Job Description
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.
Key Responsibilities
Design, build, and maintain scalable data pipelines, analytical datasets, and reporting assets that support customer experience, market research, and business performance measurement
Develop statistical, machine learning, forecasting, segmentation, and advanced analytics solutions to answer complex business questions
Integrate survey, behavioral, operational, digital, and third-party data to create a more complete view of customers, markets, and business outcomes
Use automation, AI, and modern analytics tools to improve research operations, analytical efficiency, and insight generation
Partner with research, business, technology, and data governance stakeholders to deliver reliable, scalable, and well-governed analytics solutions
Communicate findings, recommendations, and business implications clearly to technical and non-technical audiences, including leadership stakeholders
Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements
Requirements & Experience
3+ years of experience in data science, analytics engineering, data engineering, business intelligence, or advanced analytics
Solid programming experience in Python and SAS
Experience building analytics pipelines, data workflows, dashboards, statistical models, or machine learning solutions
Experience with cloud or enterprise data platforms such as Azure, Databricks, Snowflake, AWS, Google Cloud, or similar tools
Advanced SQL skills and experience working with large-scale structured and unstructured datasets
Proven solid ability to translate business questions into analytical approaches and communicate insights to stakeholders
Qualifications
Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, Engineering, Business Analytics, Market Research, or a related quantitative field