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.