11 часов назад
Data Analyst (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (Fintech): Building reliable datasets, dashboards, transaction cost models, and automated reconciliations for a crypto payments business with an accent on SQL, dbt, payment economics, and data quality. Focus on tracing settlement discrepancies to root causes, modeling acquirer and blockchain-related costs, and validating data as new payment products and providers go live.
Location: Cyprus (Remote)
Company
is a fintech and Web3 company building infrastructure that combines traditional financial services with decentralized finance and crypto payments.
What you will do
- Model new products by defining data logging, revenue recognition, cost logic, data marts, and dashboards.
- Partner with Operations, Finance, Partnerships, Data Engineering, engineers, and product managers to turn business questions into reliable datasets.
- Build and maintain transaction cost models covering acquiring, interchange, scheme, FX, KYC, fraud, chargebacks, blockchain, and custody fees.
- Create data-quality checks and alerts using dbt tests and Airflow, integrating notifications with Slack and Jira.
- Automate monthly reconciliations between partner invoices, settlement reports, internal ledgers, blockchain data, custody systems, and exchanges.
- Define mappings and validate data when new acquirers, payment methods, or products are launched.
Requirements
- 5+ years of experience in data analytics or analytics engineering, preferably in payments, fintech, e-money, or crypto.
- Expert SQL skills for large transactional datasets, including window functions, deduplication, incremental logic, and performance tuning.
- Hands-on experience with dbt or a similar tool, Git-based workflows, pull requests, and code review; familiarity with Airflow.
- Strong understanding of card payment economics, including acquiring, interchange and scheme fees, settlement, chargebacks, 3DS, declines, and alternative payment methods.
- Experience with Python, BI tools such as Metabase or Tableau, and reconciliation of settlement or invoice data against internal ledgers.
- Professional English, written and spoken.
Nice to have
- Knowledge of crypto infrastructure, including on-chain transactions, custody platforms, exchange APIs, and network fees.
- Experience with KYC/AML and fraud-prevention vendors and their pricing models.
- Experience with ClickHouse, StarRocks, or another MPP database.
- Experience building P&L or unit-economics models with Finance.
Culture & Benefits
- Remote-first culture with flexible working hours and remote work options.
- 22 days of annual leave, six additional company days, and bank holidays.
- Comprehensive health insurance, maternity and paternity leave support, and an extensive benefits program.
- Modern offices and co-working spaces across six countries, plus working equipment.
- Professional development, training opportunities, and the opportunity to shape ongoing initiatives.
- Diverse, collaborative environment with an AI-first approach to operations, analytics, marketing, and product workflows.
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