ZipRecruiter

Log In

1

Senior Risk Adjustment Data Analyst Jobs (NOW HIRING)

Roblox

Senior Risk Data Analyst

San Mateo, CA · On-site

As a Senior Risk Data Analyst in our Payments organization, you will play a critical role in defending Roblox from various types of payment fraud across the platform. This includes purchase fraud ...

next page

Showing results 1-20

People also search for

All JobsRisk Adjustment Data Analyst JobsSenior Risk Adjustment Data Analyst Jobs

Senior Risk Adjustment Data Analyst information

See salary details

$53.5K

$109.8K

$142.5K

How much do senior risk adjustment data analyst jobs pay per year?

As of Jun 8, 2026, the average yearly pay for senior risk adjustment data analyst in the United States is $109,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What does a Senior Risk Adjustment Data Analyst do?

A Senior Risk Adjustment Data Analyst is responsible for analyzing healthcare data to ensure accurate risk adjustment, which is crucial for determining appropriate payments to health plans. They identify data trends, validate medical coding, and work to ensure that diagnoses and procedures are properly documented and reported. These professionals collaborate with clinical and IT teams, provide insights to improve data quality, and help organizations comply with regulations. Their work supports fair reimbursement and helps improve patient care outcomes.

What are the key skills and qualifications needed to thrive as a Senior Risk Adjustment Data Analyst, and why are they important?

To thrive as a Senior Risk Adjustment Data Analyst, you need expertise in healthcare data analysis, risk adjustment methodologies, and a solid background in statistics or a related field—often supported by a bachelor's or master's degree. Familiarity with SQL, SAS, Python, and risk adjustment software platforms, as well as knowledge of CMS-HCC or HHS-HCC models, is typically required. Strong analytical thinking, attention to detail, and effective communication skills distinguish top performers in this role. These competencies ensure accurate data interpretation, regulatory compliance, and impactful insights that drive optimal revenue and patient outcomes for healthcare organizations.

How does a Senior Risk Adjustment Data Analyst typically collaborate with clinical and IT teams?

A Senior Risk Adjustment Data Analyst frequently works cross-functionally with both clinical and IT teams to ensure accurate and compliant capture of risk adjustment data. They translate analytical findings into actionable insights for clinicians, helping to improve documentation and coding accuracy. Collaboration with IT is essential for streamlining data extraction processes, implementing new analytics tools, and safeguarding data quality. Regular meetings and project-based work are common, fostering a collaborative environment where communication skills and technical expertise are both highly valued.
Infographic showing various Senior Risk Adjustment Data Analyst job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $109,846 per year, or $52.8 per hour.
Healthcare Data Analyst Consultant (Risk Adjustment & Stars)

Healthcare Data Analyst Consultant (Risk Adjustment & Stars)

CYNET SYSTEMS

Columbia, MD • On-site

$72 - $77/hr

Contractor

Posted 18 days ago

Job description

Job Overview:
 
Pay Range: $72.23hr - $77.23hr
  • Responsible for supporting enterprise Risk Adjustment and Stars strategies through advanced analytics, reporting, and collaboration with healthcare policy makers, business leaders, IT teams, and product owners. 
  • The role involves identifying trends and opportunities across Medicare and Medicaid programs, developing analytical models and visualizations, supporting quality and risk initiatives, and delivering data-driven recommendations that improve business outcomes.

Requirement/Must Have:

  • Strong experience in healthcare data analysis, modeling, and reporting.
  • Expertise in Medicare Advantage, Medicaid, Risk Adjustment, and Stars programs.
  • Strong programming experience with SQL, Python, R, SAS, or similar technologies.
  • Experience developing reports, dashboards, and visualizations using Power BI or Tableau.
  • Strong analytical and problem-solving skills.
  • Experience transforming, cleansing, and validating large data sets.
  • Strong understanding of relational databases, dimensional modeling, and star schemas.
  • Ability to manage multiple priorities and deliver results in fast-paced environments.
  • Strong communication and collaboration skills across business and technical teams.

Experience:

  • Bachelor’s degree in Data Science, Mathematics, Computer Science, Statistics, or related field required.
  • 10 years of experience in data science methodologies, analytics, modeling, and reporting required.
  • Master’s or PhD in related disciplines preferred.
  • Experience with Azure Cloud native programs preferred.
  • Agile software development experience preferred.
  • Experience working with large datasets and distributed computing technologies such as Hive or Hadoop preferred.
  • Experience working with healthcare data including EMR, clinical data, or social determinants of health preferred.

Responsibilities:

  • Support enterprise Stars and Risk Adjustment strategies through advanced analytics and collaboration with stakeholders.
  • Identify trends and opportunities across Medicare and Medicaid healthcare programs.
  • Partner with business leaders, IT teams, and product owners to guide analytics initiatives and priorities.
  • Identify and quantify key drivers impacting Risk Adjustment and Quality/Stars programs.
  • Investigate opportunities, evaluate effectiveness, and provide actionable recommendations.
  • Develop and maintain reports, dashboards, and visualizations for business stakeholders.
  • Create scheduled and ad hoc reports to support Risk Adjustment and Quality initiatives.
  • Monitor application performance and recommend process and algorithm improvements.
  • Work with clients, data stewards, and technology teams to define business problems and solutions.
  • Stay current with Medicare and Medicaid regulatory requirements and update analytics accordingly.
  • Collaborate with external vendors and government agencies as needed.
  • Manage multiple concurrent projects and shifting priorities effectively.

Should Have:

  • Experience with Azure Cloud environments.
  • Experience with Hive, Hadoop, or distributed computing frameworks.
  • Experience working with unstructured healthcare data.
  • Agile software development experience.
  • Experience with healthcare quality and risk adjustment programs.

Skills:

  • Risk Adjustment and Stars analytics.
  • Medicare and Medicaid healthcare analytics.
  • SQL, Python, R, and SAS programming.
  • Power BI and Tableau visualization.
  • Data modeling and dimensional design.
  • Data cleansing and transformation.
  • Relational databases and star schemas.
  • Healthcare data analysis.
  • Analytical problem-solving.
  • Reporting and dashboard development.

Qualification And Education:

  • Bachelor’s degree in Data Science, Mathematics, Computer Science, Statistics, or related field required.
  • Master’s or PhD preferred.
  • Additional relevant work experience may be considered in lieu of degree requirements.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

View All Cynet Systems Jobs