Senior 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.

The Lead Data Analytics Engineer serves as a technical leader responsible for enterprise analytics architecture, cloud data platform strategy, and delivery oversight. This role drives large-scale analytics initiatives leveraging Power BI, Databricks, Snowflake, and modern cloud platforms while mentoring teams and partnering with business leaders to deliver measurable business value.

Primary Responsibilities:

• Solution Architecture Strategy
  • Define end-to-end analytics architecture for enterprise solutions
  • Lead design of scalable reporting, semantic modeling, and cloud data ecosystems
  • Establish standards for Power BI, Snowflake, Databricks, and Microsoft Fabric implementations
  • Drive modernization initiatives, platform optimization, and automation strategies
• Technical Leadership
  • Provide architectural guidance to developers, engineers, and analysts
  • Conduct design reviews, code reviews, and technical governance sessions
  • Lead performance optimization and enterprise scalability efforts
  • Evaluate emerging technologies and analytics capabilities
• Enterprise Delivery
  • Manage multiple analytics workstreams and cross-functional teams
  • Partner with business leaders to align analytics investments with organizational priorities
  • Lead complex transformation initiatives involving data modernization and self-service analytics
• 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:

• Bachelor''s or Master''s degree in Computer Science, Analytics, Engineering, or related field
• 6+ years of analytics, BI, and data engineering experience
• 4+ years in Power BI architecture and enterprise reporting
• Solid experience with:
  • Enterprise data modeling
  • Data warehousing
  • SQL optimization
  • PySpark/Python
  • CI/CD and DevOps practices
  • Cloud architecture patterns
• Proven deep expertise in Snowflake, Databricks, and cloud-based data ecosystems

Preferred Qualifications:

• Azure Data Engineering certifications
• Microsoft Fabric architecture experience
• Experience leading enterprise modernization programs
• Healthcare or payer analytics experience
• AI-enabled analytics and conversational BI experience

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.