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PayU

Data Analyst (Maternity Cover)

PayU
Poland · Full-time · Mid-Senior

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!

Responsibilities

  • 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.

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 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.

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.

About Us

At PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high-growth markets the financial services and products they need to thrive. Our expertise in 18 high-growth markets enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs, to offering credit to underserved individuals, to helping merchants buy, sell and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more www.payu.com

Our Commitment To Building A Diverse And Inclusive Workforce

As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive and safe environment, for all of our people, communities and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility and unbiased attention to each and every PayUneer so they can succeed, irrespective of gender, color or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities or the LGBTQ communities.

Key Skills

Ranked by relevance

data analysis tableau data visualization excel
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Posted
Jul 25, 2025
Type
Full-time
Level
Mid-Senior
Location
Poznań
Company
PayU

Industries

Financial Services

Categories

Information Technology

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