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Senior Data Analyst, Clinical Analytics & Reporting - REMOTE
Senior Data Analyst, Clinical Analytics & Reporting - REMOTE-November 2024
Federal Way
Nov 12, 2026
ABOUT DAVITA
We are on a quest to build the greatest healthcare community the world has ever seen. Learn how DaVita—which is Italian for “giving life”—is working.
10,000+ employees
Healthcare
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About Senior Data Analyst, Clinical Analytics & Reporting - REMOTE

  32275 32nd Ave S,Federal Way,Washington,98001-9616,United States of AmericaDavita's Clinical Analytics & Reporting Team is responsible for designing, developing and overseeing analytical solutions for our clinical and operations executives in support of DaVita's clinical strategy. Our team's mission is to improve patient quality of life in terms of care safety, quality, and efficiency by transforming data into actionable information that guides strategic decisions, supports clinical innovation, and informs operating tactics.The Senior Data Analyst's primary objective is to partner with diverse teams from around the enterprise to produce analytical insights that support analytical products across a broad range of clinical initiatives.A successful candidate exemplifies personal behaviors in line with DaVita's core values: service excellence, integrity, team, continuous improvement, accountability, fulfillment, and fun. In this role, a successful candidate will also demonstrate a strong work ethic, creative mindset, adept communication skills, attention to detail, and demonstrated competence in clinical data analysis and statistical methods.Sound like you? Then you might be a great fit for the role of Senior Data Analyst on DaVita's Clinical Analytics & Reporting team.Responsibilities include, but are not limited to:Partner with clinical subject matter experts and operational leadership to identify key clinical questions that can be answered using data to drive clinical goals and objectivesStructure analytic plans that comprehensively address clinical questions and provide a structured methodology and approach for analysisUtilize multiple computational languages, platforms and environments to mine and manage data in preparation for analysisAdhere to best demonstrated practices in clinical analytics from the fields of informatics, biostatistics, epidemiology, and data science to analyze data and provide unbiased and unconfounded answers to clinical questionsSynthesize results in a non-technical manner to inform recommendations and next steps for leadershipPartner with cross-functional teams to socialize analytic findings and drive management processes to meaningful resultsBecome an subject matter expert and thought partner in clinical and methodologic areasMentor junior teammatesWilling to travel (up to 10% of time)Education:Required:Bachelor's degree in an analytic/quantitative discipline from an accredited university (e.g. epidemiology, biostatistics, statistics, mathematics, etc.) plus 2-5 years of relevant experiencePreferred:Master's degree in epidemiology, biostatistics, or a related field from an accredited university plus at least two years of relevant experienceTechnical Skills:Required:Demonstrated experience and expertise with statistical and/or epidemiological methods including: data management and cleaning, study design, causal inference analysis, epidemiologic modelingProficiency in at least one data analysis platform/language (e.g. R, SAS, SPSS, etc.)Ability and willingness to become proficient in additional platforms/programming languages (e.g. SQL, Tableau, Python, etc.)Preferred:Proficiency with database management and/or query languages (e.g. SQL, PostgreSQL, Netezza SQL, etc.)Proficiency with data visualization and reporting software (e.g. Tableau, IBM Cognos, etc.)Other Requirements:Ability to work independently as part of a high-performing teamDemonstrated success working in a dynamic, fast-paced environment where high-quality and precise work product is a must and is frequently delivered or presented to leadership, including the Chief Medical Officer (CMO) and other executivesSuccessful in managing multiple priorities and deadlines at the same time

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