Data Analyst - Risk Adjustment Analytics | Analytics and Insights Engineer III

Deloitte•Washington, DC
•$113,000 - $188,400•Hybrid

About The Position

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Requirements

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
  • Bachelor's degree
  • 3+ years of experience in healthcare data analysis or analytics support
  • 3+ years of strong SQL skills
  • 3+ years of experience working with healthcare claims, enrollment, and performance measurement data
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel 15-20%, on average, based on the work you do and the clients and industries/sectors you serve

Nice To Haves

  • 2 years of experience with Medicare, risk adjustment, or value-based care analytics
  • 1+ year of Python or R for deeper analysis and repeatable workflows
  • 2 years of experience supporting validation efforts in healthcare analytics environments

Responsibilities

  • Support risk adjustment analytics, data validation, and business analysis across healthcare datasets.
  • Perform exploratory analysis across claims, enrollment, and related healthcare datasets
  • Conduct data profiling and assess data quality, completeness, and consistency
  • Develop filtering logic and segmented views to support validation and business questions
  • Analyze KPIs and performance trends related to risk adjustment and population outcomes
  • Support cohort segmentation and targeted analytical investigations
  • Identify anomalies, summarize findings, and communicate implications clearly
  • Partner with cross-functional teams to support validation efforts and analytical decision-making
  • Help develop repeatable analytical approaches for ongoing reporting and issue resolution

Benefits

  • Discretionary annual incentive program
  • Reasonable accommodations for people with disabilities
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