Airtable
Analytics Engineer, Product Analytics
Airtable, San Francisco, California, United States, 94199
Analytics Engineer, Product Analytics
Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. 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. If you're passionate about transforming data into actionable insights and want to make a tangible impact at scale, we'd love to meet you. What You'll Do
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 Who You Are
Bachelor's degree in computer science, data science, mathematics/statistics, or a related field (or related experience) 35 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.) applying them to accelerate data exploration, automate workflows, and enhance analytics productivity 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 Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is: $179,500 - $221,500 USD
Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. 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. If you're passionate about transforming data into actionable insights and want to make a tangible impact at scale, we'd love to meet you. What You'll Do
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 Who You Are
Bachelor's degree in computer science, data science, mathematics/statistics, or a related field (or related experience) 35 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.) applying them to accelerate data exploration, automate workflows, and enhance analytics productivity 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 Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is: $179,500 - $221,500 USD