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Salary: CAD 100,000 - 150,000 / annual
7shifts is a scheduling and payroll platform serving over 55,000 restaurants. As Senior Data Analyst for GTM Operations, you'll be the analytical partner to the Go-to-Market and Finance teams, reporting to the Manager of Data & Analytics.
You'll own GTM and Finance analytics end-to-end: scoping questions, pulling data from Snowflake, Stripe, Salesforce, and FinQore, and delivering recommendations that leaders can act on. Your focus is on strategic projects that improve how these teams operate—reducing manual work, creating clearer metric definitions, and accelerating time-to-insight. You'll build and maintain dashboards, reports, and metric definitions as sources of truth, ensuring data consistency across the company.
A key part of your role is enabling self-serve analytics, making data and tooling accessible so GTM and Finance can answer simple questions independently. You'll use AI as part of your daily workflow to accelerate analysis and find efficiency gains. You'll also mentor teammates, contribute to shared analytical standards, and help shape the analytics roadmap by bringing business needs back to the Data team.
You'll work alongside analysts, data engineers, and analytics engineers in a hybrid environment with offices in Saskatoon and Toronto. The company emphasizes flexibility, offering remote work options and a '90 Day Shift' program allowing work from various locations.
**Requirements:**
- 5+ years in data analytics or business intelligence, with strong experience in financial or go-to-market reporting
- Experience owning complex, ambiguous analysis end-to-end and translating it into business decisions
- Strong SQL in a modern warehouse (Snowflake or equivalent) and comfort with a BI tool (ThoughtSpot or equivalent); ability to work across multiple systems and learn new ones quickly
- Experience working with systems like Stripe, Salesforce, FinQore, or equivalent platforms
- Fluency in SaaS metrics (ARR, retention, pipeline) with judgment to connect analysis to revenue, cost, and operating outcomes
- Active use of AI in analytical work, with clear understanding of where it adds value and where output needs verification
- Strong cross-functional skills and ability to influence decisions without owning them
- Experience mentoring other analysts on analytical methods, SQL, or AI (formally or informally)
**Nice-to-have:**
- Experience building AI agents or enabling AI adoption
- Experience in restaurant or hospitality industry
- Interest in growing into people leadership
