Stellar Health aims to solve the inefficiencies in the US Healthcare system by helping primary care providers prioritize patient health outcomes over the quantity of services. The company's platform supports providers at the point of care, delivering real-time patient information, activating staff, and offering incentives for quality care. The Data Analyst will help inform business decisions by analyzing healthcare operations and engagement data, identifying trends, and uncovering opportunities for improved efficiency and growth.
Requirements
- Strong proficiency in SQL for data extraction and manipulation.
- Experience with data analysis using Python or R (e.g., Pandas, NumPy) is a plus.
- Proven ability to create compelling data visualizations and reports using tools like Tableau, Looker, or Power BI.
- Familiarity with healthcare data (e.g., claims, EMR) or other complex, large datasets.
- Demonstrated ability to translate business questions into analytical problems and communicate findings clearly to both technical and non-technical audiences.
Responsibilities
- Conduct detailed analyses of our healthcare operations and engagement data to identify trends, understand performance drivers, and uncover opportunities for improvement.
- Design, build, and maintain insightful reports and interactive dashboards using various data visualization tools to monitor key metrics and track business performance over time.
- Convert complex analytical findings into clear, compelling, and actionable insights.
- Present these findings to business stakeholders across different departments to inform decision-making and drive operational enhancements.
- Effectively communicate analytical results and insights to both technical and non-technical audiences through well-structured presentations, written reports, and intuitive data visualizations.
- Partner closely with Product Data Scientists and the Analytics Engineering team to contribute to our shared data assets, ensure data quality, and align on data definitions to support reliable analysis.
- Actively share analytical findings, best practices, and methodologies with the team to promote a collaborative environment and maximize the impact of our data across the organization.
Other
- A Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent practical experience.
- 2-4 years of experience as a Data Analyst, demonstrating the ability to deliver actionable business insights.
- You'll love this job if you are passionate about tackling complex challenges, seeing your work directly influence leadership decisions, and actively contributing to the growth of impactful analytical capabilities and data strategy.
