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.