Senior Data Analyst

Role Description

We are looking for a Data Analyst to join our Data & Analytics team and become the analytics partner to our Customer Success organization. Your primary mission: ensure that the clients we serve (large employers and health plans) receive best-in-class reporting, from recurring Quarterly Business Reviews to ad hoc analyses that answer the questions they care about most.

You will own the reporting lifecycle end to end. That means:

• Building the data models and dashboards in Looker
• Writing the Python and SQL that power them
• Sitting with Customer Success to understand what story the data needs to tell

We are looking for someone who:

• Does not wait to be told what to analyze
• Sees a pattern, digs in, forms a hypothesis, and brings insights to the table before anyone asks
• Has a strong sense of business context and curiosity to understand why numbers move

We also expect this person to actively leverage AI tools in their daily analytics work and to identify opportunities where AI can improve our reporting, analysis, and client deliverables.

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 skills
• Strong Python skills for data analysis, scripting, and automation
• Proficiency with AI-assisted development and analytics tools
• Strong appetite for integrating AI into analytics workflows
• Self-starter mentality
• Strong business acumen
• Experience building and delivering recurring client or stakeholder reports
• Excellent communication and presentation skills
• Familiarity with cloud data warehouses and data lake concepts

Requirements

• Own client-facing analytics: build, maintain, and continuously improve dashboards and reports
• Partner closely with the Customer Success team to understand client needs
• 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
• 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
• Document reporting logic, data definitions, and analytical methodologies
• Contribute to the evolution of our BI strategy

Benefits

• Base salary of up to $150,000
• Total compensation may include equity and a comprehensive benefits package
• Health, dental, and vision insurance
• Flexible PTO and work from home options
• Professional development budget and support for continuing education

Company Description

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 comprehensive, cost-effective medical care for individuals living with obesity, diabetes, hypertension, and dyslipidemia.

Our commitment to diversity and inclusion:

• We are committed to creating a workforce that reflects our patients
• We welcome applications from people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, and foreign born residents