Commitment: Full-time Location: Poznań, Poland Work type: Hybrid

About PayU

PayU is a leading payment and Fintech company operating in over 50 high-growth markets across Asia, Central and Eastern Europe, Latin America, the Middle East, and Africa. As part of the Prosus group, one of the world's largest technology investors, PayU is redefining online buying and selling for its 300,000+ merchants and millions of consumers. As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms, processing approximately 6 million payments daily.

Join Our Team as a Data Analyst!

We are seeking a detail-oriented and analytical individual to join our team as a Data Analyst (Maternity Cover). In this role, you will work with large datasets, design reports and dashboards, and contribute to data-driven decision-making. If you have experience in data analysis and reporting, we would love to hear from you!

Responsibilities:

• Analyzing large datasets to identify patterns, trends, and problems.
• Presenting conclusions from data analysis in a structured format (report, presentation, data sheet).
• Designing and maintaining dashboards using various technologies (e.g., Kibana, Tableau).
• Documenting the analysis and reporting process.
• Ensuring the appropriate quality of data used for analysis or report creation.
• Automating and improving the current reporting process.
• Performing quality checks of prepared reports and analyses.
• Creating and modifying rules in the Feedzai system.
• Analyzing the effectiveness indicators of rules and proposing changes.

Qualifications and Experience:

• Bachelor's degree in a technical or quantitative field (computer science, engineering, finance, statistics, or related field).
• At least 2 years of experience in building reports and analyzing data.
• Knowledge of methods for analyzing large and complex datasets.
• Knowledge of data visualization tools and related tools (e.g., Tableau, Kibana).
• Very good knowledge of Excel and SQL.
• Proficiency in analyzing large and complex datasets.
• Experience in preparing recommendations resulting from data analysis.
• English language proficiency at B1 level or higher.
• Nice to have: familiarity with AML processes and risk management.

Skills & Knowledge:

• Focus on details.
• Non-standard thinking.
• Ability to work independently and in a team.
• Curiosity in data exploration and analysis.
• Logical thinking.
• Willingness to constantly learn and expand your competences.