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.

This role focuses on delivering enterprise‑grade reporting, analytics, and data engineering solutions to support Healthcare Economics and broader business initiatives. The resource will work across multiple data sources and platforms to translate complex data into actionable insights, enable scalable data pipelines, and support operational and analytical needs across projects of varying complexity. The role emphasizes stakeholder partnership, data quality, automation, and advanced analytics using modern data and AI/ML technologies.

Primary Responsibilities:

• Reporting and Advanced Analytics
  • Develop and present standard and advanced analytical reports using data from multiple internal and external sources
  • Perform data analysis, statistical analysis, and exploratory analysis to identify trends, performance insights, and optimization opportunities
  • Support complex analytical initiatives that require integration of large, multi‑source datasets
  • Conduct data research and ad‑hoc analysis to support Healthcare Economics use cases and decision‑making
• Data Engineering and ETL Operations
  • Provide end‑to‑end support for ETL / ELT processes, including design, development, testing, and operational support
  • Build and maintain scalable data pipelines using SSIS, Azure Data Factory, Databricks, SQL, and Snowflake
  • Support data enrichment, cleansing, and scrubbing activities to improve data quality and analytical readiness using Python, PySpark, and AI/ML techniques
  • Ensure reliability, accuracy, and maintainability of data pipelines in production environments
• Healthcare Economics and Business Support
  • Partner closely with the Healthcare Economics team to support ongoing and future data infrastructure enhancements, updates, and analytical developments
  • Serve as a core analytics and data resource for all data‑related research and operational activities supporting the business
  • Provide operational support to ensure consistent delivery of business‑critical reporting and analytics
• Stakeholder Engagement and Collaboration
  • Act as the analytics point of contact for internal stakeholders and external business partners
  • Support ongoing data exchange, analysis, reporting, and interpretation of performance results with partner teams
• Translate business requirements into analytical and technical solutions, and clearly communicate findings to technical and non‑technical audiences
• 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:

• Graduate degree or equivalent (B. Tech / MCA preferred) with 3+ax years of relevant industry experience in analytics, data engineering, or related enterprise roles
• Proven hands‑on experience with SQL Server Integration Services (SSIS), Azure Data Factory, and Databricks for building and maintaining enterprise ETL / ELT pipelines
• Proven experience using GitHub and CI/CD practices to support collaborative development, version control, and automated deployment of data pipelines and infrastructure
• Hands‑on experience using Terraform for Infrastructure as Code (IaC), including provisioning and managing cloud resources across environments
• Solid expertise in MS SQL (Fundamentals & T‑SQL) and Snowflake for data analysis, transformation, and reporting
• Solid proficiency in Python and PySpark for large‑scale data processing, automation, and data transformation
• Demonstrated ability to perform data trend analysis and root‑cause analysis using analytical and AI/ML techniques, including Copilot‑style tools where applicable
• Demonstrated solid ability to prioritize and manage multiple tasks effectively in a fast‑paced, enterprise environment
• Proven excellent written and verbal communication skills, with the ability to clearly explain analytical and technical concepts to internal and external stakeholders
• Demonstrated strengths in critical thinking, problem‑solving, decision‑making, facilitation, and analytical reasoning

Preferred Qualification:

• ·       Exposure to the healthcare domain, including Healthcare Economics or population health analytics

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.