Commitment: Full-time Location: Poznań, Warsaw, 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 utilize over 400 payment methods and PCI-certified platforms to process 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 be delighted 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 within 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.
- Familiarity with data visualization tools and related technologies (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:
- Attention to detail.
- Non-standard thinking.
- Ability to work independently and as part of a team.
- Curiosity in data exploration and analysis.
- Logical thinking.
- Willingness to continuously learn and expand your competencies.
