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Business Operations, Analytics Engineer

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Salary

$160,000 - $200,000

Location

San Francisco, CA

Posted

Today

In this role, you will be responsible for building 0 to 1 data infrastructure that enables the company to make informed strategic discussions. Specifically, this means working in Python and SQL across multiple databases and parsing through complex Engineering and AI logs to construct trustworthy and reliable datasets that will enable intuitive and confident decision making.

In this role, you will

  • Partner with engineering to instrument new product surfaces and ensure clean, reliable event and usage data
  • Translate ambiguous business scenarios into measurable data problems spanning Growth, GTM, Pricing, Deals Desk, Strategic Finance, and Product
  • Continuously improve data infrastructure as the company and data volumes scale

Your background looks something like this

  • 3+ years of data experience in an early stage or high growth environments, particularly if you worked on a lean data team
  • Expert in SQL and BI (Hex, Looker or similar), and have experience building tables and databases from scratch
  • You are an owner and end to end technologist and “do what it takes” mentality. Your work doesn’t begin or end with data pipelines. You can flex into engineering as well as business, from reading our codebase to turning the outputs into key findings for our leaders

Even better if you have

  • Experience with Clickhouse and CDC
  • Built custom data connectors and webhooks
  • Optimized database and query performance

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