[Remote] Data Analyst IV - Medicare, ACA, Risk Adjustment

Note: The job is a remote job and is open to candidates in USA. Kaiser Permanente is seeking a Data Analyst to support their Prospective Risk Adjustment Operations team. This individual contributor role focuses on driving strategic data-informed decisions, preparing data for analytic efforts, and developing analytical models to enhance business intelligence within a healthcare environment.

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

Skills

• Minimum one (1) year experience in a leadership role with or without direct reports
• Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum five (5) years experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement
• Knowledge, Skills, and Abilities (KSAs): Negotiation; Data Extraction; Data Visualization Tools; Relational Database Management; Vendor Management; Delegation; Project Management
• 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

Company Overview

• Kaiser Permanente is a health organization that offers disease prevention, mental healthcare, and chronic disease management services. It was founded in 1945, and is headquartered in Oakland, California, USA, with a workforce of 10001+ employees. Its website is https://healthy.kaiserpermanente.org.

Company H1B Sponsorship

• Kaiser Permanente has a track record of offering H1B sponsorships, with 3 in 2025, 1 in 2024. Please note that this does not guarantee sponsorship for this specific role.

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