Fraud Data Analyst

Fraud Data Analyst (Contract) 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. What You'll Do • 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 What You'll Bring • 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 Nice to Have • Fraud, payments, e-commerce, FinTech, risk, compliance, or Trust & Safety experience • BigQuery, 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.