Fraud Data Analyst

ITHOUSE is a company that for over 7 years has connected IT specialists with projects that impact how Poles use technology daily. They collaborate with public institutions and commercial companies to modernize systems used by millions. They also conduct ambitious R&D projects, including for Samsung, where technology meets artificial intelligence and innovation.

• Minimum 4–5 years of experience in data analysis, BI, controlling, or financial areas
• Very good knowledge of SQL and experience working with large datasets
• Practical experience with relational databases, preferably Oracle
• Experience analyzing source data and data warehouses
• Ability to identify dependencies, anomalies, and potential data irregularities
• Experience preparing analyses, reports, and business conclusions
• Ability to independently conduct analyses and deep-dive into data
• Analytical thinking and ability to draw conclusions based on data
• Experience with fraud detection, AML, or risk projects is a significant advantage

• Analyze source data and data stored in data warehouses
• Search for dependencies, correlations, anomalies, and potential irregularities in data
• Conduct in-depth analyses focused on risk identification and fraud detection
• Verify the quality, consistency, and completeness of data from various sources
• Create SQL queries and perform ad hoc analyses
• Prepare reports, summaries, analyses, and business recommendations
• Co-create logic and criteria for the future anti-fraud system
• Analyze financial and controlling processes and data
• Collaborate with business and technical teams to interpret analysis results and define data requirements