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Lead Data Analyst
LinkedIn Recruiter Post
RBC seeks a Lead Data Analyst to drive enterprise data platform initiatives, acting as a technical lead for data flow, AI/ML, and analytics.
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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