Manager, Clinical Analytics and Reporting

DaVita Kidney Care

full-time

Posted on: 8/31/2025

Origin: • 🇺🇸 United States • California, Colorado, Pennsylvania

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💰 $82,000 - $121,000 per year

Mid-LevelSenior

CognosGoPostgresPythonSQLTableau

About the role

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 objectives Structure analytic plans that comprehensively address clinical questions and provide a structured methodology and approach for analysis Utilize multiple computational languages, platforms and environments to mine and manage data in preparation for analysis Manage a broad portfolio of projects and stakeholders Adhere 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 questions Synthesize results in a non-technical manner to inform recommendations and next steps for leadership Partner with cross-functional teams to socialize analytic findings and drive management processes to meaningful results Become a subject matter expert and thought partner in clinical and methodologic areas Mentor and supervise junior teammates Willing to travel (up to 10% of time)

Bachelor’s degree in an analytic/quantitative discipline from an accredited university (e.g. mathematics, computer science, biostatistics, statistics, informatics, etc.) Prior relevant work experience required Technical Skills: Demonstrated experience and expertise with data visualization and reporting software (e.g. Tableau, IBM Cognos, Power BI, etc.) Demonstrated experience and expertise with database management and/or query languages (e.g. SQL, PostgreSQL, Netezza SQL, etc.) Ability and willingness to become proficient in additional platforms/programming languages (e.g. SQL, Tableau, Python, etc.) Experience with ideating, developing, and deploying metrics/Key Performance Indicators Strong Microsoft Office skills Preferred: Experience with statistical and/or epidemiological methods including: data management and cleaning, study design, causal inference analysis, epidemiologic modeling Proficiency in at least one data analysis platform/language (e.g. R, SAS, SPSS, etc.) Experience leading and developing strong technical teams Ability to work independently as part of a high-performing team Demonstrated success working in a dynamic, fast-paced environment Effective communicator (i.e. ability to explain complex and detailed analyses or other matters in concise and simple terms for a wide-range of stakeholders)