Cosmolot is a Ukrainian product IT company that creates and develops an online digital entertainment platform. We build technology-driven solutions with a strong focus on security, transparency, and user comfort.
As a Data Analyst, you will analyze payment and fraud-related data, identify suspicious patterns and risks, and support fraud prevention and payment optimization initiatives through data-driven insights and reporting.
Requirements * 4+ years of experience as a Payment Analyst, Fraud Analyst, Product/Data Analyst, Risk Analyst, or similar role * Strong practical knowledge of SQL: CTEs, window functions, aggregations, joins, query optimization * Experience analyzing payment transactions, payment funnels, success rates, declines, errors and fraud-related metrics * Practical experience with Power BI * Strong Excel skills * Ability to work with large datasets and combine data from multiple sources * Strong analytical thinking and attention to detail * Understanding of key payment and fraud metrics (AR, SR) * Strong communication skills and ability to clearly present insights to business stakeholders * Ability to work independently in a dynamic environment
Your Responsibilities * Analyze payment performance, fraud prevention metrics, and player transaction behavior to support business decisions * Investigate suspicious activity, fraud patterns, bonus abuse, multi-accounting, payment manipulation, and other abnormal user behaviors * Collaborate with business teams (Product, Payments, Risk & Fraud) on data requirements, analytical insights, fraud prevention, and payment optimization initiatives * Collect, prepare, validate, and combine data from multiple sources for analysis and reporting * Build and maintain analytical reports and dashboards in Power BI for payment, fraud, and transaction monitoring
Nice to Have * Experience in iGaming, fintech, payments, traffic analytics, or other high-risk industries * Experience with PSPs, payment providers, aggregators, antifraud or risk management systems * Knowledge of fraud detection, bonus abuse, or suspicious activity analysis * Basic experience with Python for data analysis or automation * Understanding of payment processes (routing, cascading, 3DS, BIN analysis, card, crypto, and alternative payments)
What We Offer * Work in a strong team of professionals and genuinely supportive people * Opportunities for professional growth and development * Flexible working hours * Medical insurance * Sports expense compensation * Psychological support * Free language classes (English, Spanish, and German) * 18 working days of paid vacation, paid sick leave, and sick days * Regular team buildings and corporate events * All necessary equipment for comfortable work
