Analytics Engineer, Marketing

As an Airtable’s Analytics Engineer, you will play a crucial role in shaping the future of Airtable by deepening our understanding of our campaigns and marketing efforts by partnering with Marketing stakeholders. 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.

What you'll do

Partner with Marketing, Product, & Sales 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.
Gather feedback and input on self-service implementations from Marketing stakeholders and peers and create a cycle of continuous improvement.
Focus on understanding our top of the funnel engagements and how they impact our bottom-funnel business

Who you are

4-5+ years of experience working with data, ideally partnering with marketing 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.
Experience in at least one programming language for data analysis (e.g. Python, R)
Analytically-minded, bringing data solutions and business impact together while having autonomy in managing cross-functional projects.
Proficiency in data visualization and adept at tailoring presentations to executives, managers, and individual contributors within the organization.
Demonstrated experience in developing comprehensive training materials and leading educational sessions for business teams on dashboards and analytical insights.

Compensation awarded to successful candidates will vary based on their work location, relevant skills and experience. The base salary range for this role is $170,000 - $260,000 for all office and remote locations. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation.

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