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, with guidance, to translate well-defined business questions into analytical approaches
•Analyze healthcare data from one or a limited number of sources to identify trends and opportunities for improvement across cost, quality, and growth
•Summarize findings into clear, decision-ready insights with a quantified business impact, typically reviewed by a senior analyst before distribution
•Support stakeholders in a matrixed COE environment by gathering requirements, documenting problem statements, and helping align on priorities
•Communicate insights clearly to operational audiences; assist senior analysts in preparing executive-facing storytelling
•Help identify and flag opportunities for optimization for review and prioritization by senior team members
•Support analytical delivery tasks such as data exploration, feature engineering, and results interpretation under supervision
•Collaborate with data engineering and data platform teams to support data availability, quality, and usability for assigned use cases
•Contribute to reusable analytical assets, frameworks, and best practices as directed by senior team members
•Ensure analytical outputs are accurate and reliable, with clearly documented assumptions and limitations
•Support process improvements to reduce low-value or redundant work
•Assist in educating stakeholders on data-driven decision making and evidence-based practices
•Works with well-defined, moderately complex issues
•Developing as a resource to others within the immediate team
•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
•4+ years of experience in analytics, strategy, or data-driven problem solving
•Hands-on experience with SQL, Power BI, Snowflake, and Azure Data Factory
•Working experience with Python for data extraction, transformation, and analysis
•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
•Foundational understanding of Solution Architecture and Data Engineering concepts as applied to analytics
•Proven exposure to GenAI / LLM / RAG (AI) tools and use cases
•Proven solid analytical thinking with the ability to work through moderately ambiguous problems with guidance
