Note: The job is a remote job and is open to candidates in USA. Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The Senior Data Analyst is responsible for designing, building, and maintaining scalable data solutions that support analytics, reporting, and operational use cases, ensuring data integrity and usability across stakeholder needs.
Responsibilities
- Design, build, and maintain data pipelines and workflows using Databricks (SQL, PySpark)
- Develop and manage automated file ingestion and transformation processes, including scheduled and event driven file automation
- Design and build curated datasets that power downstream reporting and analytics, ensuring data integrity, consistency, and usability across stakeholder needs
- Maintain and optimize production data pipelines and reporting jobs, including monitoring, troubleshooting, and ensuring reliable end to end data delivery
- Implement and support CI/CD pipelines for data assets using version control and automated deployment practices
- Collaborate with cross functional teams to understand data requirements and translate them into scalable technical solutions
- Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency
- Ensure data quality, validation, documentation, and adherence to enterprise data governance standards
- Support analytics and reporting teams by enabling trusted data sources for downstream tools (e.g., Power BI)
- Participate in code reviews, technical design discussions, and knowledge sharing sessions
- Contribute to continuous improvement of data engineering and analytics best practices
Skills
- 3+ years of experience in data analytics, data engineering, or a related role
- Solid hands on experience with Databricks, including Databricks SQL and PySpark
- Solid SQL skills and experience working with large, structured datasets
- Experience building and maintaining data pipelines, datasets, and automated workflows
- Working knowledge of CI/CD practices and version control systems (e.g., Git)
- Proven ability to independently analyze problems, design solutions, and deliver results
- Proven solid communication skills and ability to collaborate with both technical and non technical stakeholders
- Experience working in cloud based data platforms and enterprise data lake or lakehouse architectures
- Experience supporting analytics or BI tools (e.g., Power BI)
- Experience with file based data ingestion (e.g., CSV, JSON, Parquet) and automation frameworks
- Experience in an enterprise or financial services environment
- Exposure to Agile or DevOps delivery models
- Familiarity with data governance concepts such as metadata, lineage, and access controls
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
Company Overview