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.
Primary Responsibilities:
•Apply structured, hypothesis-driven problem solving to translate business questions into analytical approaches and clear insights
•Analyze complex, multi-source healthcare data to identify trends, drivers, and opportunities for improvement across cost, quality, and growth
•Synthesize findings into clear, decision-ready recommendations with a solid 'so what' and quantified business impact
•Partner with stakeholders in a matrixed COE environment to shape problem statements, align on priorities, and drive adoption of insights
•Communicate insights through compelling storytelling tailored to executive and operational audiences
•Identify and prioritize opportunities for optimization
•Support end-to-end analytical delivery, including data exploration, feature engineering, model development (as applicable), and results interpretation
•Collaborate with data engineering and data platform teams to ensure data availability, quality, and usability for analytics use cases
•Contribute to development of reusable analytical assets, frameworks, and best practices that scale impact across the COE
•Ensure analytical outputs are accurate, reliable, and aligned to business context, with clear assumptions and limitations
•Continuously improve analytic approaches, streamline processes, and reduce low-value or redundant work
•Support the development of data-driven decision making by educating stakeholders and promoting evidence-based practices
•Works with less structured, more complex issues
•Serves as a resource to others
•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
Required Qualifications:
•Degree in analytics, statistics, economics, engineering, computer science, or related field
•6+ years of experience in analytics, strategy, or data-driven problem solving
•Experience working with large, complex datasets including data extraction, transformation, and analysis (SQL, Python, or similar tools)
•Experience translating data into insights and recommendations for business or operational stakeholders
•Experience communicating findings clearly to both technical and non-technical audiences
•Experience working in a cross-functional, matrixed environment
•Proven solid analytical thinking with the ability to structure ambiguous problems and identify key drivers
