About this role
Accountabilities:
- Architect optimization analyses and forecasting models to identify opportunities across Growth, Strategy, Revenue, Marketing, and Product teams.
- Partner directly with senior and executive leadership, translating complex analytical findings into clear recommendations, decisions, and process improvements.
- Design counterfactual analyses and A/B tests to support data-driven improvements to user experiences, product features, and customer journeys.
- Build data applications that automate and enhance sales and marketing processes.
- Own projects end to end, from defining the business question and selecting the analytical approach through model development, delivery, and presentation of recommendations.
- Work with shared semantic layers and dbt models that power the broader analytics environment, ensuring analyses are built on reliable, consistent data.
- Contribute to data science frameworks, templates, documentation, and guides that can be reused by data practitioners across the organization.
- Collaborate with cross-functional stakeholders to identify opportunities, challenge assumptions, and pressure-test analytical approaches.
- Communicate findings and recommendations effectively to both technical teams and executive audiences.
Requirements:
- 7+ years of experience in data science, analytics, or a related field within a fast-moving business environment.
- Demonstrated ability to independently lead ambiguous, complex, and high-impact analytical problems from definition through execution.
- Hands-on experience with modern cloud data stacks, including Snowflake, dbt, and BI platforms such as Sigma, Looker, Metabase, Omni, or similar tools.
- Strong SQL and statistical modeling capabilities, including practical experience developing forecasting and causal inference models.
- Experience designing and analyzing experiments, including A/B testing and counterfactual approaches.
- Strong understanding of scalable data modeling and experience contributing to shared semantic layers or centralized data foundations.
- Excellent documentation and version-control practices, including experience working with Git.
- Ability to balance rapid, exploratory analysis and prototyping with the development of scalable, reliable data products.
- Strong project management and organizational skills, with the ability to coordinate work across multiple stakeholder groups with minimal oversight.
- Self-driven approach, with the ability to identify opportunities, build a business case, and drive initiatives through completion.
- Excellent communication and presentation skills, with confidence working with executive leadership as well as technical and analytical teams.
- Collaborative mindset and enthusiasm for brainstorming, peer reviews, knowledge sharing, and constructive challenge.
Benefits:
- CAD $140,000–$160,000 annual compensation band, with offers tailored to experience, seniority, and demonstrated impact.
- Remote-first work environment across Canada.
- 100% employer-paid premiums for Extended Healthcare and Dental in Canada.
- Flexible time off.
- Mandatory paid time off during the first week of employment to support a strong start and recharge.
- One Friday off per month.
- Company-wide paid shutdown during the week between Christmas and New Year’s.
- RRSP matching.
- Generous parental leave policy.
- Annual company retreat and team-building activities.
- Learning and development opportunities to support continued career growth.
- Home office setup stipend.
- Internet and phone allowance.
- Weekly Friday paydays.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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