Principal Data Analyst
UnitedHealth Group View all jobs
- Dublin
- Permanent
- Full-time
- Develop scenario models to evaluate the future impact of manufacturer discounts and formulary strategies
- Perform data extraction, transformation, and feature engineering using SQL, Databricks and Python
- Develop tracking reporting and self-serve analytical solutions to monitor trends in drug utilization and the impact of formulary decisions
- Collaborate with cross-functional teams to ensure modelling assumptions are aligned and accurately reflect changes in Medicare design
- Closely partner with internal customers and key stakeholders to translate business needs into analytical solutions
- Document methodologies, code, and results in a clear and reproducible manner
- Stay current with emerging analytics techniques and tools relevant to healthcare
- Contribute to internal knowledge sharing and reusable analytical assets
- Bachelor's degree (or higher) in a quantitative field or equivalent experience
- Proven experience in data science, statistical modeling, or advanced analytics
- Demonstrated solid SQL skills for working with large, complex datasets
- Demonstrated advanced level of proficiency with MS Excel for financial calculations and reporting
- Demonstrated proficiency in Python for statistical and machine learning applications
- Demonstrated ability to validate models and interpret results rigorously
- Proven experience in identifying and resolving data quality issues at source
- Proven experience in healthcare, PBM, or pharmaceutical analytics
- Demonstrated familiarity with cloud-based platforms such as Databricks or Spark
- Demonstrated familiarity with PowerBI and workflow automation tools such as Alteryx would be an advantage
- Proven exposure to version control tools (Git preferred) and collaborative coding practices
- Proven experience contributing to shared codebases or analytical libraries
- Demonstrated solid attention to detail and commitment to high-quality, well-documented work
- Proven ability to work effectively in a distributed, cross-functional team
- Curiosity and drive to explore new analytical approaches and technologies
- Demonstrated solid communication skills and proven ability to collaborate with stakeholders from multiple levels and disciplines