Senior AI Data Analyst

The role

You will build trusted data models and drive business decisions. You will use AI to accelerate work across data modeling, deep-dive analyses, and customer insight reporting.

What you will do

• Design and build reliable data models to turn raw data into analytical datasets.
• Own metric definitions and data quality.
• Keep models tested, documented, and consistent.
• Leverage AI to lead deep-dive analyses across Product, Finance, and GTM teams.
• Build dashboards and visualizations for C-level and VP-level leaders.
• Partner with the CX team to present insights to customers.
• Turn recurring questions into reusable models and reporting frameworks.

Required qualifications

• 5+ years in analytics or analytics engineering.
• Experience at rapidly growing startups.
• Strong SQL skills.
• Experience building data models from scratch.
• Understanding of table relationships, grain, and cloud data warehouses.
• AI-native using tools like Claude Code and Codex.
• Highly analytical using cohort, funnel, and segmentation analysis.
• Strong communicator.
• Ability to thrive in ambiguity.
• Hands-on owner.
• Quality-minded.

Nice to have

• Customer-facing analytics experience
• Experience with GA4 and Google Search Console
• Familiarity with Metabase, dbt, semantic layers (Cube), and analytics delivered through MCP-connected AI tools
• Experience with AI search measurement, brand visibility, mention rates, and citation analysis
• Python proficiency for analysis, data validation, scripting, or automation

Benefits

• Equity in a fast-growing startup
• Competitive benefits package tailored to your location
• Flexible time off policy
• Parental Leave

About the company

AirOps is a full-service platform for brand growth in the age of AI search. The company is headquartered in San Francisco, New York, and Montevideo.