Data Analyst - Fintech

• Investigate, prioritise, and document anomalies in payments data and fraud patterns to support rapid issue resolution and risk mitigation.
• Use advanced Excel skills (e.g., VLOOKUPs, pivot tables, IF conditions) to analyse payment transactions, identify unusual behaviour, and support reconciliation efforts.
• Ensure data accuracy across payment systems by validating transaction records and flagging inconsistencies or suspicious activity.
• Identify trends in payment failures, chargebacks, and fraud attempts to drive process improvements and reduce financial risk.
• Implement consumer data acquisition strategies and e-commerce analytics with a focus on optimising payment funnel performance and detecting fraud signals.
• Build and apply consumer segmentation and profiling models to detect high-risk behaviours and improve fraud prevention tactics.
• Respond to data analysis requests from fraud teams, compliance, finance, and operations with a focus on payment performance and fraud detection insights.
• Retrieve, clean, and prepare transactional data for deep analysis of payment patterns, fraud triggers, and refund behaviours.
• Contribute to daily, weekly, monthly, and annual reporting on payments KPIs, fraud rates, authorization success rates, and risk events.
• Perform in-depth analysis on large volumes of payments and fraud-related data using advanced techniques to extract actionable insights.
• Define and enforce data quality standards specific to payments and fraud monitoring systems, ensuring high confidence in real-time decisions.
• Maintain expertise in analytics tools and practices relevant to payments processing, fraud detection, and compliance reporting.
• Collaborate with engineering, product, risk, and business intelligence teams to embed data quality controls across payments and fraud pipelines.
• Create and optimise metrics and dashboards to monitor payment success, fraud incidents, transaction declines, and risk thresholds.
• Communicate key insights on payment performance and fraud trends to stakeholders, driving cross-functional initiatives for improvement.
• Research discrepancies in payment data and correct records to ensure accurate transaction histories and trustworthy reporting.
• Monitor real-time analytics dashboards for drops in payment success rates or spikes in fraud indicators, enabling swift investigation and escalation.
• Review and act on data control alerts related to payment processing, chargebacks, fraud scoring models, and transaction integrity.
• Continuously analyse payment flows to detect fraud attempts, reduce false positives, and improve approval rates through data-driven strategies.

• 3+ years of experience as a Data Analyst, in payments, fraud, or transactional data.
• Strong SQL skills and experience with large datasets and relational databases.
• Proficient in BI/reporting tools (e.g., Tableau, Power BI, Looker) and Excel.
• Solid understanding of digital payment systems, chargebacks, fraud indicators, and PSPs.
• Experience with data modelling, ETL processes, and data quality best practices.
• Familiarity with Python, R, or statistical tools (SPSS, SAS) is a plus.
• Strong analytical and problem-solving skills with keen attention to detail.
• Ability to communicate findings clearly to technical and non-technical stakeholders.
• Proactive, well-organized, and adaptable in a fast-paced environment.
• Fluent in English, both written and spoken.
• Bachelor’s degree in a relevant field (e.g., Statistics, Economics, Computer Science)

• We’re team-first. If you believe in the power of collaboration and thatthe team’s success is your success,then you’re one of us!
• Fun is fundamental. We believe in forming strong bonds in and outside the oce. That’s why we have a team-building budget and organize activities to enjoy ourselves.
• Positivity wins the day. Bring a positive attitude and communicate openly. Self-awareness and an openness to learn are always a plus.

• At Leadtech, we prioritize your growth. Enjoy a flexible career path with personalized internal training and an annual budget for external learning opportunities.

• Benefit from a flexible schedule with flextime (7 - 9:30 a.m. start, 3:30 - 6 p.m. end) and the option of working full remote or from our Barcelona office. Enjoy free Friday afternoons with a 7-hour workday, plus a 35-hour workweek in July and August so you can savor summer!

• Competitive salary, full-time permanent contract, and top-tier private health insurance (including dental and psychological services).
• 25 days of vacation plus your birthday off, with flexible vacation options—no blackout days!

• If you wish to come, in our office in Barcelona you’ll find it complete with free coffee, fresh fruit, snacks, a game room, and a rooftop terrace with stunning Mediterranean views.
• Additional benefits include ticket restaurant and nursery vouchers, paid directly from your gross salary.

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