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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

Job title

Job type

Full Time

Experience level

Senior

Salary

CA$81,500 - CA$107,500 per year

Degree requirement

Bachelor's Degree

Tech skills

CloudSQL

Location requirements

HybridVancouverCanada

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