Senior Data Analyst, Fraud and Identity

New

Geographic flexibility across approved Canadian provincesFull-TimeSenior

Salary133,000 - 140,500 CAD per year

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Job Details

6–8 years of experience in data analytics, preferably within fraud, payments, identity, risk, or marketplace environments.
Strong proficiency in SQL with the ability to write complex queries, joins, and optimized data transformations.
Experience with analytical programming languages such as Python or R.
Hands-on experience with data visualization tools such as Tableau, Looker, Mode, or similar platforms.
Solid understanding of statistical methods, experimentation design, and A/B testing frameworks.
Strong communication skills with the ability to translate complex data into clear business narratives.
Experience working cross-functionally with Product, Engineering, Operations, and Analytics teams.
Strong ownership mindset, analytical rigor, and ability to drive strategic decisions through data.

Drive end-to-end data analysis across fraud, identity, payments, and reconciliation domains to identify trends, anomalies, and opportunities for improvement.
Monitor, analyze, and improve key KPIs such as fraud costs, chargeback rates, revenue leakage, and transaction risk signals.
Design and maintain dashboards and reporting frameworks to create a single source of truth for fraud and operational metrics.
Partner with Product, Engineering, and Data teams to improve event instrumentation, data quality, and tracking accuracy.
Design and analyze A/B and multivariate experiments to evaluate fraud prevention strategies and product changes.
Develop scalable automated reporting solutions to support leadership decision-making and operational visibility.
Communicate insights and recommendations clearly to senior stakeholders to influence strategic direction.

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