Leadtech is hiring a Data Analyst - Fintech to drive data-led insights and support payments strategy during a critical expansion phase. You will play a key role in analysing payment trends, identifying inefficiencies, preventing fraud, and enabling data-driven decision-making across payments and risk operations.

What You'll Do

Investigate, prioritise, and document anomalies in payments data and fraud patterns to support rapid issue resolution.
Use advanced Excel skills to analyse payment transactions, identify unusual behaviour, and support reconciliation.
Ensure data accuracy across payment systems by validating transaction records and flagging inconsistencies.
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.
Build and apply consumer segmentation and profiling models to detect high-risk behaviours and improve fraud prevention.
Respond to data analysis requests from fraud teams, compliance, finance, and operations.
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, and authorization success rates.
Perform in-depth analysis on large volumes of payments and fraud-related data using advanced techniques.
Define and enforce data quality standards specific to payments and fraud monitoring systems.
Maintain expertise in analytics tools and practices relevant to payments processing and fraud detection.
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, and risk thresholds.
Communicate key insights on payment performance and fraud trends to stakeholders, driving cross-functional initiatives.
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.

What We're Looking For

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).

Nice to Have

Familiarity with Python, R, or statistical tools (SPSS, SAS) is a plus.

Technical Stack

SQL, Excel, BI/reporting tools (e.g., Tableau, Power BI, Looker)
Python, R, SPSS, SAS

Team & Environment

You will join a diverse team of over 700 members and collaborate closely with engineering, product, risk, and business intelligence teams.

Benefits & Compensation

Flexible career path with personalized internal training.
Annual budget for external learning opportunities.
Flexible schedule with flextime (7 - 9:30 a.m. start, 3:30 - 6 p.m. end).
Option of working full remote or from our Barcelona office.
Free Friday afternoons with a 7-hour workday.
35-hour workweek in July and August.
Competitive salary.
Full-time permanent contract.
Top-tier private health insurance (including dental and psychological services).
25 days of vacation plus your birthday off.
Flexible vacation options—no blackout days.
Office perks: free coffee, fresh fruit, snacks, a game room, and a rooftop terrace.
Ticket restaurant and nursery vouchers, paid directly from your gross salary.

Work Mode

This is a hybrid role based in Barcelona, Spain, with the option to work full remote or from the office.

Leadtech is an Equal Employment Opportunity (EEO) Employer, encouraging applications from people with different backgrounds, interests, and personal circumstances. Our team welcomes applicants regardless of race, gender, age, religion, nationality, sexual orientation, or disabilities.