remote
Principal Data Analyst - Optum
Data Analyst
Lead advanced data analysis for global health initiatives, leveraging Python, SQL, Tableau, and statistical modeling to transform structured data into actionable insights that drive care optimization and improve patient outcomes.
About the role
Key Responsibilities
- Design, develop, and maintain complex SQL queries and data pipelines to extract, transform, and load structured health data from multiple sources.
- Apply advanced statistical techniques and machine learning models in Python to uncover trends, predict outcomes, and support evidence‑based decision making.
- Create interactive dashboards and visualizations in Tableau that communicate findings to cross‑functional stakeholders and influence strategic initiatives.
- Collaborate with data engineers, clinicians, and product teams to define data requirements, validate data quality, and ensure compliance with regulatory standards.
- Mentor junior analysts, review code, and promote best practices in data governance and documentation.
Requirements
- 10+ years of experience in data analysis within a healthcare or large enterprise environment.
- Proficiency in Python (pandas, NumPy, scikit‑learn) and SQL (PostgreSQL, BigQuery).
- Expertise in Tableau or similar BI tools for dashboard development.
- Strong statistical background with experience in hypothesis testing, regression, and predictive modeling.
- Excellent communication skills and ability to translate complex data into clear, actionable insights.