CPJ

Payments Data & Insights Analyst, International Acceptance sql, insights, data, payments, snowflake London 2 days a week - 12 month contract Join the International Acceptance team as a Data & Insights Analyst , where you will turn complex datasets into clear insights, strengthen KPI reporting, and help operationalise market playbooks across multiple countries. You ll work closely with Strategy, Data, Sales, and Partnerships to keep the acceptance programme moving with speed, structure, and discipline. What You Will Do Build and maintain core dashboards, including Spend Coverage, Location Coverage, Customer Journeys, and GTM merchant lists. Clean, structure, and validate merchant, acquirer, and BIN-level data to ensure accuracy and trust in reporting. Analyse market, merchant, and partner performance and surface actionable insights for senior leadership. Support operational governance through KPI baselines, templates, status tracking, and monthly/quarterly reviews. Prepare clear, executive-ready presentations and one-pagers for VPs, Presidents, Data, and GTM stakeholders. Coordinate delivery across key markets (UK, MX, FR, ES, IT, JP), acting as a connector across teams. Provide ad-hoc analysis and PowerPoint support to inform strategic decisions. What You Bring A strong analytical mindset and confidence using Excel/Sheets and SQL (Snowflake experience is a plus). The ability to clean, structure, and validate messy datasets with discipline. Clear, concise written communication and the ability to translate data into business implications. High ownership, reliable follow-through, and comfort working in ambiguity. Curiosity about and ideally experience in payments, merchants, PSPs, and the acquiring/payments ecosystem. A team-first attitude: organised, proactive, structured, and eager to learn. Why This Role Matters Your work will underpin the dashboards, GTM merchant target lists, and KPIs that guide all decisions in International Acceptance. You will give leadership the clarity they need, improve cross-country execution, and help build a scalable, data-driven operating model.