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Pantheon
About Pantheon Pantheon WebOps Platform powers the open web, running more than 300,000 sites in the cloud for customers including Google, Princeton, Salesloft and Doctors Without Borders. Every day, thousands of developers and marketers create, iterate, and scale WordPress and Drupal sites to reach billions of people globally. Pantheon’s multitenant, container-based platform enables organizations to manage all of their websites from a single dashboard.
Organizations including Clorox and the United Nations drive results through accelerated development and real-time publishing using Pantheon’s collaborative workflows. The Role Senior Analytics Engineer The Analytics Engineering team owns how Pantheon's data becomes trusted, self-serve insight — from the data models built on our raw source tables to the semantic layer the whole company consumes. Sitting close to the business (under Finance), you'll own a domain end-to-end and act as a partner who turns business questions into the right data models.
What You Need to Succeed 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.
, 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.
What You Bring to the Table 6–8 years of overall experience in analytics, data engineering, or a related field, including at least 4 years specifically in analytics engineering.
Qualifications
SaaS finance fluency — ARR, MRR, NRR (especially valuable given we sit under Finance) Depth in GTM/RevOps data (Salesforce) or post-sales/CS data (Zendesk), depending on the domain Familiarity with AI- or natural-language-driven analytics Exposure to orchestration (Airflow), reverse ETL, or working alongside data engineering CI/CD for analytics code (e.g., dbt tests running on PRs via GitHub Actions)
What We Offer
We have all the usual
Perks
and
Benefits
but what we can really offer you is a fantastic work environment powered by an amazing team.
Compensation
and equity plan Paid Time Off (PTO), Paid Sick Leave (PSL) and 12 Paid Company Holidays Full medical coverage (Extended health care, dental, vision) Top-of-line equipment In-office workspace (Vancouver, BC Canada) 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 Pantheon is an equal opportunity employer and we welcome applications from all backgrounds regardless of race, color, religion, sex, national origin, ancestry, age, marital status, sexual orientation, gender identity, veteran status, disability, or any other classification pr