Senior Analytics Engineer

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Pantheon Platform

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501 - 1000 employees

Pantheon is the WebOps platform for websites that deliver extraordinary results. We believe in putting the magic of the internet in everyone’s hands. That’s why we’re so passionate about helping developers, IT, and marketing develop, test, and release website changes faster and more reliably so they can build and maintain websites that create value for their organizations. Our cloud native software makes it easy to securely manage a single website or thousands of websites across multiple teams in one platform.

📋 Description

• Own the analytics modeling lifecycle for a business domain (GTM / Lead-to-Customer or Post-Sales) — build and maintain dbt models and business marts on top of our source data in Snowflake. • Develop and maintain the semantic layer that powers our BI platform. • Partner directly with stakeholders across Finance, Sales, Marketing, CS, and RevOps to translate ambiguous business questions into the right model — prescribing or designing one when none exists. • Define, document, and enforce consistent metric definitions and segmentation across the org (e.g., customer lifecycle stages, production lifecycle, ARR), establishing whether each lives in dbt or the semantic layer so metrics aren't defined twice. • Build trustworthy self-serve data products so business partners can answer routine questions without help. • Collaborate with the Data Platform team where raw data is handed off — specify and request new sources, validate data, and raise quality issues upstream.

🎯 Requirements

• 6–8 years of overall experience in analytics, data engineering, or a related field, including at least 4 years specifically in analytics engineering. • Advanced SQL and hands-on experience with dbt or a comparable transformation framework (models, tests, documentation) • Cloud data warehouse experience, ideally Snowflake • BI / semantic-layer modeling experience, ideally Looker (LookML) or Omni • Strong dimensional/data-modeling fundamentals (Kimball design, star schema) • Proven ability to translate business questions into data models — strong business acumen and stakeholder communication • Comfortable with git and a modern analytics development workflow (branch-based PRs and code review)

🏖️ Benefits

• Industry competitive compensation and equity plan • Flexible time off, sick days, and 13 paid holidays • Comprehensive medical insurance including Health, Dental and Vision • Paid parental leave (plus fertility, adoption and other family planning benefits) • In-office workspace (San Francisco & Chicago) • Monthly allowance for wellness, reading and access to LinkedIn Learning for continued development • Events and activities both team-based and company wide that inspire, educate and cultivate