AirOps

Head of Analytics

AirOps

full-time

Posted on:

Location Type: Hybrid

Location: New York City • California • New York • United States

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Job Level

Lead

Tech Stack

Amazon RedshiftBigQueryPythonSQLTableau

About the role

  • Own the full analytics function at AirOps — GTM and revenue analytics, product analytics, and company-wide BI.
  • Set the philosophy, build the infrastructure, and translate data into the decisions that shape how we grow.
  • Build and own the end-to-end reporting layer from lead to pipeline to cash, including executive dashboards surfacing pipeline velocity, conversion rates, CAC payback, and full-funnel attribution.
  • Design and continuously improve a multi-touch attribution (MTA) framework and evaluate marketing mix modeling (MMM) approaches to drive accurate channel ROI and budget decisions.
  • Serve as the analytics thought partner for leadership — translating GTM performance into clear recommendations on resource allocation and channel mix.
  • Own product analytics end-to-end: define how we measure engagement, adoption, activation, retention, and expansion across the customer journey.
  • Connect product usage signals to revenue outcomes — surfacing leading indicators of expansion and churn risk that inform both product roadmap and GTM strategy.
  • Own the analytics philosophy across the business — setting standards for how data is modeled, consumed, and acted upon across GTM, product, and operations.
  • Lead the evolution of our BI infrastructure (Metabase → Looker), work directly in Snowflake / BigQuery / Redshift, and partner with GTM and Data Engineering to ensure clean instrumentation throughout the stack.

Requirements

  • 6+ years in analytics at B2B SaaS companies, with hands-on experience across GTM, revenue, and product analytics — including building attribution infrastructure and product instrumentation from scratch.
  • SQL mastery and direct experience in Snowflake, BigQuery, or Redshift; you pull from raw data without depending on other teams.
  • Experience designing or significantly improving MTA and/or MMM frameworks, with the ability to tie methodology directly to pipeline and revenue outcomes.
  • Hands-on BI development in Looker, HockeyStack, Tableau, or similar tools; proficiency across the modern GTM stack (HubSpot, GA4, Segment, Clay, HockeyStack).
  • Ownership mentality — you define success metrics, drive cross-functional projects to completion, and translate complex data into executive-ready narratives.
  • Python or R for advanced modeling (cohort analysis, LTV, incrementality testing)
  • Experience with dbt or similar data transformation tools
  • Prior experience building an analytics function at a high-growth startup
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!
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythonRmulti-touch attribution (MTA)marketing mix modeling (MMM)cohort analysisLTVincrementality testingdata transformationanalytics infrastructure
Soft Skills
ownership mentalitycross-functional project managementdata storytellinganalytical thinkingleadershipcommunicationresource allocationdecision-makingproblem-solvingcollaboration