Airtable’s Data Science & Analytics team seeks an Analytics Engineer to embed within our Marketing organization. This is a high-impact, early-career role. You will be responsible for building the canonical data infrastructure, owning critical dashboards, and enabling Marketing stakeholders to execute faster, more confident, data-driven decisions.

We require a genuinely AI-native professional—not merely familiar with tools like Claude, Cursor, or ChatGPT, but one who integrates them as a core part of their daily workflow. The successful candidate will possess a full-stack mindset, a bias for action, and deep curiosity about how marketing data drives tangible business outcomes.

About the Team

The Data Science & Analytics team at Airtable is the company-wide partner for building data infrastructure, metrics, and insights that directly inform decision-making. The Marketing Analytics Engineer will embed with the Marketing organization, working directly with GTM data and Airtable's core data stack: dbt, Databricks, Looker, and Omni.

Note on Leveling: We’re particularly interested in candidates with 1–4 years of professional experience.

What you'll do

• Canonical Marketing Data Sources
  • Design and maintain trustworthy data models for core marketing metrics, managing the full lifecycle from prototyping through production.
  • Develop and govern dbt data pipelines, establishing data integrity standards and SLAs for timely, accurate delivery across the Marketing organization.
• Critical Dashboards and Self-Serve Tooling
  • Build and optimize dashboards that deliver real-time, self-serve insights across high-priority marketing areas: campaign performance, funnel conversion, pipeline contribution, and lead scoring.
  • Drive data independence for Marketing stakeholders, eliminating reliance on ad-hoc data requests and manual reporting.
• AI-Native Data Infrastructure
  • Collaborate with the Marketing team and data partners to establish the AI Business Context layer for marketing use cases.
  • Lead the development of tools that facilitate natural language data access and AI-assisted reporting for non-technical stakeholders.
• Trusted Partnership
  • Serve as the primary data partner for marketing managers, demand generation teams, and leadership.
  • Translate complex data insights into clear business recommendations via dashboards, memos, and presentations.
• Domain Expertise
  • Achieve a comprehensive mastery of Airtable's marketing data models, existing pipelines, and BI tools (dbt / Looker / Omni) within the first 6 months, becoming the definitive internal expert.

Who you are

• Must-Have
  • Expert-level SQL: Proven ability to write complex queries involving joins, aggregations, and window functions.
  • Proficiency with dbt or equivalent data transformation tools.
  • Experience with BI and visualization platforms (Looker, Omni, Tableau, Hex, or similar).
  • Active, demonstrated daily use of AI coding tools (Cursor, Claude, ChatGPT, Gemini). Candidates must provide specific, concrete examples of how these tools are integral to their work, moving beyond simple familiarity.
  • Mandatory use of GitHub for version control in a standard development workflow.
  • Exceptional communication skills: the ability to translate technical data findings into compelling business narratives for non-technical leadership.
• Nice