Analytics EngineerNew$180K–$240K

Fireworks AI
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The opportunity

We're hiring several Analytics Engineers to embed with the functions that run the business — Finance, Product-Led Growth, People, and Partnerships.

What you'll do

  • Own your function's data domain end to end: define what should be measured, model it, and be accountable for the numbers when someone asks where they came from.

  • Build and maintain pipelines in BigQuery and Coalesce, aligned with company: data standards, certified definitions, and governance requirements.

  • Establish authoritative models for your domain that reconcile against the: company's certified account, usage, and revenue definitions — not a second set of numbers.

  • Build the dashboards your team runs the business on , and make them: trustworthy enough to replace spreadsheet exports and one-off pulls.

  • Contribute back to the platform: the frameworks, standards, and tooling you use are shared, and improvements you make land for everyone.

  • Surface problems before they're asked about: variance, anomalies, mix shifts, and completeness gaps should reach your stakeholders from you first.

What they're looking for

  • + years in data analysis, analytics engineering, and/or data engineering
  • Strong SQL proficiency: you can design a good schema, write your own queries, and not bog down the warehouse
  • Strong visualization proficiency: you can build your team the dashboards they need so they can leverage the data for efficient decision making
  • Working knowledge of data engineering: you already know how to put up a pull request, respond to code review feedback, etc.
  • Strong analytical thinking: you decompose ambiguous problems, find the root cause behind a number that moved, and turn a maybe into a defensible explanation
  • Clear communication with non-technical partners: you can translate system logic into terms your stakeholders can act on
  • A bias toward building systems over managing processes: you treat recurring manual work as a problem to solve
  • Proficiency in Python for automation, data work, and integrations