Posted in

Sr Analyst – Medical Risk Evaluation – Davita Ikc

Sr Analyst – Medical Risk Evaluation – Davita Ikc

CompanyDaVita
LocationDenver, CO, USA
Salary$68000 – $100000
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior

Requirements

  • Bachelor’s degree or equivalent experience in business, public health, health informatics, analytics, math, statistics, computer science, or a related field
  • 5-7 years of experience with business/financial analysis; healthcare preferred
  • 3-5 years of writing SQL required, with Snowflake preferred
  • Experience with Tableau or similar analytics tools required
  • Extensive Excel experience with data manipulation and pivot tables

Responsibilities

  • Write SQL queries against data warehouses containing clinical operations and medical claims data to support analytic requests and delivery of summarized outcomes and insights
  • Develop summary level reporting to assist operations leaders in monitoring care team performance and understanding areas of success or opportunity
  • Leverage reporting and supporting data to monitor operations performance and identifying insights around clinical, demographic and medical cost trends and contribution to outcomes
  • Partner with stakeholders to define technical and business requirements for reporting and analytic requests
  • Design reporting and communication materials to facilitate consistent interpretation of program performance to DaVita IKC leadership
  • Develop executive-level communications, typically done in PowerPoint, and adapt communication for relevant internal stakeholders (clinical, finance, operations)

Preferred Qualifications

  • Build relationships with both internal and external partners and clients to ensure the success of DaVita IKC programs
  • Embrace working in a fast-paced environment where change is constant
  • Focus on analytical process improvement and efficiencies
  • A self-starter mentality and thoughtful execution abilities
  • Strong written and verbal communication skills
  • Excellent organizational and prioritization skills
  • Successful candidates will have an interest and strengths in data analysis and innovation