Senior Data Analyst, Customer Success

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 their Data & Analytics team, responsible for delivering best-in-class reporting and insights for their Customer Success organization.

Responsibilities:

• 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

Requirements:

• 5+ years of professional experience in a data analyst, analytics engineer, or BI-focused role
• Deep expertise in Looker, including strong command of LookML: building and maintaining models, views, explores, derived tables, and parameterized dashboards
• Expert-level SQL: complex joins, window functions, CTEs, subqueries, and query performance tuning
• Strong Python skills for data analysis, scripting, and automation
• Proficiency with AI-assisted development and analytics tools (e.g., Claude, ChatGPT, GitHub Copilot, Cursor)
• Strong appetite for integrating AI into analytics workflows
• Self-starter mentality: you proactively identify problems, dig into data without being asked, form hypotheses, and bring insights to stakeholders with actionable recommendations
• Strong business acumen and the ability to understand the 'so what' behind the numbers
• Experience building and delivering recurring client or stakeholder reports (e.g., QBRs, executive dashboards, performance reviews)
• Excellent communication and presentation skills, with the ability to tailor the depth and framing of analysis to different audiences
• Familiarity with cloud data warehouses (Redshift preferred) and data lake concepts (S3, Parquet)
• Experience in health tech, digital health, or healthcare services, including familiarity with healthcare-specific data (claims, clinical, eligibility, pharmacy, outcomes measurement)
• Hands-on experience building or deploying AI-powered analytics features, such as automated reporting narratives, anomaly detection, classification models, or LLM-based data summarization
• Familiarity with AWS data services (Glue, Athena, S3, CloudWatch)
• Experience with event-based analytics platforms such as Mixpanel or Amplitude
• Exposure to dbt or similar analytics engineering tools for managing transformation logic
• Familiarity with version control (Git) for LookML and analytical code
• Prior experience working closely with Customer Success, Account Management, or client-facing teams
• Background in a startup or high-growth environment where you wore multiple hats and owned outcomes end to end