Senior Analytics Engineer

Job Description

About Pantheon

Pantheon Web Ops 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 Word Press 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

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 Rev Ops 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.

Bonus Qualifications

• SaaS finance fluency – ARR, MRR, NRR (especially valuable given we sit under Finance)
• Depth in GTM/Rev Ops 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 Git Hub Actions)

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.

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 protected by law. Pantheon complies with federal and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you need a reasonable accommodation due to a disability for any part of the interview process, please contact talent.

Pursuant to local and federal regulations, Pantheon will consider qualified applicants with arrest and conviction records for employment.

After an offer is made and accepted, E-verify will be utilized to establish your identity and employment eligibility as required by the U.S. Department of Homeland Security.

Visa Sponsorship is not available at this time.

The base salary range for this position in Canada is $111,000 – $166,000 CAD per year. Our salary ranges are determined by role, level, and location. At Pantheon, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.