Senior Data Analyst

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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

• Implement statistical and/or machine learning approaches to support research efforts
• Document research findings thoroughly and maintain well organized code on github
• Collaborate within cross-disciplinary research teams including business-facing leaders and expert domain scientists
• Communicate effectively both verbally and in writing to a range of audiences
• Leverage analytics and challenge the status quo while maintaining a high attention to detail
• Design, code and execute programs to extract, aggregate and manipulate pharmacy and medical claims from various sources, identify data integrity issues
• Develop new and maintain existing SAS programs to analyze healthcare claims to support ad hoc data requests, including data processing, data cleansing and exploratory data analysis (EDA)
• Transform data and/or develop insights for use in business decisions
• Contribute to knowledge sharing, ideas and information relating to current data analysis technologies
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Degree in Statistics, Computer Science, Mathematics, or related field
• 7+ years of hands-on experience in developing machine learning, deep learning and/or NLP based application
• Experience with inferential statistics and predictive modeling
• Experience applying a broad range of statistical, mathematical, or computational approaches using data to solve problems
• Experience translating research questions or business requirements into actionable work
• Solid proficiency in advanced data science tools such as R , Python, Spark, SQL
• Working knowledge of relational databases and database structures

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.