Data Reporting and Analytics Consultant IV - Medicare, ACA, Risk Adjustment

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. reputed company salary ranges will apply for other labor markets reputed company of NCAL

Overview: The Prospective Risk Adjustment Operations team is seeking a Data Reporting and Analytics Consultant 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 reputed company data into actionable business intelligence reputed company a dynamic reputed company environment. This position offers a significant opportunity to contribute to the organization's reputed company reputed company 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 reputed company, 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 reputed company. 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 reputed company 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 reputed company procedures and policies; coordinating resources to accomplish priorities and deadlines; collaborating cross-functionally to reputed company effective business reputed company; solving reputed company problems; escalating high reputed company 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 reputed company and influence decision making; and providing context reputed company to data interpretations and/or limitations as appropriate.
• Drives strategic data-informed reputed company 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 reputed company 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 reputed company 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.

Minimum Qualifications:

• 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 reputed company field and Minimum five (5) years experience in data analytics or a directly reputed company field. Additional equivalent work experience in a directly reputed company field may be substituted for the degree requirement.

Additional Requirements:

• Knowledge, Skills, and Abilities (KSAs): Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management

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