Fraud Data Analyst

Hybrid (UK) | Oxford 1 day per week | 6-Month Contract

£27.50–£30.00 per hour | 37.5 hours per week

We're looking for a hands‑on Fraud Data Analyst to join a fast‑moving Trust & Safety team. You'll use SQL to investigate fraud, chargebacks, payments, compliance, and operational trends across large, complex datasets, often containing millions of records.

• Analyse large-scale transaction and payment data to identify fraud trends and root causes
• Combine multiple data sources to uncover actionable insights
• Develop recommendations, fraud controls, alerts, and operational improvements
• Support fraud and chargeback investigations
• Produce operational and performance reporting
• Identify opportunities for automation and process improvement
• Present complex findings clearly to technical and non‑technical stakeholders

• Strong hands‑on SQL skills and experience working with large datasets
• Proven ability to investigate issues, identify root causes, and drive business action
• Excellent data storytelling and stakeholder communication skills
• Curious, proactive mindset with an interest in automation and AI‑assisted analysis

• Fraud, payments, e‑commerce, Fin Tech, risk, compliance, or Trust & Safety experience
• Big Query, Tableau, Looker, Python, SPSS, Jira
• Experience with AI tools such as Claude, Gemini, or Cursor
• Workflow automation tools such as n8n

This role would suit a Data Analyst, Data Analyst, Insight Analyst, Fraud Analyst, Risk Analyst, Compliance Analyst, or Data Scientist with around 3–5 years' experience.