About the job
About Us
Piraeus Bank is dedicated to serving as a cornerstone of stability for the Greek economy, driving growth and fostering innovation. Our mission is to positively impact society, benefiting our customers, employees, shareholders, and the broader community while embodying our core values. We strive to create value in every endeavor, push boundaries, inspire our customers, and cultivate trustworthy relationships.
As the leading bank in Greece, Piraeus offers a comprehensive range of financial products and services to approximately 4.5 million customers, leading the market in customer loans and deposits.
In 2025, we were honored by The Banker as the “Best Bank in Greece” during the esteemed Bank of the Year Awards. Additionally, at the Euromoney Awards for Excellence, we were recognized as Europe’s Best Bank for Corporate Social Responsibility, Greece’s Best Bank for ESG, and Greece’s Best Digital Bank, showcasing our unwavering commitment to responsible banking, sustainability, and digital transformation.
About the Role:
We are looking for a talented and qualified Business/Data Analyst to join our dynamic Data Analysis Team. In this pivotal role, you will serve as a vital link between Business Units and our Data Analysis function, adeptly translating business requirements into actionable, data-driven solutions. You will play a key role in the analysis, design, and delivery of data and reporting capabilities, ensuring high data quality, accuracy, and alignment with business objectives. Your contributions will be essential in driving data warehouse initiatives, enhancing reporting, and developing Business Intelligence solutions.
Key Responsibilities:
- Collaborate with Business Units to identify, analyze, and document data and reporting requirements.
- Analyze requirements and develop detailed specifications for data elements, information flows, and reports sourced from the Bank’s Data Warehouse.
- Configure and parameterize data structures and reporting components in accordance with business and technical specifications.
- Conduct User Acceptance Testing (UAT) to verify the accuracy, completeness, and reliability of delivered results.
- Design and implement initiatives to ensure data quality, consistency, and completeness, including validation checks and controls.
- Perform ongoing data validation and reconciliation checks to maintain the integrity of outputs.
- Prepare specifications for new data enhancements or updates to existing structures, aiming to optimize data repository content and usability.

