Analytics Engineer, Product Analytics Jobs

Airtable

Location:
United States, San Francisco ▼
New York City

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

143600.00 - 177200.00 USD / Year

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Job Description:

As an Analytics Engineer at Airtable, you’ll play a pivotal role in shaping our product strategy through data. You’ll design, implement, and maintain robust data pipelines and analytics tools that empower our teams to make informed decisions. This is a unique opportunity to own critical analytics infrastructure, collaborate with cross-functional partners, and directly influence the direction of our product.

Job Responsibility:

Own and maintain core product data pipelines across tools such as dbt, Databricks, Looker, and Omni Analytics, ensuring reliability and scalability
Build and refine dashboards that deliver self-serve, real-time insights for high-priority product areas
Partner with product and engineering teams to define tracking requirements, implement instrumentation, validate data, and deliver launch-specific dashboards or reports
Establish trusted partnerships with product managers, engineers, analysts, and leadership, serving as the go-to resource for product data insights and technical guidance
Lead analytics engineering efforts for high-impact product launches, including documentation of tracking plans, launch pipelines, and post-launch reporting
Participate in or lead cross-functional projects where analytics engineering contributions directly influence product strategy decisions

Requirements:

Bachelor’s degree in computer science, data science, mathematics/statistics, or a related field (or related experience)
3–5 years of experience working with data, with at least 1 year partnering with product stakeholders
Curiosity and fluency with AI/LLM tools (ChatGPT, Claude, Cursor, etc.)
Experience in SaaS, consumer tech, or data-driven product environments
Proficiency with SQL and data modeling best practices (e.g., dbt, Databricks, Snowflake, BigQuery)
Experience with BI tools and BI modeling best practices (e.g., Looker, Omni Analytics, Tableau, Mode, Hex)
Understanding of user funnels, retention metrics, and growth analytics
Strong ability to ensure data accuracy, reliability, and consistency
Ability to translate business questions into analytical approaches, interpret results, and communicate actionable insights
Knowledge of product analytics tracking frameworks (e.g., Segment, Amplitude, Mixpanel, GA4) and event taxonomy design
Familiarity with A/B testing design, execution, and analysis

What we offer:

Restricted stock units
Incentive compensation
Comprehensive benefits package

Additional Information:

Job Posted:
December 05, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Analytics Engineer, Product Analytics