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AI Analytics Engineer (Marketing Analytics)

22 hours, 53 minutes ago
United States
Full-time
Junior
AI (Artificial Intelligence)
Data Science and Analytics
Databricks dbt GitHub JavaScript Looker Pandas Python Salesforce SQL Tableau
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Airtable

Airtable

Airtable is a low-code platform for building next-gen apps, organizing data, and streamlining workflows with AI. It combines the speed of a spreadsheet with the power of a database, offering collaborative features and templates for various needs.

IT Services
1K-5K
Founded 2012
$1400M raised
View All Jobs 29

Description

  • Design and maintain trustworthy data models for core marketing metrics from prototype through production.
  • Develop and govern dbt data pipelines, including data integrity standards and SLAs.
  • Build and optimize dashboards for campaign performance, funnel conversion, pipeline contribution, and lead scoring.
  • Enable self-serve analytics for Marketing stakeholders and reduce ad-hoc reporting requests.
  • Collaborate with marketing and data partners to establish the AI Business Context layer for marketing use cases.
  • Lead development of tools for natural language data access and AI-assisted reporting for non-technical users.
  • Serve as the primary data partner for marketing managers, demand generation teams, and leadership.
  • Translate complex data insights into clear business recommendations through dashboards, memos, and presentations.
  • Develop deep expertise in Airtable’s marketing data models, pipelines, and BI tools within the first 6 months.

Requirements

  • 1–4 years of professional experience, with a focus on early-career candidates.
  • Expert-level SQL with complex joins, aggregations, and window functions.
  • Proficiency with dbt or equivalent data transformation tools.
  • Experience with BI and visualization tools such as Looker, Omni, Tableau, Hex, or similar.
  • Active, daily use of AI coding tools such as Cursor, Claude, ChatGPT, or Gemini, with concrete examples of integration into work.
  • Mandatory use of GitHub for version control in a standard development workflow.
  • Exceptional communication skills for translating technical findings into business narratives for non-technical leadership.
  • Python experience for data work, including pandas, ETL scripting, or analysis, is preferred.
  • Prior exposure to marketing data concepts such as attribution, funnel metrics, lead scoring, or campaign performance is preferred.
  • Familiarity with Salesforce, Marketo, Databricks, or cloud data warehouses is preferred.
  • A public portfolio showcasing data or AI-assisted engineering work is preferred.
  • A full-stack mindset, bias for action, and ability to own problems end-to-end are important attributes.
  • Comfort working in ambiguity and proactively creating clarity and momentum is expected.

Benefits

  • Base salary of $157,100–$193,600 USD for San Francisco Bay Area, Seattle, New York City, and Los Angeles locations.
  • Base salary of $141,600–$175,100 USD for all other work locations, including remote.
  • Total compensation includes benefits and restricted stock units.
  • Total compensation may also include incentive compensation.
  • Comprehensive benefit offerings are available through Airtable’s Life at Airtable program.

Interested in this position?

Apply directly on the company website

Apply Now

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