Zapier for Data Science

Analytics Engineer

$110k - $140k / 0.25% - 0.75%
San Francisco / Remote
Job Type
1+ years
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Ken Van Haren
Ken Van Haren

About the role

What working with us is like

We're a small team based in San Francisco with a few colleagues remote around the world. We have a hybrid office culture with 2 days a week at home and 3 in our Financial District office, SF. We will hire talented people regardless of location, but we prefer candidates in the SF Bay Area or willing to relocate.

What we're looking for

  • Analytics engineer with strong business knowledge and mastery of SQL and ETL.
  • 2+ years experience implementing business data solutions for tech companies, can transform raw data into a clean and elegant data warehouse.
  • Curiosity and drive to deepen technical and business skills and grow with the company.

Your responsibilities

  • Solve industry data problems problems at scale by building use cases for the Basis ecosystem
  • Customers - Interact with customers, learn their problems, implement solutions for them in Basis
  • Product - contribute to core product discussion and help drive our roadmap. Suggest product feature to help with distribution and growth.
  • Community - help us prioritize our community strategy. Be an active participate in data science forums, contribute to our own Slack/Reddit/Discord etc.

What we can offer

  • As an early hire, a substantial equity package
  • Competitive cash pay
  • All of the standard benefits

Why you should join Basis

Basis is a platform for building end-to-end data pipelines ridiculously fast — everything from ingestion to ETL, machine learning, automation, and reverse ETL in a unified framework with no data engineering required.

Data tools on the market today are all about managing your data as exhaust. We're building Basis for a new era where businesses use data as fuel for their operations — embracing both analytical and operational paradigms in a single product.

Nearly all companies today operate on the same SaaS platforms with common schemas, and are trying to solve the same data problems — we're uniquely positioned to win in a new market of cloneable end-to-end data solutions!

We're industry veterans who have built production data solutions at Google, Square, and our previous startups, and we're going after the +$100B business automation market with a data-driven, API-first product that gives data developers superpowers.

Team Size:3
Location:San Francisco
Chris Stanley
Chris Stanley
Ken Van Haren
Ken Van Haren