Senior Data Analyst, Fraud and Identity
Job Description
Team: Analyst
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Analyst, Fraud and Identity in Canada.
This role sits at the intersection of data analytics, fraud prevention, and financial integrity within a high-scale digital marketplace environment.
You will transform complex transactional and behavioral data into actionable insights that reduce fraud, abuse, and revenue leakage.
The position plays a key role in shaping fraud strategy across payments, checkout, and identity systems.
You will collaborate closely with Product, Engineering, Data Science, Legal, and Operations teams in a highly cross-functional setting.
Your work will directly influence customer trust, operational efficiency, and financial performance at scale.
This is a flexible, remote-friendly role that values autonomy, ownership, and data-driven decision-making.
Accountabilities:
- 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.
- 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.
- Experience in e-commerce, payments, SaaS, or digital marketplace environments is highly preferred.
- Familiarity with fraud systems, identity verification, or transaction risk tools is an advantage.
- Advanced degree in a quantitative field is a plus.
- Proficiency with AI tools to enhance productivity and analytical workflows is desirable.
- Competitive compensation: CAD $133,000 – $140,500 base salary range (location dependent).
- Eligible for equity grants and annual refresh equity awards.
- Fully remote Flex First work environment with geographic flexibility across approved Canadian provinces.
- Comprehensive healthcare and wellness benefits (varies by eligibility and location).
- Opportunity to work in a high-impact, fast-paced data-driven organization.
- Strong cross-functional collaboration and continuous learning environment.
- Access to modern analytics, data, and AI-enabled tooling to support daily work.
Requirements:
Benefits:
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Date Posted
05/15/2026
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