Senior Data Analyst - Fintech (m/f/d)

Toronto, ON
On-site
Posted Oct 16, 2026
1 position

$110,000–$140,000 / year

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Employment type: Full-time
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Build and maintain analytical data models, KPI definitions, and standards that support consistent measurement across fintech products, financial workflows, fraud prevention, and customer journeys. Partner with product, engineering, and business teams to deliver reliable insights, guide product decisions, and mentor analysts on analytical methods and data quality.

Job details

We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.ca, AutoSync, Dealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence. Learn more at tradercorporation.com. As part of AutoScout24 group, Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond. As (Senior) Data Analyst, you will establish and scale the analytical data foundations for our Fintech ecosystem across Dealertrack and CMS. You will work closely with product, engineering, and business teams to enable reliable, data-driven decision-making. Your work will support product strategy, fraud prevention, customer trust initiatives, and the modernization of our Fintech platforms. What you’ll do: Design, build, and own core analytical data models supporting consistent measurement across fintech products, including fraud prevention, transaction flows, and customer journeys Define and document KPI logic, metric definitions, and analytical standards to ensure a shared and trusted view of performance across fintech analytics Act as an analytical partner to Fintech product teams supporting Dealertrack and CMS, generating insights that enable data-informed product development, optimization, and prioritization Ensure product and business decisions are grounded in robust and reliable analysis across financial workflows Serve as a technical mentor within the analytics team, establishing best practices for analytical methodologies, data quality, and metric definitions in a regulated fintech environment Guide junior analysts on complex analytical problems and collaborate with cross-functional teams to strengthen data literacy and promote data-informed decision making What you’ll need 5+ years of experience in data analytics with strong hands-on experience in analytical data modelling, ideally supporting financial, saas or platform-based products Strong proficiency in SQL and BI tools such as power bi, tableau or quicksight Demonstrated regular use of GenAI tools to accelerate sql development, analytical modelling, documentation and problem-solving with measurable impact on efficiency or quality Experience working with financial, transactional or operational datasets Ability to work autonomously and partner closely with fintech product and engineering teams to identify analytical needs and translate them into actionable insights Strong communication skills and ability to present complex data and financial concepts to non-technical stakeholders Proven ability to gather, analyze and synthesize data from multiple systems while ensuring accuracy, consistency and trust in reported metrics What’s in it for you We understand that there is life at work and life outside of work. Here are a few benefits that support us to be our creative best. Gym discounts Employee and Family Assistance program Virtual wellness events Conferences & training budget Regular internal training programs Financial planning with 3% matching Pension Competitive salary Annual bonus structure The base salary range for this position is CAD $110.000 – $140.000. This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role, the total rewards package may also include benefits, bonus, and other employee offerings. Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position. Vacancy Status: This job posting is for an existing vacancy.

What you’ll do

Requirements

Requires 5+ years of data analytics experience, strong hands-on analytical data modeling, SQL proficiency, and experience with BI tools and financial, transactional, or operational datasets. Candidates should demonstrate regular, measurable use of generative AI tools and be able to work autonomously, communicate complex findings clearly, and collaborate with fintech product and engineering teams.