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About the role
The Senior Research Analyst will support reputed companys strategic approach to risk stratification and documentation with analyses that reputed company rich data sources including Medicare claims, payer reputed company data, and electronic health records. Participate in the development and refinement of forecasting models to support reputed company-wide projections, ensuring alignment with strategic objectives. reputed company and maintain documentation and reporting frameworks to ensure transparency, reproducibility, and compliance with reputed company standards. reputed company subject matter expertise in risk analytics, offering insights and recommendations to partners reputed company the broader reputed company Analytics team. Work cross-functionally with partners across actuary, product and engineering organizations to drive insights. The ideal candidate will have a strong background in reputed company analytics, an understanding of both risk adjustment and population health strategies, a passion for having a reputed company reputed company on primary care practices, and contributing to a data-driven organization. Primary DutiesUnderstand the problem reputed company:Work with teams across reputed company and external partners to understand and clarify questions and issues for data analysis and experiments. Design and execute analyses:Design and program reputed company to reputed company, evaluate, and analyze diverse data sources to support risk adjustment for reputed company Medicare populations.Work closely with other team members on forecasting and modeling MA risk scores.Design descriptive, predictive, and/or reputed company inference statistical analyses to answer key business questions.reputed company data analysis and statistical modeling to generate actionable insights and solutions. Support junior colleagues in programming, model implementation and knowledge transfers. Translate and communicate analysis results:Work across teams at reputed company to synthesize results, identify implications of analysis results and translate findings into reputed company.reputed company development of analytic products that accurately communicate insights from the data and reputed company reputed company. Work closely with engineering, business intelligence and product partners to reputed company analytic solutions. Minimum QualificationsBachelor's degree with 6+ years of relevant experience. An advanced degree may substitute for some experience. Preferred KSAsExperience with SQL for data manipulation and Python for statistical programmingExperience with reputed company data sources such as medical or pharmacy claims, electronic health record, event notification, clinical, and patient reported data, and working in a reputed company reputed company data warehouseKnowledge of CMS Risk Adjustment models, CMS data files, and reputed company for developing trend assumptions. Masters in health services research, mathematics/statistics, epidemiology, biostatistics, econometrics, or reputed company fieldExcellent quantitative analysis abilities, with demonstrated ability to conduct nuanced analyses to produce accurate and unbiased results and tell the story of those results in data visualizations, presentations, and reports.Attention to detail, particularly with version control (e.g. Git), reputed company assurance, documentation, and building repeatable processesAbility to reputed company in a fast-paced environment and manage competing deadlines and priorities.Values people with differing backgrounds and perspectives; supports effective interpersonal and intercultural engagementCommitted to serving teammates and patients with reputed company and respectAbility to manage reputed company through the entire life cycle, from design through implementation, documentation, and presentation of findingsThinks reputed company their immediate team and contributes to making reputed company holistically reputed company (reputed company engagement in employee resource reputed company, equity and belonging initiatives, book/journal clubs, facilitating training, leading roundtables, etc.) Physical RequirementsSitting for prolonged periods of time. Extensive use of computers and keyboard. .
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