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Healthcare Data Analyst Ii Jobs (NOW HIRING)

Bachelor's degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related field. * 2-5+ years of healthcare data analytics experience. * Knowledge of Medicare Advantage ...

Healthcare Data Analyst

Bannockburn, IL · On-site

$70K - $117K/yr

Investigates key business problems through quantitative analyses and interpretation of utilization and healthcare cost data. * Translates specific business issues and questions into appropriate ...

Requirements What You Bring * 4+ years of experience in system analysis, data analysis, and/or process improvement. * 2+ years of experience in the healthcare industry; TPA experience preferred.

The Data Analyst II is a practitioner-level role designed for an analytics professional eager to ... Set up, configure, and maintain tracking on healthcare websites and mobile apps to capture critical ...

Data Analyst II Location: Forest Park, GA Contract- 15 Months Client- Southern Company Services Position Overview The Data Analyst II supports TSS Engineering by developing and maintaining data ...

Data Analyst II

Plummer, ID · On-site

$25 - $30/hr

Collects, analyzes, disseminates and evaluates crime, substance use, public health and related data ... Ability to understand and provide respectful and effective care and services responsive to all, but ...

Data Analyst 2

Charlotte, NC · On-site

$70K - $82K/yr

As a Data Analyst 2, you'll be on the front lines of that mission: performing data analysis ... Operational Excellence Through Process - You care about craft - clear documentation, structured ...

Data Analyst II Duration: 12 Months Location: Corning, NY Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered. Position Summary The Data Analyst ...

$72.04/hr

... Data Analyst II) under the supervision of Dr. Elaine L. Hill, a health economist. The successful ... If you're looking for a career in higher education or health care, the University of Rochester may ...

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Healthcare Data Analyst Ii information

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$11

$37

$62

How much do healthcare data analyst ii jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for healthcare data analyst ii in the United States is $37.33, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $42.31 per hour, depending on experience, location, and employer.

What is a Healthcare Data Analyst II?

A Healthcare Data Analyst II is a mid-level professional who collects, processes, and analyzes healthcare data to help organizations improve patient care, reduce costs, and enhance operational efficiency. They use statistical tools and software to interpret data, identify trends, and generate actionable insights for decision-makers. Typically, they work with electronic health records, claims data, and other healthcare databases, collaborating with clinical and administrative teams. Their role often requires experience in data management, strong analytical skills, and knowledge of healthcare regulations and standards.

How does a Healthcare Data Analyst II typically collaborate with clinical and IT teams to drive data-driven decision-making?

A Healthcare Data Analyst II often serves as a bridge between clinical staff and IT professionals by translating clinical needs into analytical solutions. They work closely with clinicians to understand workflow challenges and data requirements, while partnering with IT teams to ensure secure, accurate data extraction and reporting. This collaboration helps develop actionable insights that improve patient outcomes, streamline operations, and support compliance with healthcare regulations. Effective communication and a solid understanding of both healthcare processes and data systems are key to success in this role.

What are the key skills and qualifications needed to thrive as a Healthcare Data Analyst II, and why are they important?

To thrive as a Healthcare Data Analyst II, you need strong analytical skills, experience with healthcare data sets, and a background in statistics or a related field, often supported by a bachelor's or master's degree. Proficiency with data analysis tools like SQL, Python, R, and familiarity with electronic health record (EHR) systems and data visualization platforms such as Tableau or Power BI are typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and presenting actionable insights to stakeholders. These skills ensure accurate data-driven decision-making that supports improved patient outcomes and operational efficiency in healthcare organizations.

What is the difference between Healthcare Data Analyst Ii vs Healthcare Data Analyst I?

AspectHealthcare Data Analyst IiHealthcare Data Analyst I
Required CredentialsBachelor's degree, possibly certifications like CPC or CCSPBachelor's degree, entry-level certifications optional
Work EnvironmentHealthcare facilities, data analysis teamsHealthcare organizations, data entry or analysis roles
Employer & Industry UsageHospitals, clinics, health insurersSimilar settings, often entry-level
Common Search & ComparisonMore experienced, higher responsibilityEntry-level, foundational role

The Healthcare Data Analyst II typically has more experience and handles complex data projects, whereas the Healthcare Data Analyst I is an entry-level position focusing on basic data tasks. Both roles are common in healthcare settings and require similar educational backgrounds, but the II usually involves greater responsibility and technical skills.

More about Healthcare Data Analyst Ii jobs
Infographic showing various Healthcare Data Analyst Ii job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $77,642 per year, or $37.3 per hour.

$85K - $115K/yr

Full-time

Re-posted 5 days ago


Job description

Description

About Us:

Astiva Health, Inc., located in Orange, CA is a premier healthcare provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.


SUMMARY:

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical, operational, and financial decision-making within Medicare Advantage programs. This role focuses on key areas including risk adjustment, quality measures (HEDIS and Star Ratings), pharmacy adherence, and claims analysis. 

The analyst collaborates with clinical, quality, pharmacy, and provider teams to identify trends, monitor program performance, and support CMS regulatory reporting. The role also includes developing automated data workflows and reporting solutions that deliver timely, actionable insights across the organization.


ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:


Data Analysis & Reporting

  • Analyze medical and pharmacy claims, membership, supplement, lab, risk adjustment, and encounter data to support Medicare Advantage quality, risk, and operational programs.
  • Develop and maintain dashboards and reports for HEDIS, Star Ratings, medication adherence, RAF/HCC performance, and EDPS encounter data.
  • Identify trends, care gaps, and performance opportunities to support quality improvement, pharmacy initiatives, and risk adjustment efforts.
  • Provide analytics and reporting to MSOs/IPAs and internal teams, including quality, pharmacy, and risk adjustment.
  • Support regulatory and CMS-related analyses, including encounter data monitoring, claims acceptance, and HCC performance.
  • Deliver consolidated reporting and insights to leadership for strategic decision-making.
  • Examine payments, cost of care, and utilization data to produce metrics for bid submission and JOMs or to address concerns from business partners.
  • Support ad hoc reporting needs across the organization.

Data Quality & Validation

  • Validate and reconcile claims, pharmacy, provider, membership, supplement, and lab data to ensure accuracy and completeness.
  • Investigate and resolve data discrepancies, anomalies, and reporting issues across Medicare Advantage data sources.

Technical & Database Work

  • Write and optimize SQL queries and stored procedures for data extraction, transformation, and analysis.
  • Develop automated ETL workflows and data pipelines to support ongoing reporting needs.
  • Work with large datasets in SQL Server and healthcare analytics platforms.
  • Build dashboards and data visualizations using Power BI or SSRS.
  • Utilize tools such as SQL Server, SSIS, Power BI, SSRS, Python, and Excel.

Collaboration

  • Partner with clinical, pharmacy, quality, enrollment, credentialing, and finance teams to interpret results and support program initiatives.
  • Assist with regulatory and compliance-related reporting requirements.
  • Present findings and insights to both technical and non-technical stakeholders

Requirements

Required Qualifications

  • Bachelor's degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related field.
  • 2-5+ years of healthcare data analytics experience.
  • Knowledge of Medicare Advantage programs, HEDIS, and/or CMS Star Ratings.
  • Advanced SQL skills for querying and analyzing large datasets.
  • Experience with BI tools such as Power BI, SSRS, or similar tools.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

  • Experience working in Medicare Advantage organizations, MSOs, or managed care settings.
  • Knowledge of HCC risk adjustment, RAF methodologies, capitation payment model, DOFR, claim processing, bid design, and CMS regulatory requirements.
  • Experience analyzing pharmacy adherence metrics (e.g., PDC).
  • Familiarity with EDPS encounter data, claims submissions, and acceptance processes.
  • Experience with ETL tools (e.g., SSIS) or programming languages such as Python or .NET.