Senior Data Analyst, Customer Success

The role

You will act as the analytics partner to the Customer Success organization. You will own the reporting lifecycle by building data models and dashboards in Looker and writing Python and SQL to deliver client-facing insights.

What you will do

• Build, maintain, and improve dashboards and reports for Quarterly Business Reviews and ad hoc client requests.
• Partner with Customer Success to translate business questions into analytical frameworks.
• Design and build production-quality LookML models, explores, and dashboards in Looker.
• Write complex SQL queries across Redshift, Aurora/MySQL, and Athena.
• Develop Python scripts and notebooks for data wrangling and automated reporting.
• Leverage AI tools in day-to-day analytics work to accelerate development and exploration.
• Identify and champion AI-powered use cases within the analytics workflow.
• Proactively explore data to surface trends, anomalies, and opportunities.
• Define and monitor data quality metrics for client-facing reporting.
• Collaborate with the Data Engineering team to define data model requirements and validate pipeline outputs.

Required qualifications

• 5+ years of professional experience in a data analyst, analytics engineer, or BI-focused role.
• Deep expertise in Looker, including strong command of LookML.
• Expert-level SQL including 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).
• Self-starter mentality to proactively identify problems and form hypotheses.
• Strong business acumen to connect data patterns to business outcomes.
• Experience building and delivering recurring client or stakeholder reports.
• Excellent communication and presentation skills.
• Familiarity with cloud data warehouses (Redshift preferred) and data lake concepts (S3, Parquet).

Nice to have

• Experience in health tech, digital health, or healthcare services.
• Hands-on experience building or deploying AI-powered analytics features.
• 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.
• 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.

Benefits

• Health, dental, and vision insurance
• Flexible PTO
• Work from home options
• Professional development budget
• Support for continuing education

About the company

9amHealth is an AI-enabled virtual specialty care platform focused on managing high-cost chronic conditions at scale. The company partners with employers, health plans, and pharmacy benefit managers to deliver medical care for individuals living with obesity, diabetes, hypertension, and dyslipidemia.