9amHealth is an AI-enabled virtual specialty care platform focused on managing high-cost chronic conditions at scale. The company is seeking a Senior Data Analyst to join its Data & Analytics team, partnering with the Customer Success organization to deliver best-in-class reporting and analytics.
Requirements
- Own client-facing analytics: build, maintain, and continuously improve the dashboards and reports used in Quarterly Business Reviews and ad hoc client requests.
- Partner closely with the Customer Success team to understand client needs, translate business questions into analytical frameworks, and deliver insights that strengthen client relationships.
- Design and build production-quality LookML models, explores, and dashboards in Looker, serving as the team's Looker subject matter expert.
- Write complex SQL queries across Redshift, Aurora/MySQL, and Athena to extract, transform, and analyze data at scale.
- Develop Python scripts and notebooks for data wrangling, automated reporting, and analytical workflows that go beyond what SQL alone can do.
- Leverage AI tools (e.g., Claude, GitHub Copilot, Cursor) in day-to-day analytics work to accelerate query development, code generation, data exploration, and documentation.
- Identify and champion AI-powered use cases within the analytics workflow, such as automated anomaly detection, natural-language data summarization, predictive insights for client reporting, or AI-assisted QBR narrative generation.
- Proactively explore data to surface trends, anomalies, and opportunities, and present findings with clear business context and actionable recommendations.
- Define and monitor data quality metrics for client-facing reporting, ensuring accuracy, consistency, and timeliness.
- Collaborate with the Data Engineering team to define data model requirements, validate pipeline outputs, and improve the analytical data layer.
- Document reporting logic, data definitions, and analytical methodologies to enable self-service and knowledge sharing across teams.
- Contribute to the evolution of our BI strategy, including dashboard governance, naming conventions, and version control practices for LookML.
Benefits
- Comprehensive benefits package
- Flexible PTO
- Work from home options
- Professional development budget
- Support continuing education
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