Senior Data Analyst

Utorg

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

About the Company

Utorg is building the future of hybrid money, connecting traditional finance with blockchain and decentralized systems through products like crypto cards, non-custodial wallets, and advanced crypto processing tools.

Responsibilities

  • Build and maintain complex metrics trees, conversion funnels, and interactive dashboards using Looker or Grafana
  • Automate external analytics delivery and design customized reports for compliance and auditing reviews
  • Gather and formalize business requirements for financial data marts, bridging Finance and Data Engineering
  • Design a data quality framework on the BI layer with automated validation and alerting
  • Conduct portfolio data analysis and develop forecasting models (LTV, retention, profitability)
  • Perform complex financial turnover analysis, anomaly detection, and A/B testing using BigQuery, Python, and Golang

Requirements

  • 5+ years in data analysis, finance analytics, or regulatory reporting within fintech, payments, or banking
  • Expert-level SQL skills for BigQuery extraction and complex aggregations
  • Strong proficiency in Python (Pandas, Numpy) for data research and modeling
  • Extensive experience with BI tools (Looker, Grafana, Tableau, or Power BI)
  • Solid understanding of financial terminology, P&L structures, IFRS standards, and risk metrics
  • Ability to write clear technical requirements for Data Engineering teams

Preferred Qualifications

  • Experience with streaming data and event schemas (Kafka, Kinesis)
  • Working knowledge of Spark, BigQuery, or Snowflake
  • Prior experience in crypto payments, custody reconciliation, or AML/transaction monitoring
  • Familiarity with regulatory reporting standards (CTR/STR workflows)
  • Degree in finance, accounting, mathematics, or computer science

Skills & tools

SQLPythonBigQueryLookerFintech

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015+ years in data analysis or finance analytics
  2. 02Expert SQL skills
  3. 03Proficiency in Python (Pandas, Numpy)
  4. 04Experience with BI tools
  5. 05Understanding of P&L and IFRS standards
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