Senior Analytics Engineer (Commercial)

- Expert-level SQL and solid Python, both second nature for ad-hoc discovery, data workflows, and automation - Experience building analytical models for GTM teams, such as account scoring, ICP, propensity, or whitespace analysis - 8+ years in data or analytics roles, with 3+ in analytics engineering, ideally at a fast-paced, data-driven company - End-to-end ownership of production data models in Snowflake (or a similar enterprise warehouse), including the trade-off calls between completeness, performance, and speed - Deep, hands-on expertise in data modeling — from raw source data to models people actually want to build on - A leader's instinct for ambiguity — you set your own direction, know what good looks like, and build it from scratch - Experience inheriting, maintaining, and improving data models and ETL/ELT pipelines built by other people, adapting comfortably to different styles and existing constraints - The instinct to break big projects into clean, well-scoped pieces, while juggling conflicting priorities - Genuine curiosity about the business behind the data — you'll pick up our booking definitions, sales motions, and product portfolio quickly, because the right model starts with the right question - Fluency with our stack — Fivetran, dbt, and Snowflake — and experience building semantic layers, whether in dbt or Snowflake's semantic tables - Excellent communication — you can translate a business question into a data model without losing anyone along the way -…