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Data Reporting and Analytics Consultant IV - Power BI, DataBricks

Kaiser Permanente
  • Pasadena, CA
    2 days ago

    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 Data, Reporting and Analytics Consultant IV is a senior individual contributor on the Risk Adjustment Reporting and Analytics team, a Government Programs function responsible for delivering timely, high-quality production reporting and self-service insights into risk score performance and its drivers across Kaiser Permanente markets. The team supports risk-adjusted Medicare, Affordable Care Act, and Medicaid programs. This role collaborates with analysts, business partners, and technical stakeholders to design, develop, and maintain trusted data models and business intelligence solutions. A primary focus will be building scalable data foundations for Power BI and translating complex financial and operational data into clear, actionable reporting. The consultant will be expected to independently own assigned solutions, clarify analytical requirements, apply consistent business logic, and contribute technical expertise to broader team decisions. Near-term priorities include expanding the measures, business logic, and analytical capabilities available through the team-s data models and supporting the modernization of the reporting platform as the underlying data environment transitions from SQL Server and Synapse to Databricks. Success requires hands-on experience developing data visualizations and working with relational data, with particular value placed on Power BI, DAX, and SQL. Candidates should also understand ETL processes, dimensional modeling concepts such as star schemas, and modern data pipelines. Experience with Python, Databricks, or risk adjustment 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, preparing data for analytic efforts, and interpreting data analyses. This position executes creative data analytic approaches leading to actionable outcomes, develops, implements, and automates business and reporting solutions, 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.
    • 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, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; evaluating and summarizing data and results; creating summary statistics; developing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; reporting to stakeholders on key findings; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.

    Numbers & Facts

    LocationPasadena, CA
    IndustryHealthcare Services
    Company Size10,000 employees or more
    Year Founded1945
    Websitehttp://www.kp.org/careers

    About Company

    At Kaiser Permanente, we are relentless in our pursuit of excellence. Driven by our mission to provide the highest quality preventive medicine, we are committed to eliminating health care disparities, and to making lives better through innovation, technology, and research. Our desire to deliver the best possible care inspires us to promote wellness among our members, communities, and each other. It also fuels our belief that everyone — regardless of circumstance — deserves access to affordable care, which further drives our motivation to expand our reach. Founded nearly 80 years ago, our unique business model sets us apart — positioning us to drive improvements across the industry and around the world.

    Skills

    • Algorithmsunmatched
    • Analysis Skillsunmatched
    • Business Intelligenceunmatched
    • Business Modelunmatched
    • Business Solutionsunmatched
    • Business Supportunmatched
    • Consultingunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Data Collectionunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Qualityunmatched
    • Data Setsunmatched
    • Data Visualizationunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Dimensional Modelingunmatched
    • Documentationunmatched
    • Financial Operationsunmatched
    • Governmentunmatched
    • Help Deskunmatched
    • Medicaidunmatched
    • Medicareunmatched
    • Metricsunmatched
    • Microsoft SQL Serverunmatched
    • Model Validationunmatched
    • Needs Assessmentunmatched
    • Power BIunmatched
    • Problem Solving Skillsunmatched
    • Procedure Implementationunmatched
    • Process Improvementunmatched
    • Project Planningunmatched
    • Python Programming/Scripting Languageunmatched
    • Reporting Skillsunmatched
    • Requirements Managementunmatched
    • Riskunmatched
    • SQL (Structured Query Language)unmatched
    • Scalable System Developmentunmatched
    • Star Schemaunmatched
    • Statistical Modelingunmatched
    • Statisticsunmatched
    • Support Documentationunmatched
    • Technical Trainingunmatched
    • Technical/Engineering Designunmatched
    • Time Managementunmatched
    • Training/Teachingunmatched
    • eCommerceunmatched

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