Senior AI Data Analyst
- Location
- New York City or San Francisco (Onsite) · On-site
- Job type
- Full-time
- Level
- Director
- Experience
- 5+ years
- Listed
- 23 days ago
Skills & highlights for this role
- SQL
- data modeling
- dbt
- cloud data warehouses
- cohort and funnel analysis
Also useful
- Google Analytics 4
- Google Search Console
- Metabase
- Python
- Cube semantic layer
Stated benefits & perks
- Equity
- Parental leave
- Flexible pto
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
- Extreme Ownership
- Quality
- Curiosity and Play
- Make Our Customers Heroes
- 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!
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.
From AirOps's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Senior AI Data Analyst role at AirOps, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
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The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
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Common questions
Where is the Senior AI Data Analyst job at AirOps located?
This Senior AI Data Analyst position at AirOps is located in New York City or San Francisco (Onsite) (On-site). Always check AirOps's application page for specific state eligibility or relocation policies.
What qualifications are required for Senior AI Data Analyst at AirOps?
For the Senior AI Data Analyst role, AirOps highlights 5+ years of relevant experience; experience with SQL, data modeling, dbt, cloud data warehouses, cohort and funnel analysis. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Senior AI Data Analyst position at AirOps?
This listing links directly to AirOps's Ashby application page. You can apply directly on AirOps's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.