct long-standing disparities in health care, join us.
About the role:
As a Senior Healthcare Data Analyst for Accompany Health you will be:
  • A mission-critical, early part of our growing finance team (and company)
  • Help to build the data assets, processes and models that will provide insight into the company's medical expense and risk adjustment performance
  • Collaborate with our highly talented product, engineering, clinical, and operations teams that come from a variety of backgrounds

Responsibilities will include:
  • Demonstrate mastery of SQL and BI tools (e.g., Tableau or Looker) to efficiently derive complex datasets and dashboards
  • Serve as the Sr Data Analyst for the monthly enterprise reporting process. This will include taking a leading role reviewing reporting domains such as patient engagement, HEDIS, CMS HCC compliance and additional as necessary
  • Support the financial and operational team to understand business performance and identify areas for improvement
  • Develop, implement and maintain consistent process for data quality controls to ensure data integrity and make recommendations to improve data integrity
  • Conduct analytics and reporting using data from payer claims, CMS files, electronic medical records, and other sources to deliver actionable insights to various teams
  • Fulfill ad hoc data requests for stakeholders
  • Work directly with product and Engineering teams to define data requirements for payer data ingestion and data warehousing
  • Maintain clean and well-documented code
  • Work with team-members to develop and continuously improve best practices
  • Mentor others

What makes you a fit for the team:
  • You approach your work with humility and flexibility, recognizing that our system of care will need to learn and adapt to the needs of patients with complex needs
  • You show empathy for the needs of patients, clinicians, and your colleagues to change the fundamental paradigm of care delivery for marginalized patients
  • You have a distinctive ability to get a highly cross-functional group of stakeholders - technical and non-technical - on the same page
  • You focus on getting things done in the most effective, efficient manner for the task at hand - rather than following a specific process for its own sake
  • You have the resilience to dive headfirst into challenging problems - healthcare is complicated and there's a lot to be fixed
  • You are excited to work in a startup environment, with the ambiguity and shifting priorities that might come with it at times

Desired skills and experience:
Required:
  • 4+ years experience in healthcare data analytics or healthcare economics
  • 4+ years experience with analytic and modeling tools and software (SAS, SQL, Python, R, etc)
  • Demonstrated understanding of key managed care concepts such as Risk Adjustment, Provider Capitation, Diagnosis Related Groups (DRG's), Ambulatory Patient Groups (APF's), etc
  • Ability to review new datasets for accuracy and consult with key stakeholders to contextualize data inconsistencies and the resulting impact to reporting and measurement design
  • Excellent written and verbal communication skills

Preferred:
  • Experience working with government healthcare programs such as Medicare, Medicare Advantage, and Medicaid
  • Familiarity with value-based care
  • Intermediate to advanced knowledge of data visualization tools (e.g., Tableau or Looker) is a plus

$120,000 - $135,000 a year
The base salary range for this full-time position is $120,000-$135,000 + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Our talent team can share more about the specific salary range for your preferred location during the hiring process.
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For Patient Facing Roles
To keep our patients, communities and each other safe, you'll be required to comply with Accompany Health's medical clearance requirements, including completing a TB screen and providing proof of immunity or vaccination for certain conditions. This is a condition of employment, and we make exceptions as required by law. Accommodation for religious and medical beliefs will be provided on a case by case basis.
We embrace diversity and believe it creates a healthier atmosphere: Accompany Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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