Analytics Engineer, GTM Analytics

Airtable • San Francisco, CA

44d

About The Position

At Airtable we are passionate about how our product democratizes software creation and empowers anyone to "create anything." Just like Lego blocks, what our customers can build with Airtable is virtually limitless. Airtable's Analytics team moves quickly, setting direction for our company and measuring performance to drive growth. As an Airtable's Analytics Engineer, you will play a crucial role in shaping the future of Airtable by deepening our understanding of our product and partnering with Sales, Sales Ops, and engineers. Analytics Engineers build the data foundation for reporting, analysis and experimentation. Using SQL, DBT, and Looker, you will transform data from data warehouse tables into critical self-serve data artifacts that power impactful analytic use cases (e.g. metrics, dashboards) and empower data consumers.

Requirements

• 5+ years of experience working with data, ideally partnering with GTM stakeholders.
• You have the ability to write complex SQL, ad-hoc data pipelines, and data models, preferably in DBT.
• You are experienced with building and maintaining semantic layers and self-service technologies (Looker) for non-technical end-users.
• Deep familiarity with dimensional modeling/data warehousing concepts.
• Analytically-minded, bringing data solutions and business impact together while having autonomy in managing cross-functional projects.

Responsibilities

• Partner with sales + sales ops teams to deeply understand their work. Use this understanding to define, document, and own actionable metrics and dimensions to help guide Airtable.
• Understand where various opportunities fit into the broader strategy and prioritize competing demands to ensure the most impactful items are delivered.
• Develop high-impact data layers, user interfaces and other tools to enable self-service analytics.
• Develop and own critical reporting and dashboards that provide transparency into the business.
• Keep a close eye on sales and product usage metrics to best analyze how to best retain and grow our customer base.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees