Kaiser Permanente's 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.
Requirements
- 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.
- Data Extraction
- Data Visualization Tools
- Relational Database Management
Responsibilities
- 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.
Other
- Remote from any KP location in CA, OR, CO, WA, GA, MD, VA, HI or D.C. Only.
- 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.
- Two (2) years project management experience.
- Three (3) years experience working with Cognos.
