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What is the role of a Senior Data Analyst, Fraud and Identity at Jobgether?

The Senior Data Analyst, Fraud and Identity position at Jobgether is a Full-time or part-time position opportunity in the Information Technology field.

Where is this Senior Data Analyst, Fraud and Identity job located?

Canada Creek, Nova Scotia, B0P 1V0, Canada

What type of employment is offered for this Senior Data Analyst, Fraud and Identity role?

Full-time or part-time position

What is the expected salary for this Senior Data Analyst, Fraud and Identity job?

Compensation will be discussed during the hiring process.

Senior Data Analyst, Fraud and Identity job near me in Canada Creek, Nova Scotia at Jobgether

Senior Data Analyst, Fraud and Identity

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.

Requirements:

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.

Benefits:

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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Senior Data Analyst, Fraud and Identity in Canada Creek, Nova Scotia at Jobgether

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