Analyste de données principal modernisant les plateformes et pipelines de données d’EDC, société financière publique canadienne. Traduction des besoins opérationnels en modèles, règles de transformation et récits utilisateurs.
About the role
- Senior Data Analyst responsible for analytical insights in credit risk and finance at Spring Financial. Collaborate cross-functionally to drive data-driven strategies in a fast-growing fintech environment.
Responsibilities
- Serve as a trusted analytical partner to senior leaders and executives, proactively surfacing insights and translating high-level strategic questions into structured, actionable analyses.
- Navigate ambiguity with confidence — take loosely defined requests, ask the right clarifying questions, and deliver analytical work that addresses the real underlying business need.
- Present findings and recommendations to senior leadership in clear, compelling narratives that influence direction across credit, product, and finance.
- Play an active role in building out our agentic analytics capabilities — including designing the context layers, semantic definitions, and metric logic that AI agents rely on to answer business questions reliably.
- Work with modern, AI-native BI and analytics tooling to build analyses and dashboards that are not just human-readable, but agent-ready.
- Help define and evolve how analysts work alongside automated pipelines and AI-driven workflows — contributing to a culture that embraces augmentation over repetition.
- Own the definition and documentation of key business metrics, ensuring there's a shared, consistent understanding of how the business measures itself.
- Ensure that analytical work is well-documented and easy for others to build on — including the AI-driven workflows that increasingly depend on that foundation.
- Partner with data and engineering teams to surface gaps in how data is structured or defined, and advocate for improvements that make analysis faster and more reliable.
- Analyze credit bureau data, portfolio performance, and market trends to surface insights that inform underwriting, pricing, collections, and product strategy.
- Lead analytical projects end-to-end — from scoping and data modeling through to delivery and stakeholder communication.
- Use AI-assisted tools to accelerate exploratory analysis, segmentation, and hypothesis generation — with a critical eye for validating outputs before acting on them.
- Collaborate with engineering teams to clarify data requirements, resolve quality issues, and contribute to a high-integrity data environment.
Requirements
- Proven experience in a senior data analytics role, ideally with exposure to credit risk, consumer lending, fintech, or financial services.
- Demonstrated ability to work directly with executives and senior stakeholders — translating ambiguous, high-stakes questions into clear analytical frameworks and recommendations.
- Strong proficiency in SQL for data extraction, transformation, and analysis within a cloud data platform (Snowflake or similar).
- Experience defining and governing business metrics — including documentation of logic, assumptions, and intended use.
- Hands-on experience with modern, AI-native BI and analytics tools, with a track record of building executive-facing reports and dashboards.
- Excellent communication skills — both written and verbal — with the ability to tell a clear story with data for both technical and non-technical audiences.
- Comfort operating in ambiguity: you ask good questions, make reasonable assumptions explicit, and know when to move forward vs. when to dig deeper.
Benefits
- Comprehensive benefits package, including extended health, dental, and vision coverage — with 100% of monthly premiums covered by Spring.
- GRSP matching program to support your long-term financial goals.
- Transit-Friendly Employer (Transit allowance).
- A modern, collaborative workspace in the heart of downtown Vancouver.
- Ongoing career growth opportunities
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