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Analytics Engineer, Product Analytics

Airtable

Software and Technology Jobs

Analytics Engineer, Product Analytics

full-timePosted: Jan 5, 2026

Job Description

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.

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)
  • 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.) 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

 

Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant

VEVRAA-Federal Contractor

If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.


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. To learn more about our comprehensive benefit offerings, please check out Life at Airtable.

For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:
$143,600$177,200 USD

Please see our Privacy Notice for details regarding Airtable’s collection and use of personal information relating to the application and recruitment process by clicking here.

🔒 Stay Safe from Job Scams
All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.

Locations

  • San Francisco, California, United States
  • New York City, New York, United States

Salary

Salary details available upon request

Estimated Salary Rangemedium confidence

120,000 - 200,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • SQLintermediate
  • data modeling (dbt, Databricks, Snowflake, BigQuery)intermediate
  • BI tools (Looker, Omni Analytics, Tableau, Mode, Hex)intermediate
  • AI/LLM tools (ChatGPT, Claude, Cursor)intermediate
  • product analytics tracking (Segment, Amplitude, Mixpanel, GA4)intermediate
  • A/B testingintermediate
  • user funnels, retention metrics, growth analyticsintermediate

Required Qualifications

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

Responsibilities

  • 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

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Airtable logo

Analytics Engineer, Product Analytics

Airtable

Software and Technology Jobs

Analytics Engineer, Product Analytics

full-timePosted: Jan 5, 2026

Job Description

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.

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)
  • 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.) 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

 

Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant

VEVRAA-Federal Contractor

If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.


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. To learn more about our comprehensive benefit offerings, please check out Life at Airtable.

For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:
$143,600$177,200 USD

Please see our Privacy Notice for details regarding Airtable’s collection and use of personal information relating to the application and recruitment process by clicking here.

🔒 Stay Safe from Job Scams
All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.

Locations

  • San Francisco, California, United States
  • New York City, New York, United States

Salary

Salary details available upon request

Estimated Salary Rangemedium confidence

120,000 - 200,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • SQLintermediate
  • data modeling (dbt, Databricks, Snowflake, BigQuery)intermediate
  • BI tools (Looker, Omni Analytics, Tableau, Mode, Hex)intermediate
  • AI/LLM tools (ChatGPT, Claude, Cursor)intermediate
  • product analytics tracking (Segment, Amplitude, Mixpanel, GA4)intermediate
  • A/B testingintermediate
  • user funnels, retention metrics, growth analyticsintermediate

Required Qualifications

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

Responsibilities

  • 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

Target Your Resume for "Analytics Engineer, Product Analytics" , Airtable

Get personalized recommendations to optimize your resume specifically for Analytics Engineer, Product Analytics. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Analytics Engineer, Product Analytics" , Airtable

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

DataData

Answer 10 quick questions to check your fit for Analytics Engineer, Product Analytics @ Airtable.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.