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Analytics Engineer - RevOps Data Foundations

Aiko Yamamoto

Full-time · Mid-level · Denver

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About the role

The go-to-market team has outgrown spreadsheet logic and one-off dashboard fixes. We are looking for an analytics engineer who can stabilise the revenue data layer and give sales, marketing, and finance one version of the truth. The role is close to the business and requires someone who enjoys precise definitions and clean modelling.

Responsibilities

  • Model clean revenue datasets for pipeline, bookings, and retention reporting
  • Improve reliability of scheduled data refreshes and source ingestion
  • Partner with RevOps leaders on metric definitions and exceptions
  • Support BI consumers with well-documented semantic layers
  • Reduce manual spreadsheet dependency across the commercial team

Requirements

  • 4+ years in analytics engineering, BI, or data warehousing
  • SQL at strong production level
  • Snowflake or equivalent warehouse experience
  • ETL pipeline design and maintenance
  • Python for automation and lightweight transformations
  • Experience aligning metrics across business functions

Benefits

  • $108,000 - $128,000 base salary
  • Remote in the US with optional Denver office access
  • 401(k), health coverage, and annual learning stipend
  • A small team with real ownership
  • A clean mandate to reduce reporting confusion

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Categories

data science & analytics

Skills

sql snowflake etl python tableau

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Job Type

Full-time

Level

Mid-level

Language

English

Salary Range

$108,000 - $128,000

AI Expertise

data science & analytics

Skills

sql snowflake etl python tableau

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