Data Analyst - Fraud

Overview

Data Analyst for fraud, focused on investigating fraud attacks, measuring impact, and translating insights into prioritised mitigation actions.

What you'll do

• Investigate fraud attacks, quantify their impact, and present clear findings for prioritisation and response.
• Propose and refine rule-based mitigations, working with fraud operations and engineering to implement them.
• Build and maintain reporting and dashboards to monitor fraud trends, rule performance, and operational metrics.
• Collaborate with fraud operations, data scientists, engineers, and product managers to turn analytical insights into action.
• Identify emerging patterns and flag risks before they escalate.

What you'll need

• Proven experience as a Data Analyst (Fraud) or similar role (4+ years).
• Advanced proficiency with SQL for complex queries across large datasets.
• Experience in fraud, risk, or financial services, including understanding fraud attacks and mitigation trade-offs.
• Some exposure to Python or scripting for data manipulation and analysis.
• Proficiency with a BI tool (PowerBI, Looker, Tableau, Superset, Redash, or alternatives).
• Strong stakeholder management and ability to communicate findings to various teams and leadership.
• Proficiency with a spreadsheet tool (Microsoft Excel or Google Sheets, or alternatives).

Details

• Location: Remote, Spain.