AirOps
Senior AI Data Analyst
$160K–$200K
New York City or San Francisco (Onsite) · On-site · Senior · Full-time · Posted Oct 14, 2026
- Experience
- 5+ years in analytics or analytics engineering, including experience at rapidly growing startups.
About the job
Build trusted analytics models and insights, guide business decisions, and help customers measure the value AirOps delivers.
What you'll do
- Design and maintain reliable data models, metric definitions, and data-quality practices.
- Analyze Product, Finance, and GTM data; build dashboards and communicate recommendations to leaders.
- Partner with CX to present customer insights and develop reusable reporting resources.
What they ask for
- 5+ years in analytics or analytics engineering, including experience at rapidly growing startups.
- Strong SQL skills and experience building data models from scratch, including understanding table relationships, grain, and cloud data warehouses.
- Use AI tools to accelerate modeling and analysis, and validate outputs against source data and business definitions.
- Strong analytical, communication, ownership, and prioritization skills.
Nice to have
- Customer-facing analytics experience and experience with GA4 and Google Search Console.
- Familiarity with Metabase, dbt, Cube, MCP-connected AI tools, AI search measurement, or Python.
Pay
$160K – $200K USD base salary
Tools
SQL, Claude Code, Codex, GA4, Google Search Console, Metabase, dbt, Python
AI focus
Use AI tools such as Claude Code and Codex to accelerate data modeling and analysis; maintain consistent metrics across dashboards and AI tooling; help customers measure AI Search outcomes.
Model-written summary · the original posting is authoritative