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Data Analyst IV - Medicare, ACA, Risk Adjustment

Kaiser Permanente

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Data Analyst IV - Medicare, ACA, Risk Adjustment

full-timePosted: Jan 13, 2026

Job Description

Remote from any KP location in CA, OR, CO, WA, GA, MD, VA, HI or D.C. Only. 
** PLEASE NOTE: Salary ranges are geographically based and the posted range reflects the Northen CA region. Lower salary ranges will apply for other labor markets outside of NCAL

 

Overview:

The Prospective Risk Adjustment Operations team is seeking a Data Analyst to support scoping, deploying, and reporting out on projects to support prospective risk adjustment projects. This pivotal role will support the development of foundational reporting and analytical frameworks crucial for identifying and prioritizing prospective risk initiatives, developing and supporting comprehensive reporting and insightful visualization of opportunities and outcomes, and directly supporting strategic decision-making and operational excellence. Ideal candidates will possess robust analytical skills and a proven ability to translate complex data into actionable business intelligence within a dynamic healthcare environment. This position offers a significant opportunity to contribute to the organization's continued success in risk adjustment.

This role requires a background in technical coding (i.e SQL, Python, R etc.) or other statistical modeling programs.  Familiarity with data science disciplines (i.e machine learning, predictive analytics, data visualization etc.), data modeling is preferred.

Job Summary:

This individual contributor is primarily responsible for driving strategic data-informed decisions, gathering data and information on targeted variables in an established systematic fashion, and preparing data for analytic efforts. This position executes creative data analytic approaches leading to actionable outcomes, interprets data analyses, and develops analytical and/or statistical models enabling informed business decisions.


Essential Responsibilities:
  • Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback.
  • Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks as appropriate; and recognizing and capitalizing on improvement opportunities.
  • Interprets data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; and providing context related to data interpretations and/or limitations as appropriate.
  • Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics to be analyzed; defining, calculating, and validating algorithms; and conducting analyses, including descriptive, correlational, inferential, and/or predictive statistics.
  • Develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; and testing, refining, and validating models.
  • Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update; developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation.
  • Drives strategic data-informed decisions by consulting with clients to identify and clarify key business needs; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing analysis plans; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables.
  • Prepares data for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data; and cleaning and creating final data set(s) for analysis.

Locations

  • Oakland, California, United States

Salary

Estimated Salary Rangemedium confidence

90,000 - 150,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • SQL, Python, R codingintermediate
  • Statistical modelingintermediate
  • Data science (machine learning, predictive analytics)intermediate
  • Data visualizationintermediate
  • Data modelingintermediate

Required Qualifications

  • Technical coding background (experience)
  • Familiarity with data science disciplines (experience)

Responsibilities

  • Drive strategic data-informed decisions
  • Gather and prepare data
  • Execute data analytic approaches
  • Interpret data analyses
  • Develop analytical/statistical models
  • Support risk adjustment projects
  • Develop reporting and visualization frameworks

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SQL, Python, R codingStatistical modelingData science (machine learning, predictive analytics)Data visualizationData modelingHealthcare

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Kaiser Permanente logo

Data Analyst IV - Medicare, ACA, Risk Adjustment

Kaiser Permanente

Other Jobs

Data Analyst IV - Medicare, ACA, Risk Adjustment

full-timePosted: Jan 13, 2026

Job Description

Remote from any KP location in CA, OR, CO, WA, GA, MD, VA, HI or D.C. Only. 
** PLEASE NOTE: Salary ranges are geographically based and the posted range reflects the Northen CA region. Lower salary ranges will apply for other labor markets outside of NCAL

 

Overview:

The Prospective Risk Adjustment Operations team is seeking a Data Analyst to support scoping, deploying, and reporting out on projects to support prospective risk adjustment projects. This pivotal role will support the development of foundational reporting and analytical frameworks crucial for identifying and prioritizing prospective risk initiatives, developing and supporting comprehensive reporting and insightful visualization of opportunities and outcomes, and directly supporting strategic decision-making and operational excellence. Ideal candidates will possess robust analytical skills and a proven ability to translate complex data into actionable business intelligence within a dynamic healthcare environment. This position offers a significant opportunity to contribute to the organization's continued success in risk adjustment.

This role requires a background in technical coding (i.e SQL, Python, R etc.) or other statistical modeling programs.  Familiarity with data science disciplines (i.e machine learning, predictive analytics, data visualization etc.), data modeling is preferred.

Job Summary:

This individual contributor is primarily responsible for driving strategic data-informed decisions, gathering data and information on targeted variables in an established systematic fashion, and preparing data for analytic efforts. This position executes creative data analytic approaches leading to actionable outcomes, interprets data analyses, and develops analytical and/or statistical models enabling informed business decisions.


Essential Responsibilities:
  • Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback.
  • Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks as appropriate; and recognizing and capitalizing on improvement opportunities.
  • Interprets data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; and providing context related to data interpretations and/or limitations as appropriate.
  • Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics to be analyzed; defining, calculating, and validating algorithms; and conducting analyses, including descriptive, correlational, inferential, and/or predictive statistics.
  • Develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; and testing, refining, and validating models.
  • Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update; developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation.
  • Drives strategic data-informed decisions by consulting with clients to identify and clarify key business needs; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing analysis plans; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables.
  • Prepares data for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data; and cleaning and creating final data set(s) for analysis.

Locations

  • Oakland, California, United States

Salary

Estimated Salary Rangemedium confidence

90,000 - 150,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • SQL, Python, R codingintermediate
  • Statistical modelingintermediate
  • Data science (machine learning, predictive analytics)intermediate
  • Data visualizationintermediate
  • Data modelingintermediate

Required Qualifications

  • Technical coding background (experience)
  • Familiarity with data science disciplines (experience)

Responsibilities

  • Drive strategic data-informed decisions
  • Gather and prepare data
  • Execute data analytic approaches
  • Interpret data analyses
  • Develop analytical/statistical models
  • Support risk adjustment projects
  • Develop reporting and visualization frameworks

Target Your Resume for "Data Analyst IV - Medicare, ACA, Risk Adjustment" , Kaiser Permanente

Get personalized recommendations to optimize your resume specifically for Data Analyst IV - Medicare, ACA, Risk Adjustment. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Analyst IV - Medicare, ACA, Risk Adjustment" , Kaiser Permanente

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

SQL, Python, R codingStatistical modelingData science (machine learning, predictive analytics)Data visualizationData modelingHealthcare

Answer 10 quick questions to check your fit for Data Analyst IV - Medicare, ACA, Risk Adjustment @ Kaiser Permanente.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.