Analytics Engineer
New
Canada, the United States, and the United KingdomFull-TimeMiddle
Salary182,240 - 227,800 CAD per year
Apply NowOpens the employer's application page
Job Details
- Required Skills
- SQLSalesforceSnowflakedbtLooker
Requirements
- Delivered production data models and pipelines that power real business decisions.
- Operate autonomously and make thoughtful tradeoffs in a fast-paced environment.
- Skilled in SQL and modern data modeling.
- Writes clean, maintainable, well-organized code.
- Track record of converting manual, ad hoc workflows into automated, durable pipelines or self-service solutions.
- Ability to take a vague problem, ask the right questions, and turn it into a clear technical plan and high-quality solution.
- Works well with both technical and non-technical partners, helping teams clarify their needs, understand tradeoffs, and driving alignment.
- Generalist who enjoys learning new domains and solving a wide range of challenges from Finance to Product to GTM.
- Curious, resourceful, and comfortable challenging assumptions thoughtfully and advocating for approaches that improve scalability and data quality.
- Enjoys untangling complexity and turning chaos into clarity.
- Cares about building simple, transparent, robust data foundations.
- Thinks in terms of systems and scalability, not one-off fixes, and is able to weigh in trade-offs and build systems to solve problems as needed.
Responsibilities
- Partner with teams across Finance, Engineering, Sales, Product, Marketing, and Customer Success to uncover their workflows, challenges, and data needs.
- Design, build, and maintain scalable dbt models and data pipelines supporting financial reporting (ARR, billing, revenue recognition) as well as operational, product, and GTM analytics.
- Tackle ambiguous, high-complexity problems, untangling systems, manual processes, and unclear logic to produce clear, durable data solutions.
- Translate user challenges and incomplete requirements into structured data models, automated workflows, and end-to-end solutions.
- Own solutions from ingestion to transformation to data quality, documentation, and stakeholder enablement.
- Connect data and logic across domains, identifying how systems relate and surfacing opportunities to simplify, standardize, or automate.
- Advocate for high standards in data quality, clarity, documentation, and maintainability.
View Full Description & ApplyYou'll be redirected to the employer's site
