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Senior Data Analyst

Job Overview

Location

United States

Job Type

Full-time

Category

Data Analyst

Date Posted

May 16, 2026

Full Job Description

đź“‹ Description

  • • Own the end-to-end lifecycle of client-facing analytics, building and maintaining Looker dashboards and reports used in Quarterly Business Reviews and ad hoc client requests.
  • • Partner directly with the Customer Success team to translate business questions into analytical frameworks and deliver insights that strengthen client relationships and drive retention.
  • • Design and maintain production-quality LookML models, explores, derived tables, and parameterized dashboards in Looker, serving as the team’s primary Looker subject matter expert.
  • • Write complex SQL queries across Redshift, Aurora/MySQL, and Athena to extract, transform, and analyze large-scale datasets, optimizing for performance and accuracy.
  • • Develop Python scripts and Jupyter notebooks for data wrangling, automated reporting, and analytical workflows that extend beyond SQL capabilities.
  • • Actively leverage AI-assisted development tools (e.g., Claude, GitHub Copilot, Cursor) to accelerate query writing, code generation, data exploration, and documentation in daily analytics tasks.
  • • Identify and champion AI-powered enhancements to analytics workflows, including automated anomaly detection, natural-language summarization of data, predictive insights for client reporting, and AI-assisted QBR narrative generation.
  • • Proactively explore data to surface trends, anomalies, and opportunities without being prompted, forming hypotheses and presenting actionable recommendations with clear business context.
  • • Define and monitor data quality metrics for all client-facing reporting to ensure accuracy, consistency, and timeliness across deliverables.
  • • Collaborate with Data Engineering to define data model requirements, validate pipeline outputs, and improve the analytical data layer’s reliability and structure.
  • • Document reporting logic, data definitions, and analytical methodologies to enable self-service access and knowledge sharing across Customer Success, leadership, and cross-functional teams.
  • • Contribute to the evolution of BI governance practices, including LookML version control, naming conventions, dashboard ownership, and reporting standards.
  • • Communicate findings effectively to both technical and non-technical audiences, tailoring depth and framing for Customer Success teams, clients, and senior leadership.
  • • Deliver recurring client reporting (e.g., QBRs, performance dashboards) that directly impact client satisfaction, retention, and strategic decision-making.
  • • Maintain a strong understanding of the business context behind key metrics, connecting data patterns to outcomes in chronic disease management, employer health plans, and pharmacy benefit operations.
  • • Stay current with emerging AI tools and techniques in analytics, experimenting with new approaches to improve efficiency, insight generation, and client value.
  • • Work in a high-growth startup environment where ownership, initiative, and cross-functional collaboration are essential to driving impact.

🎯 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, GitHub Copilot, Cursor)
  • • Strong appetite for integrating AI into analytics workflows and actively seeking opportunities to automate or enhance analysis with AI

🏖️ Benefits

  • • Base salary of up to $150,000, with equity and compensation adjusted based on experience, skill set, and geographic location
  • • Comprehensive health, dental, and vision insurance
  • • Flexible PTO and work-from-home options
  • • Professional development budget and support for continuing education

Skills & Technologies

Python
Go
MySQL
AWS
GitHub
Senior
Onsite

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About 9am.ai Inc.

9am.ai provides AI-driven workforce analytics that help companies optimize hybrid work policies, desk availability, and team collaboration. Its platform integrates with calendars, sensors, and HR systems to deliver real-time occupancy data, predictive scheduling, and carbon-impact insights, enabling organizations to reduce real-estate costs, improve employee experience, and meet sustainability targets through smarter office utilization.

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