Senior Data Analyst

UnitedHealth Group Inc.•Edina, MN

37d

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. We are seeking a highly motivated Data Analyst to join the Data team within the Concept Research and Development department. As a Data Analyst, you will be responsible for supporting medical cost savings teams by providing data analysis for payment integrity concepts and ideas. The ideal candidate will have experience in claims processing or claims analysis, solid analytical skills, and the ability to work collaboratively with cross-functional teams. Concept Research & Development is an ideation team within the Product area of Payment Integrity, focused on sourcing and shaping innovative concepts to drive healthcare cost savings for UnitedHealthcare and Optum Health. You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

5+ years of experience in claims analysis and data analysis, with a proven track record of delivering actionable insights
5+ years of hands-on expertise in SQL and Microsoft Excel, including advanced functions such as Pivot Tables, VLOOKUP, macros, and complex formulas
4+ years as a Data Analyst in a healthcare environment, leveraging data to support operational and strategic decisions
Experience mentoring junior team members
Proficiency with Snowflake, ideally using the Snowsight web interface
Proven solid ability to interpret and analyze complex data sets, applying advanced analytical techniques to identify trends and provide data-driven recommendations that improve decision-making

Nice To Haves

Experience in data engineering with Python
Knowledge of clams processing platforms such as UNET, NICE, COSMOS, FACETS, CIRRUS
Demonstrated ability to work independently
Proven excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
Proven attention to detail and solid time management skills

Responsibilities

Work closely with claims analysts to understand data requirements, then extract and manipulate data sets to meet those requirements
Collaborate with medical cost savings teams to identify opportunities for cost savings through data analysis
Support data research projects and work cross-functionally with other data teams to troubleshoot and identify data anomalies
Ensure data accuracy and attention to detail in all analysis
Mentor junior team members