What are the responsibilities and job description for the Data Reporting Analyst III - Medicare, ACA, Risk Adjustment position at Kaiser Permanente?
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 Reporting 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.
This individual contributor is primarily responsible for supporting data-informed decisions, gathering data and information on targeted variables in an established systematic fashion, and preparing data for analytic efforts. This position develops, implements, and automates business and reporting solutions and supporting data analysis interpretation.
Essential Responsibilities:
- Pursues self-development and effective relationships with others by proactively providing resources, information, advice, and expertise with coworkers and customers; influencing others through technical explanations and examples; providing occasional mentoring to team members; listening and responding to, seeking, and addressing performance feedback; creating plans to capitalize on strengths and develop weaknesses; anticipating and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.
- Completes work assignments by applying up-to-date expertise in subject area to generate creative solutions; ensuring all procedures and policies are followed; leveraging an understanding of data, and resources to support projects or initiatives; collaborating cross-functionally to solve business problems; identifying and monitoring priorities, deadlines, and expectations; communicating progress and information; identifying, recommending, and implementing ways to address improvement opportunities; and escalating issues or risks as appropriate.
- 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.
- Prepares data for analytic efforts by consolidating data; reviewing data for quality and accuracy; profiling data inaccuracies; and cleaning and creating final data set(s) for analysis.
- Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; summarizing data and results; creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.
- Supports data analysis interpretation by applying findings to contextual settings under the guidance of more senior employees; and developing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.
- Supports 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.
Qualifications:
- Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, Social/Physical/Life Science, Business, or related field and Minimum three (3) 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): Data Extraction; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Business Planning
- Accredited Project Management Certification.
- Accredited Process Improvement Certification.
Salary : $101,200 - $130,900