Affordability Analytics Senior Consultant - Remote

UnitedHealth Group•Eden Prairie, MN

22h•Remote

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Requirements

Bachelor's degree in a STEM field (e.g., statistics, mathematics, computer science, engineering, or a related discipline) or relevant experience
5+ years of rigorous hands-on health care data analytics experience using SQL
3+ years in statistical modeling, machine learning, or large data analysis using Python
2+ years of experience in healthcare analytics using claims or electronic health records
Experience managing Git repositories
Proven exceptional verbal and written communication skills, with a solid ability to clearly articulate complex ideas and technical concepts to diverse audiences
All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy

Responsibilities

Use knowledge of healthcare as a business to uncover and translate total cost of care management opportunities into measurable metrics, hypotheses, and analytic plans (baseline, benchmarks, segmentation, drivers, intervention sizing)
Maintain and evolve Snowflake SQL semantic layer to measure drivers of healthcare utilization and cost, and uncover variations in care patterns
Expand scope of analytics by using techniques like clustering, anomaly detection, and propensity score matching, to better understand areas of opportunity to improve patient care while avoiding unnecessary use of resources
Develop a deep understanding of affordability strategies in healthcare by engaging with clinical and administrative stakeholders
Have a growth mindset to create strategic and scalable solutions, while addressing tactical considerations
Contribute to development of financial models, including cost benefit analysis, to estimate potential opportunities and measure expected ROI
Ensure methodologies used to model affordability impact are consistent, statistically sound, and transparent, building trust and credibility with regional and enterprise partners
Proactively identify data issues and hold data providers accountable for timely resolution