Spring Financial

Senior Data Analyst, Risk

Spring Financial

full-time

Posted on:

Location Type: Hybrid

Location: Vancouver • 🇨🇦 Canada

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Salary

💰 CA$81,500 - CA$107,500 per year

Job Level

Senior

Tech Stack

AWSCloudPythonSpringSQLTableau

About the role

  • Architect and guide the delivery of scalable, reliable data pipelines and analytical workflows supporting credit risk use cases across AWS and Snowflake.
  • Create advanced dashboards and reporting in Tableau, Hex, Power BI, or Qlik Sense for executive visibility and operational monitoring.
  • Analyze credit bureau data, market trends, and internal portfolio performance to surface insights that influence underwriting, pricing, and collections strategy.
  • Lead analytical projects from scoping through delivery, translating complex questions into structured frameworks and actionable recommendations.
  • Modernize legacy data flows, unify batch and streaming sources, and improve data models to support self-serve analytics and ML initiatives.
  • Collaborate with engineering, analytics, product, and finance teams to clarify ambiguous problems, assess risks, and propose scalable solutions.
  • Use Python and AI tools to perform advanced exploratory analysis, build predictive insights, and validate statistical outputs.
  • Partner with ML and Finance teams to ensure datasets meet the appropriate latency, accuracy, and governance standards.
  • Present findings and strategic recommendations to senior leadership, influencing direction and decisions across credit and product lines.
  • Mentor analysts and contribute to elevating Spring’s analytical rigor, documentation standards, and data-driven culture.

Requirements

  • Proven experience in data analytics with exposure to credit risk, consumer lending, fintech, banking, or financial-services analytics.
  • Strong proficiency in SQL and Python for analytical workflows, modeling, and exploration.
  • Advanced skills in BI tools such as Tableau, Hex, Power BI, or Qlik Sense, with experience creating reports for senior management.
  • Experience working with cloud data platforms such as Snowflake and AWS.
  • Strong understanding of data modeling, schema evolution, and how pipeline design impacts downstream analytics.
  • Ability to independently lead cross-functional initiatives and align analytical work with business value.
  • Excellent communication skills and the ability to present insights clearly to senior stakeholders.
  • Comfort using AI tools to accelerate analysis, forecasting, segmentation, and hypothesis generation with appropriate validation.
  • Experience partnering with data engineering, BI engineering, and product teams on data requirements, pipeline improvements, and quality assurance.
  • Experience documenting dashboards, metric definitions, and analytical logic to support transparency and adoption.
Benefits
  • Comprehensive benefits package, including extended health, dental, and vision coverage — with 100% of monthly premiums covered by the 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analyticsSQLPythondata modelingBI toolsdata pipelinespredictive insightsexploratory analysisstatistical outputsdata governance
Soft skills
communication skillsleadershipcollaborationproblem-solvingmentoringanalytical rigordocumentationindependent initiativeinfluencingclarifying ambiguous problems