The Analyst, Medical Economics, collaborates with business partners to understand and address business problems through data-driven solutions. This role requires a self-directed individual with high personal standards of work, capable of identifying opportunities to increase efficiency across the organization. Ultimately, the role of the Data Analyst is to generate actionable insights that help leadership make informed, data-driven decisions.
Requirements
- Familiarity with programming languages such as SQL, Python or R
- Experience with data visualization and reporting techniques using tools like Tableau, Power BI, or similar
- Advanced knowledge of MS Office (Excel, PowerPoint, etc.)
- Knowledge of statistical methodologies and tools, including experimentation design
- Demonstrated success analyzing large datasets
- 1+ years' of working experience with SQL
- 1+ years' of working experience with Python
Responsibilities
- Leverage leading analytical tools to generate insights that facilitate key decisions by department leadership
- Create accurate reports or insightful and user-friendly dashboards that meet stakeholders’ needs and lead to business insights
- Identify and monitor cost and utilization trends and the root causes in health plan trend performance, providing recommendations for solutions
- Utilize statistical tools to identify, analyze, and interpret patterns and trends in complex data sets
- Use advanced analytical tools and software for data analysis and modeling
Other
- This is a hybrid opportunity with a work schedule consisting of reporting to our office 3 days per week located at 100 Church Street, NYC.
- Excellent communication skills, both written and verbal, with the ability to present complex information clearly and concisely.
- Strong problem-solving skills and attention to detail
- Ability to work independently and as part of a team
- Continuous learning mindset
