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Senior Healthcare Data Analytics Jobs (NOW HIRING)

SRI Tech solutions Inc

Sr Health Data Analyst

Seattle, WA

$97K - $123K/yr

... analytics and enhancements to the client reporting system. The Sr. Data Analyst must be an ... This position will include direct work with industry experts among health care purchasers ...

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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 14, 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:
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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.
Manager, Healthcare Data

Manager, Healthcare Data

CAN Community Health Inc.

Saint Petersburg, FL

$92K - $125K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

CAN Community Health rating

7.3

Company rating: 7.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Description

CAN Community Health is now hiring a Manager, Healthcare Data

Schedule: Full-Time | Day Shift | Monday-Thursday 8:00 am - 5:00 pm Friday 8:00 am - 12:00 pm

Salary: $92,000-$125,000 annually based on experience


Are you passionate about patient care and ready to make a difference every day? We are looking for someone who is passionate about serving the needs of individuals impacted by HIV, Hepatitis C, STI's, and other infectious diseases. You will become part of our professional team that drives home our Company's Mission and Values.


We have received recognition for more than six (6) years NPT's Best Non-Profit to Work for Award.


Why You'll Love It Here

  • Competitive pay 
  • Generous paid PTO and Sick time 
  • 11 Paid Company Holidays 
  • Paid training and certification support
  • Health, dental, vision, with generous company contribution, paid life and disability plans & retirement plan with generous match of up to 8% of your contribution additional match of 1%. 
  • Tuition Reimbursement Plan 
  • Other voluntary plans are available to support you and your family
  • Career growth opportunities in a supportive environment

What You'll Do

The Manager, Healthcare Data, is a mid-level leadership position responsible for overseeing the day-to-day operations of the Healthcare Data Analyst team. This role serves as the primary point of contact for analytics project coordination, quality assurance, and team development. The Healthcare Data Manager works closely with the Director of Data Analytics to translate strategic data initiatives into actionable team deliverables while ensuring data integrity, regulatory compliance, and operational efficiency. This position requires strong technical proficiency in healthcare analytics, demonstrated leadership capabilities, and the ability to mentor and develop team members.

  • Supervise, mentor, and provide daily direction to Healthcare Data Analysts, ensuring quality deliverables and professional development
  • Coordinate analytics project assignments, timelines, and resource allocation in alignment with departmental priorities
  • Provide operational oversight of database administration activities, including review of database design and architecture, coordination of backup and recovery strategies with IT Infrastructure, monitoring of database performance optimization, and management of user access permissions in compliance with HIPAA and PHI security requirements
  • Serve as the primary quality assurance checkpoint for team deliverables, reviewing reports, dashboards, and data analyses for accuracy and completeness
  • Develop and maintain standardized processes, templates, and documentation for recurring analytics workflows
  • Collaborate with the Director of Data Analytics to identify team training needs and coordinate professional development opportunities
  • Design, develop, and maintain data visualizations, dashboards, and reports using Power BI Desktop and Power BI Report Server
  • Write and optimize SQL queries for data extraction, transformation, and analysis from multiple healthcare data sources
  • Support 340B program analytics, compliance reporting, and quality assurance initiatives
  • Assist with Ryan White, HRSA, and other grant reporting requirements by ensuring timely and accurate data deliverables

Supervisory Responsibilities

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of an employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.  

Requirements

Education/Professional:

  1. Bachelor's degree in data science, Statistics, Public Health, Health Informatics, Computer Science, Business Administration (healthcare) or related field required.
  2. 4+ years of progressive experience in data analytics, with at least 1 year in a supervisory or lead role, preferably within healthcare, public health, or nonprofit sectors.
  3. Proven experience with healthcare data (claims, EMR/EHR, pharmacy, clinical quality measures, 340B, Ryan White)
  4. Microsoft certification preferred.
  5. Experience with Salesforce platforms including Health Cloud and MuleSoft integration (preferred)
  6. Experience with Power BI Report Server for enterprise reporting (required)
  7. Proficiency with MS365 Power Platform (Power BI Desktop, Power Apps, Power Automate) (required)
  8. Strong SQL programming skills for data extraction, transformation, and analysis (required)
  9. Must be able to operate a motor vehicle and have valid insurance and driver's license.

Must be able to pass a Level I and Level II Background check as required (https://info.flclearinghouse.com)

CAN Community Health, Inc. is an equal opportunity employer that is committed to diversity and values the ways in which we are different. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.

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