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Senior Data Analyst, Customer Success

9amHealth· Data
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RemoteFull-timePosted 5mo ago

About the role

Data Analyst to join the Data & Analytics team as the analytics partner to Customer Success, owning end-to-end reporting and insights for client-facing needs (QBRs and ad hoc analyses) and leveraging AI to enhance analytics and client deliverables.

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.

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: 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 with proactive problem discovery and actionable insights.
  • Strong business acumen and ability to translate data patterns into business outcomes.
  • Experience building and delivering recurring client or stakeholder reports (e.g., QBRs, executive dashboards).
  • Excellent communication and presentation skills.
  • Familiarity with cloud data warehouses (Redshift preferred) and data lake concepts (S3, Parquet).

Skills

Required:Looker/LookMLSQLPythonAI tools for analyticsData storytelling / communicationBI analytics

Benefits

  • Health, dental, and vision insurance
  • Flexible PTO
  • Work from home options
  • Professional development budget and continuing education support
Last updated Oct 8, 2026. Interested? Apply on the company site.

About 9amHealth

Whole body health simplified

9amHealth provides specialized care for weight management, diabetes, and heart health, offering personalized care plans and unlimited access to specialists.

weight managementdiabetes careheart health
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