Data Analyst

Summary

Join Leadtech, a fast-growing B2C company, as a Data Analyst – Payments Specialist. You will drive data-led insights and support our payments strategy during a critical expansion phase. Analyze payment trends, identify inefficiencies, prevent fraud, and enable data-driven decision-making. This role requires strong analytical skills and a deep understanding of digital payment ecosystems. You will play a key role in analyzing payment trends, identifying inefficiencies, preventing fraud, and enabling data-driven decision-making across our payments and risk operations. Leadtech offers a flexible work environment, competitive salary, and comprehensive benefits. We prioritize your growth with personalized internal training and an annual budget for external learning opportunities.

Requirements

• 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
• 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)

Responsibilities

• 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

Preferred Qualifications

Familiarity with Python , R , or statistical tools ( SPSS, SAS )

Benefits

• 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!
• 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
• Free Friday afternoons with a 7-hour workday, plus a 35-hour workweek in July and August so you can savor summer!
• 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
• Growth and career developmentAt Leadtech, we prioritize your growth. Enjoy a flexible career path with personalized internal training and an annual budget for external learning opportunities