Data Analyst – Payments Specialist
Leadtech | Remote or Barcelona, Spain
At Leadtech, we’ve been redefining digital businesses since 2009, creating innovative online solutions that reach millions of users every month. With a diverse team of over 700 members from 23+ nationalities, we’re united by a passion for creativity and collaboration.
We specialize in delivering user-centric experiences across web and mobile platforms, where people can connect with our products like never before. We’re proud of our global reach and committed to fostering an inclusive workplace where every individual contributes to our shared vision of bringing cutting-edge projects to life.
About the Role
Due to continuous growth, we are seeking an ambitious and detail-oriented Data Analyst – Payments Specialist to drive data-led insights and support our payments strategy during a critical expansion phase.
As a fast-growing B2C company with a strong presence in the US and European markets, we are focused on scaling our brand, optimising payment performance, and enhancing fraud prevention. This role requires a strong analytical mindset and a deep understanding of digital payment ecosystems, transactional data, and customer behaviour.
You will play a key role in analysing payment trends, identifying inefficiencies, preventing fraud, and enabling data-driven decision-making across our payments and risk operations.
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, authorisation 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.
- 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.
- 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.
- Research discrepancies in payment data and correct records to ensure accurate transaction histories.
- Monitor real-time analytics dashboards for drops in payment success rates or spikes in fraud indicators.
- Review and act on data control alerts related to payment processing, chargebacks, and fraud scoring models.
- Continuously analyse payment flows to detect fraud attempts, reduce false positives, and improve approval rates.
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.
- 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-organised, 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).
Your Team
- Team-first: We believe in the power of collaboration and that the team’s success is your success.
- Fun is fundamental: We have a team-building budget and organise activities to enjoy ourselves.
- Positivity wins the day: Bring a positive attitude and communicate openly.
Benefits
Growth and Career Development
- Flexible career path with personalised internal training and annual budget for external learning opportunities.
Work-Life Balance
- Flexible schedule with flextime (7–9:30 a.m. start, 3:30–6 p.m. end).
- Option to work fully remote or from our Barcelona office.
- Free Friday afternoons with a 7-hour workday.
- 35-hour workweek in July and August.
Comprehensive Benefits
- Competitive salary and permanent contract.
- Private health insurance (including dental and psychological services).
- 25 vacation days plus your birthday off.
Unique Perks
- Office in Barcelona’s Blue Building with stunning Mediterranean views.
- Free coffee, fresh fruit, snacks, game room, and rooftop terrace.
- Restaurant and nursery vouchers.
Location
You can choose to work fully remote or from our Barcelona office. If you enjoy an in-office environment, you’ll benefit from an exceptional location with great amenities.
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