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AI Revenue Forecasting Engineer

Matthew Rodriguez

Full-time · Job · New_York

About the role

The forecasts you'll ship are reviewed by our finance leadership every single month and used to set targets for over 40 sales teams. Getting this wrong has a real cost, and getting it right earns you a direct line to decision-makers. You'll rebuild our revenue forecasting pipeline on Databricks and Spark, pulling from Snowflake and surfacing results through Power BI dashboards that executives check weekly. The current pipeline works but breaks under edge cases like mid-quarter pricing changes, and fixing that is your first project. You'll report to our head of data and have a dedicated analytics engineer supporting the data pipeline side, freeing you to focus on the modeling itself.

Responsibilities

  • Rebuild the revenue forecasting pipeline on Databricks and Spark
  • Own the Power BI dashboards used by finance leadership
  • Handle edge cases like mid-quarter pricing and contract changes
  • Partner with the analytics engineering team on Snowflake data models

Requirements

  • 5+ years in forecasting or time-series modeling roles
  • Strong Databricks, Spark, and Snowflake experience
  • Power BI or equivalent dashboarding experience
  • Comfortable presenting directly to finance leadership

Benefits

  • Fully remote position
  • Equity package
  • Annual bonus tied to company performance
  • Premium health coverage

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Categories

data science & analytics MLOps & AI Infrastructure

Skills

python snowflake databricks spark power bi

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$160k – $200k / year

AI Expertise

data science & analytics MLOps & AI Infrastructure

Skills

python snowflake databricks spark power bi

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