5 часов назад
Staff Analytics Engineer (Fintech)
150 000 - 200 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Analytics Engineer (Fintech): Building Passage’s analytics foundation, data models, transformation pipelines, dashboards, and decision infrastructure with an accent on canonical metrics, data quality, and lending analytics. Focus on architecting the analytics layer, unifying operational data across growth, credit, finance, product, and operations, and translating complex datasets into strategic decisions.
Location: Toronto office; candidates must be based in Toronto or open to relocating to Toronto and working onsite five days per week.
Salary: C$150K–C$200K plus equity.
Company
builds AI-powered technology that turns paperwork into decisions and expands access to education and career opportunities, including financing for international students through Funding.
What you will do
- Design and own the analytics layer of the data platform, including scalable data models and transformation pipelines.
- Define canonical company metrics, analytical frameworks, documentation standards, and metric governance.
- Build dashboards and analytical tools that help leadership monitor performance and make business decisions.
- Unify data across growth, product, lending, finance, credit, and operations into a reliable analytics layer.
- Analyze lending performance, borrower outcomes, underwriting results, and operational workflows.
- Partner with leaders and data engineering to translate business questions into reliable analytical solutions and improve data quality.
Requirements
- Bachelor’s degree in computer science, engineering, statistics, mathematics, or a related technical field.
- 6–10+ years of experience in analytics engineering, data engineering, or advanced analytics.
- Deep expertise in SQL and large operational datasets.
- Strong experience designing analytical data models and transformation pipelines, with proficiency in Python for data analysis and processing.
- Experience building leadership dashboards and decision frameworks and translating business questions into scalable analytical solutions.
- Ability to work onsite five days per week in the Toronto office, either as a Toronto-based candidate or after relocating.
Nice to have
- Experience in fintech, lending, financial services, or international education.
- Experience analyzing loan portfolios or credit datasets.
- Experience with GraphQL systems, API-driven data pipelines, Metabase, or similar BI tools.
- Experience building an analytics platform from scratch at a startup.
- Experience mentoring analysts or helping grow a data function.
Culture & Benefits
- Lean, high-ownership environment with fast execution and no fixed hierarchy.
- Broad collaboration across engineering, growth, credit, finance, product, and operations.
- Opportunity to shape ’s long-term data strategy and help grow the data team.
- Equity included in the compensation package.
- Artificial intelligence may be used in applicant screening or assessment.
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