Schedule:

Monday - Friday, daylight

Primary Responsibilities:

Perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid payment models Support the development of payment calculations, conduct financial and trend analysis, calculate quality metrics, and perform fast-paced ad-hoc analysis to quickly address client needs Work with clients to verify analysis parameters and specifications Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy Efficiently query large databases of healthcare claims and eligibility data Write detailed specifications and documentation of data processing and analytical steps Write effective and efficient code both independently and under the guidance of project managers using best practice quality control procedures Maintain a consistently high degree of accuracy and attention to detail in all tasks Work effectively and cooperatively as a member of a project teams Prepare data and information for internal as well as external use, contribute to reports, and assist with project coordination tasks 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.

Required Qualifications:

4+ years of experience in health/analytics related field 4+ years of experience using Python, SQL or R in a research, consulting, or business environment Experience working with medical claims and enrollment data in large data warehouse environments Experience in preparing data and information and contributing to reports and presentations Experience working on implementing or evaluating value-based payment programs Experience working in Snowflake or Databricks environments Familiarity with healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts) Proven excellent oral and written communication skills, solid interpersonal skills, and a focus on meeting deadlines

Preferred Qualifications:

Experience conducting statistical analysis to inform health policy Experience with databases having complex structures and relationships, such as the Integrated Data Repository or Chronic Conditions Warehouse Experience managing and analyzing large datasets using SAS grid and other parallel processing techniques Experience with other software such as Excel (e.g., pivot tables, VBA) Understanding of Medicare and Medicaid payment methodologies •All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline:

This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. 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