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 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.

As a Real-World Evidence (RWE) Data Analyst the candidate will analyze large, complex datasets from sources like electronic health records, claims data, and registries to extract insights that inform healthcare decision-making. They will apply statistical methods, machine learning, and data visualization to understand disease patterns, treatment effectiveness, and the impact of interventions in real-world settings. The role also involves collaborating with cross-functional teams, communicating findings to diverse audiences, and contributing to the development of data science solutions for business needs.

Primary Responsibilities:

Data Analysis and Modeling skills:

• Design, plan, and execute large-scale data analysis using AI/ML, statistical theories, analytical methods, and programming skills
• Develop and implement machine learning algorithms and predictive models to address business challenges and answer research questions
• Conduct exploratory data analysis to identify trends, patterns, and relationships within real-world data
• Utilize various data sources, including electronic health records (EHR), claims data, registries, and patient surveys
• 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:

• Experience with statistical software packages and machine learning libraries
• Experience of Azure environment and azure services will be add-on
• Familiarity with data visualization tools
• Solid understanding of data management and database systems
• Proficiency in programming languages like Python, R, SQL and SAS

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.