Data Analyst - Fintech (m/f/d)

AutoTrader.ca; Toronto; On-site; CAD 90,000 - 120,000; Full time

Benefits offered by this job

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

Job summary

AutoTrader.ca in Toronto is seeking a skilled Data Analyst to support data-driven decisions across fintech products. The ideal candidate will have over three years of experience in data analytics and strong SQL skills. Responsibilities include analyzing transaction flows, measuring key KPIs, and providing insights for product strategies. The position offers a competitive salary ranging from CAD $90,000 to $120,000, alongside benefits like fitness discounts and financial planning assistance.

Qualifications

• 3+ years of experience in data analytics in product, fintech, SaaS or platform environments.
• Experience working with financial, transactional or operational datasets.
• Ability to work closely with product and business stakeholders to deliver insights.

Responsibilities

• Partner with Fintech product teams to analyze Dealertrack and CMS data.
• Conduct deep-dive analyses on product funnels and transaction flows.
• Analyze fraud prevention performance and identify risks.

Skills

SQL skills

Experience with BI tools (Power BI, Tableau, QuickSight)

Strong analytical and problem-solving mindset

Strong communication skills

Experience using GenAI tools

Job description

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 Data Analyst, you will support data-driven decision-making across our Fintech products including Dealertrack and CMS. You will work closely with product and business teams to analyze transaction flows, fraud performance, and customer journeys to generate actionable insights. Your work will help improve product strategy, strengthen fraud prevention, and increase customer trust while supporting the modernization of core Fintech platforms.

What you’ll do:

• Partner with Fintech product teams to analyze Dealertrack and CMS data and support product decisions
• Conduct deep-dive analyses on product funnels, transaction flows and customer journeys
• Measure and monitor key fintech KPIs using established analytical data models
• Translate business questions into structured analyses and clear recommendations
• Analyze fraud prevention performance and identify risks and improvement opportunities
• Communicate insights to technical and non-technical stakeholders to support decision-making

What you’ll need

• 3+ years of experience in data analytics in product, fintech, SaaS or platform environments
• Strong SQL skills and experience with BI tools such as Power BI, Tableau or QuickSight
• Experience using GenAI tools to improve productivity in SQL development, data exploration, and documentation
• Experience working with financial, transactional or operational datasetsAbility to work closely with product and business stakeholders to deliver insights
• Strong communication skills and ability to present analytical findings clearly
• Strong analytical and problem-solving mindset with focus on data quality and accuracy

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 $90,000 – $120,000.

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.