DaVita is looking for a Manager to support DaVita Integrated Kidney Care (DaVita IKC). DaVita IKC is the renal population health management division of DaVita serving approximately 70,000 end stage renal disease (ESRD) and late stage chronic kidney disease (CKD) patients across the U.A key component of DaVita’s integrated care strategy is our healthcare analytics team, responsible for developing and communicating data analytics and reporting to inform the design and deployment of our care model.
As a Manager on this team, you will be responsible for creating and executing analytic plans, supporting development of reporting tools, managing analyst teammates, and conducting your own analysis that will support new and existing partnerships with nephrologists and other care providers. You will apply your technical, critical thinking, and problem solving skills to aggregate and transform data, synthesize findings, and effectively communicate results. Successful candidates will demonstrate knowledge of SQL and relational database concepts, ability to use visualization tools to create reporting for various audiences, and strong problem solving skills.
Support development and ongoing monitoring of reports to assess performance of clinical quality programs
Design and complete analyses to understand clinical and financial outcomes of a partner providers, along with communicating drivers of outcomes
Partner with clinical, operations, and central teams to design and build tools that assist in collaborative population management
provide leadership and support through project management, prioritization, problem solving, coaching and professional development
Gain knowledge of healthcare concepts, including a robust understanding of kidney disease, claims and billing guidelines, and fundamentals of integrated care
Bachelor’s degree, preferably in business, public health, health informatics, analytics, math, statistics, computer science, or a related field
~ Experience in healthcare claims analytics, and knowledge of medical claims terminology preferred
~3+ years of experience using Google Big Query OR SQL required
~ Python/R preferred
~ Experience using data to create reporting deliverables
~ Proven experience managing analytics teammates directly and/or managing analytics projects from start to finish
~ Experience using Tableau or other data visualization tools

Commitment to DaVitas values of Service Excellence, Integrity, Team, Continuous Improvement, Accountability, Fulfillment and Fun
Strong analytical skills - the ability to accurately perform complex quantitative analyses and quickly learn new data management processes
Focus on analytical process improvement
Medical, dental, vision, 401(k) match, paid time off, PTO cash out
Family resources, EAP counseling sessions, access Headspace®, backup child and elder care, maternity/paternity leave and more
DaVita offers a variety of programs to help strong performers grow within their career and also offers on-demand virtual leadership and development courses through DaVita’s online training platform StarLearning.

At DaVita, we strive to be a community first and a company second. Individuals are recruited, hired, assigned and promoted without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other protected characteristic.

If a candidate is hired, they will be paid at least the minimum wage according to their geographical jurisdiction and the exemption status for the position.
17.13/hour

For location-specific minimum wage details, see the following link: DaVita.jobs/WageRates
DaVita offers a competitive total rewards package, which includes a 401k match, healthcare coverage and a broad range of other benefits. Colorado Residents: Please do not respond to any questions in this initial application that may seek age-identifying information such as age, date of birth, or dates of school attendance or graduation. You may also redact this information from any materials you submit during the application process.