Drimva

Decagon

Business Operations, Analytics Engineer

$160K–$200K

San Francisco · Full-time · Posted Sep 14, 2026

Experience
3+ years of data experience in early-stage or high-growth environments; lean data team experience is particularly relevant.

About the job

Build data infrastructure and reliable datasets from product, engineering, and AI data to support strategic decision-making across the company.

What you'll do

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

What they ask for

  • Expertise in SQL and BI (Hex, Looker, or similar).
  • Experience building tables and databases from scratch.
  • Ability to work across engineering and business, including reading code and communicating findings to leaders.

Nice to have

  • Experience with Clickhouse and CDC.
  • Experience building custom data connectors and webhooks or optimizing database and query performance.

Pay

$160K – $200K (USD; base salary)

Tools

Python, SQL, Hex, Looker, Clickhouse, CDC

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)