Senior AI Data Analyst

AirOps; New York, San Francisco (NY, CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Equity in a fast-growing startup

Competitive location-based benefits

Flexible time off

Parental Leave

Job summary

AirOps is seeking a Senior AI Analyst to build trusted data models, drive business decisions, and help customers measure value. You’ll work with AI to accelerate analysis across Product, Finance, and GTM, reporting to the Analytics Lead as a hands-on contributor, with growth aligned to AirOps scaling.

You’ll design data pipelines, own metrics, and present insights to executives while expanding our data stack and enabling self-service analytics for customers.

Qualifications

• 5+ years in analytics or analytics engineering at startups.
• Strong SQL skills with data models and warehouse knowledge.
• AI-native approach using Claude Code and Codex to accelerate modeling.
• Analytical thinker using cohort, funnel, and segmentation analyses.
• Excellent communication of data insights to executives.

Responsibilities

• Expand AI data stack by designing reliable data models.
• Own metric definitions and data quality across dashboards.
• Lead deep-dive analyses with Product, Finance, and GTM teams.
• Build dashboards and visualizations for executives.
• Partner with CX to connect GA4/GSC data to outcomes.
• Develop reusable models and self-service reporting.

Skills

SQL

Analytics

Data Modeling

AI Tools

Data Visualization

Tools

GA4

Google Search Console

Metabase

dbt

Semantic Layers

MCP-connected AI tools

Python

Job description

About AirOps

AirOps is the full-service platform for brand growth in the age of AI search. As consumers shift from traditional search engines to platforms like ChatGPT, Claude, and Gemini, the entire ruleset of growth is being rewritten. Buyers now rely on agents to discover, recommend, and purchase products and services for them. If your brand isn't part of the answer, you aren't in the running.

Our platform offers everything a brand needs to get found, recommended, and earn trust. We work with category leaders, including teams at Ramp, Chime, Airbnb, ServiceNow, and Rippling, to drive visibility and accelerate growth from AI search.

Backed by Greylock, Unusual Ventures, Wing VC, and Founder Collective, we're headquartered in San Francisco, New York, and Montevideo.

As our Senior AI Analyst, you’ll build trusted data models, drive business decisions, and help customers measure the value AirOps delivers. You’ll report to our Analytics Lead as a hands-on individual contributor, using AI to accelerate work across all three areas. Priorities will evolve as AirOps continues to scale to $100M and beyond, with potential to take on team leadership as the analytics function grows.

What you’ll do

• Expand our current AI data stack by designing and building reliable data models that turn raw data into trusted analytical datasets.

• Own metric definitions and data quality — keep models tested, documented, and consistent across dashboards and AI tooling.

• Leverage AI to lead deep-dive analyses across Product, Finance, and GTM teams to identify opportunities and provide clear recommendations on ways to optimize the business.

• Build dashboards and compelling visualizations to help communicate findings to C-level and VP-level leaders.

• Partner with our CX team to present insights and actionable recommendations directly to customers, connecting their GA4, GSC, and AI Search data to business outcomes.

• Turn recurring internal and customer questions into reusable models, self-service resources, and reporting frameworks that scale.

Who you are

• 5+ years in analytics or analytics engineering, including experience at rapidly growing startups.

• Strong SQL skills — you’ve built data models from scratch, understand table relationships, grain, and cloud data warehouses, and can independently explain and debug your logic.

• AI-native — you use tools like Claude Code and Codex to accelerate modeling and analysis, and validate outputs against source data and business definitions.

• Highly analytical — you use cohort, funnel, and segmentation analysis to uncover insights and distinguish meaningful changes from noise.

• Strong communicator — you tell compelling data stories and make complex findings clear to executives, customers, and technical peers.

• Thrive in ambiguity — you clarify open-ended questions, prioritize by business impact, and adapt quickly when needs change.

• Hands-on owner — you drive work from raw data to recommendations and follow through across technical, business, and customer contexts.

• Quality-minded — you move fast, validate results, communicate uncertainty, and handle customer and business data responsibly.

Nice to have

• Customer-facing analytics experience — you’ve led discussions and presented findings directly to customers.

• Experience with GA4 and Google Search Console, including search, traffic, and conversion analysis.

• 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.

Our Guiding Principles

1. Extreme Ownership

2. Quality

3. Curiosity and Play

4. Make Our Customers Heroes

5. Respectful Candor

Benefits

• Equity in a fast-growing startup

• Competitive benefits package tailored to your location

• Flexible time off policy

• Parental Leave

• A fun-loving and (just a bit) nerdy team that loves to move fast!