Pantheon Systems, Inc
Senior Analytics Engineer
Canada · Senior
No sponsorship$111k-$139kDetected 4 days ago
Code ReviewGitSQLSnowflakeCI/CDGitHub ActionsAirflowdbtData EngineeringData VisualizationStakeholder ManagementSalesforceZendeskWordPressCommunication
About the role
- 6-8 years of overall experience in analytics, data engineering, or a related field, including at least 4 years specifically in analytics engineering.
Responsibilities
- 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.
- 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.
- 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.
- Strong dimensional/data-modeling fundamentals (Kimball design, star schema)
- 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.
Requirements
- Advanced SQL and hands-on experience with dbt or a comparable transformation framework (models, tests, documentation)
- Proven ability to translate business questions into data models. strong business acumen and stakeholder communication
Nice to have
- 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)
- Cloud data warehouse experience, ideally Snowflake
- BI / semantic-layer modeling experience, ideally Looker (LookML) or Omni
Compensation
- The Canadian base salary range for this position is $111,000 - $139,000 CAD per year.
Benefits
- 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.
- Industry competitive 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)
- Monthly allowance for wellness, reading and access to LinkedIn Learning for continued development
- Pantheon complies with federal and local disability laws and makes reasonable accommodations for applicants and employees with disabilities.
Company info
- 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.
Equal opportunity
- If you need a reasonable accommodation due to a disability for any part of the interview process, please contact talent@pantheon.io.
Visa & Work Authorization
- Visa Sponsorship is not available at this time.
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