About PayU
PayU, a leading payment and Fintech company in 50+ high-growth markets throughout Asia, Central and Eastern Europe, Latin America, the Middle East and Africa, part of Prosus group, one of the largest technology investors in the world is redefining the way people buy and sell online for our 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 to process approximately 6 million payments every single day.
Join Our Team as a Data Analyst!
We are looking for a detail-oriented and analytical individual to join our team as a Data Analyst (Maternity Cover). In this role, you will work with large data sets, design reports and dashboards, and contribute to data-driven decision-making.
If you have experience in data analysis and reporting, we’d love to hear from you!
- Analyzing large data sets to identify patterns, trends, problems,
- Presenting conclusions from data analysis in a structured form (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 along with proposing changes.
- 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 data sets,
- 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 data sets,
- Experience in preparing recommendations resulting from data analysis,
- English at B1 level or higher,
- Nice to have: familiarity with AML processes and risk management.
- 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.
