Senior Analytics Engineer

🕒 July 10

🇺🇸 United States – Remote

💵 $135k - $225k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Pantheon Platform

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Pantheon Platform is the WebOps platform for managing websites built on Drupal and WordPress. The company focuses on empowering developers, IT professionals, and marketers to develop, test, and release website changes quickly and reliably, thereby enhancing the management of single or multiple websites. With its cloud-native software, Pantheon aims to help organizations create value through efficient website operations.

📋 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