Data Analytics Analyst at Canon USA supporting Revenue Operations with data analysis and strategic pricing. Employing SQL, Python, and Power BI for informed business decisions and digital transformation.
About the role
- Senior Data Analyst utilizing healthcare datasets to enhance clinical impact at Stellar Health. Bridging payer data sets and application data for actionable insights and strategic decision-making.
Responsibilities
- Bridge the gap between massive, longitudinal payer data sets and granular Stellar application data.
- Design and maintain sophisticated data products.
- Ensure our reporting accounts for n-size volatility and population shifts.
- Convert complex analytical findings into compelling "business stories."
- Collaborate with Product Data Scientists and Analytics Engineers to harden our data infrastructure.
- Actively raise the technical bar for the analytics team.
Requirements
- A Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent practical experience.
- 6–9 years of experience in data analytics, with a significant portion dedicated to Healthcare Economics, Value-Based Care, or Claims Analysis.
- Advanced proficiency in SQL.
- Familiarity operating within the modern BI and ETL landscape generally.
- Proven ability to apply statistical logic to business problems.
- The ability to move beyond "what happened" to "why it matters."
Benefits
- Medical, Dental and Vision Benefits
- Flexible PTO
- Universal Paid Family Leave
- Company sponsored One Medical memberships and Citibike memberships
- Medical Travel Benefits
- A monthly wellness stipend that gives employees the freedom to choose where they spend their cash, whether it be on wellness, pet care, childcare, WFH items, or charitable donations
- Stock Options & a 401k matching program
- Career development opportunities like Manager Training, coaching, and an internal mobility program
- A broad calendar of company sponsored social events that for our in-office and remote employees
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