Analytics Engineer

About Vercel:

At Vercel, we believe that liberating the frontend unlocks creativity and open-source is the best way forward.

We are building a next-generation internet where developers can create freely and execute new ideas, guaranteeing a more vibrant, personalized internet. Vercel’s platform provides the speed and reliability to create at the moment of inspiration. In other words, our friction-less, real-time deployment makes it possible to start working on projects immediately — anywhere in the world.

Our globally-distributed team works asynchronously to lead the React ecosystem and serve developers at large companies. We pride ourselves on our diversity, shared urgency to iterate, team-oriented decision making, and drive to dig deep.

About the Role:

The Data Team at Vercel works with the VP of Data who sits on Vercel’s Leadership Team. Our tight-knit team is internationally distributed from different backgrounds in and out of the data world. We try to be intentional and clear in our work. Examples of this include a Request For Comments (FRC) process, virtual off-sites to reflect on and plan our work, and a bi-weekly company newsletter. In our first 90 days, our Data Engineers have already rolled out an outstanding data warehouse using modern tools.

What You Will Do:

As an Analytics Engineer your job is to design and build usable and well-documented data models for company-wide use. You are the bridge between the raw data our Data Engineering pulls in from across the company and our analytical stakeholders. You will need to become knowledgeable in both our upstream data sources and the business context that your stakeholders operate in. Strong working relationships will be key to your success. Your day-to-day will focus on iteratively delivering data sources that stakeholders can understand and ultimately self-service.

Responsibilities:

Working with stakeholders to fully understand data long-term data requirements for model development
Working with Data Engineering, Engineering, and operational partners to understand upstream data sources and limitations, and maintain an overall position of strong data governance
Use dbt to iteratively deliver usable data models using that enable analyst workflows
Documenting production data models with an eye towards self-service work flows
Training stakeholders to be more proficient and independent in our BI tool and in SQL

About You:

Outstanding SQL skills
Experience creating data products within a data warehouse environment; preferably with dbt and Snowflake
Comfortable working from the command line and with git
Familiar with a modern SQL-based BI tool, especially Superset
Experience working with a range of data sources and stakeholders from operational and product teams
Outstanding written and communication skills
Additional experience in Engineering, Analytics, or Data Science is a plus.
Kind, positive, and generally passionate about data and Vercel!

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