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Senior Health Data Analyst Jobs (NOW HIRING)

Saintfrancis

Population Health Data Analyst

Yale, MI · On-site

The Population Health Data Analyst is responsible for data acquisition and exchange, data analyses, and reporting for the health system's population health initiatives. The role utilizes data ...

New

Jobgether

$106K - $143K/yr

This is a senior data analytics opportunity focused on using healthcare data to strengthen Medicaid program oversight. You will analyze large and complex datasets to identify patterns ...

1199SEIU Funds

Health Data Analyst II

Manhattan, NY · Hybrid

... data analysis Experience working in the Health Care industry with knowledge of Care Management, Medical, or Hospital claims business operations preferred Experience writing system specifications ...

1199SEIU Funds

Health Data Analyst II

Manhattan, NY · Hybrid

... data analysis Experience working in the Health Care industry with knowledge of Care Management, Medical, or Hospital claims business operations preferred Experience writing system specifications ...

Addison Group

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Senior Data Analyst Location: Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 ... Conducts health data economic analysis for Operational, Medical Management, Finance, and ...

Central Health

Senior Data Analyst

Austin, TX · On-site +1

$86K - $109K/yr

Under general direction of the Central Health's Analytics Quality Manager, the Senior Data Analyst is responsible for organizing, analyzing and reporting on data from large clinical, financial, and ...

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Senior Health Data Analyst information

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$55K

$99.2K

$135.5K

How much do senior health data analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for senior health data analyst in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What does a senior health data analyst do?

A Senior Health Data Analyst analyzes complex health-related data to provide insights that support decision-making in healthcare organizations. They are responsible for collecting, cleaning, and interpreting large datasets, often using statistical software and data visualization tools. Their work helps improve patient outcomes, optimize operations, and ensure regulatory compliance. Additionally, they may lead projects, mentor junior analysts, and collaborate with medical professionals, IT teams, and administrators to address various healthcare challenges.

What are the key skills and qualifications needed to thrive as a senior health data analyst, and why are they important?

To thrive as a Senior Health Data Analyst, you need advanced analytical skills, a background in statistics or public health, and typically a bachelor's or master's degree in a related field. Proficiency in data analysis tools such as SQL, Python, R, and experience with electronic health record (EHR) systems are essential, along with certifications like Certified Health Data Analyst (CHDA) being advantageous. Strong problem-solving abilities, attention to detail, and excellent communication skills enable effective collaboration with cross-functional teams and clear presentation of findings. These competencies ensure accurate interpretation of complex health data, driving informed decisions that improve patient outcomes and organizational efficiency.

What are some common challenges faced by senior health data analysts when working with healthcare data?

Senior Health Data Analysts often encounter challenges such as integrating data from multiple, disparate healthcare systems, ensuring data privacy and compliance with regulations like HIPAA, and managing large volumes of complex, unstructured data. Additionally, they must translate technical findings into actionable insights for clinical and administrative stakeholders who may not have a data background. Collaborating effectively across interdisciplinary teams and keeping up with rapidly evolving healthcare technologies are also key aspects of the role.

What is the difference between Senior Health Data Analyst vs Health Data Analyst?

AspectSenior Health Data AnalystHealth Data Analyst
Required CredentialsBachelor's or Master's in Health Informatics, Data Science, or related field; experience often requiredBachelor's degree in related field; entry-level or less experience needed
Work EnvironmentHealthcare organizations, research institutions, or government agenciesHospitals, clinics, insurance companies, or health tech firms
Employer & Industry UsageUsed in organizations requiring advanced data analysis and leadershipUsed in roles focused on data collection and basic analysis

The main difference between a Senior Health Data Analyst and a Health Data Analyst lies in experience, responsibilities, and expertise. Senior roles typically require more advanced skills, leadership, and strategic input, whereas entry-level roles focus on data collection and basic analysis. Both roles are vital in healthcare data management but differ in scope and complexity.

More about Senior Health Data Analyst jobs

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Senior Health Data Analyst jobs near you
Infographic showing various Senior Health Data Analyst job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 75% Full Time, 17% Part Time, and 6% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

Population Health Data Analyst

Yale, MI • On-site

Saintfrancis
See more jobs at Saintfrancisexternal

Full-time

Posted 2 days ago

New

Job description

Current Saint Francis Employees - Please click HERE to login and apply.

Full TimeDays

Job Summary: The Population Health Data Analyst is responsible for data acquisition and exchange, data analyses, and reporting for the health system's population health initiatives. The role utilizes data platforms and produces reports related to healthcare administrative data (including but not limited to healthcare eligibility and claims data) as well as clinical data relevant to population health management initiatives and value-based contract performance (examples to include data elements necessary for traditional HEDIS quality measure reporting and data related to care coordination interventions).

Minimum Education: Bachelor's degree in Computer Science, Management Information Systems, Business or Healthcare Administration, Actuarial Science, Economics, Mathematics, Statistics, or related field.

Licensure, Registration and/or Certification: None.

Work Experience: Minimum of 3 years of experience in the healthcare industry preferred, working in one of the following domains: financial analysis, payor/provider contract analysis, quality reporting, or decision-support. Experience in health plans or provider-based value-based payment structures (e.g. ACO, CIN), preferred.

Knowledge, Skills and Abilities: Advanced knowledge of Microsoft Office Suite (Excel).Experience with healthcare claims data and related analyses, preferred. Working knowledge of SQL, data visualization tools (e.g. Tableau, Qlik, PowerBI) or advanced data analytic tools (Python, R, SAS).Proven analytical skills, ability to draw insights from data and translate those insights into clear priorities and interventions. Ability to perform work independently or with teammates in a constantly changing environment, balancing and appropriately prioritizing multiple tasks. Knowledge of database management principles, preferred. Experience with scripting languages (e.g. Visual Basic, Python, PowerShell) to facilitate automation of reporting processes, preferred.

Essential Functions and Responsibilities: Gathers, organizes, and presents data to support strategic initiatives, optimization of value-based contract performance, and provider incentive program administration. Performs data acquisition and exchange tasks within the population health organization, supporting the integration of administrative, clinical, and care coordination data. Leverages data to deliver operational and analytic reporting. Collaborates with peers, leadership, provider partners, and medical directors to develop and deliver on population health analytics reporting needs. Communicates project status reports to stakeholders.Maintains detailed knowledge of data systems, data sources, and related software systems. Supplements this analytics knowledge with an understanding of operational programs and processes.

Decision Making: Independent judgment in making decisions involving non-routine problems under general supervision.

Working Relationships: Works with internal/external customers via telephone or face to face interaction. Works with other healthcare professionals and staff. Works frequently with individuals at director level or above.

Special Job Dimensions: None.

Supplemental Information: This document generally describes the essential functions of the job and the physical demands required to perform the job. This compilation of essential functions and physical demands is not all inclusive nor does it prohibit the assignment of additional duties.

Population Health - Warren Clinic

Location:

Tulsa, Oklahoma 74136

EOE Protected Veterans/Disability

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