System analyst/DBA

As a System Analyst/DBA at Raiffeisen Bank, your main responsibilities include analyzing data, ensuring its accuracy, and developing mapping for data loading scenarios. You will also optimize SQL queries to enhance performance and support ETL processes using tools like ODI. Communication across various departments to collect and verify data is crucial, along with generating reports and resolving errors to maintain data integrity.

To qualify for the System Analyst/DBA position at Raiffeisen Bank, you should have a strong understanding of SQL, including query writing. Previous experience with AWS is a plus, and familiarity with Oracle DB will enhance your application. Proficiency in English at a minimum B1/B2 level is also required, as communication is key in this role.

Raiffeisen Bank values the growth of its employees and offers comprehensive professional development opportunities for System Analysts/DBAs. With access to over 130 online training resources, Corporate training programs in IT Security, Data management, and more, you can continuously enhance your skills. Additionally, the bank supports career advancement by encouraging internal mobility across various functions.

As a System Analyst/DBA at Raiffeisen Bank, you'll enjoy competitive compensation, including a stable salary and annual bonuses based on personal contributions. The bank also offers a solid social benefits package, which includes 28 days of paid vacation, hybrid work arrangements, modern working conditions, and additional benefits like medical insurance, psychological consultations, and family support programs.

The work culture for System Analysts/DBAs at Raiffeisen Bank is characterized by collaboration, innovation, and support. You'll be part of a large community of curious and talented professionals who work together to solve challenges. With an emphasis on teamwork and shared growth, the organism encourages participation in professional communities, reading clubs, and sports clubs to foster a strong sense of belonging.

When answering this question, focus on specific projects where you utilized SQL. Talk about your familiarity with writing complex queries, optimizing them for performance, and how you've analyzed data integrity. Provide examples of how your work contributed to effective data management and decision-making.

Discuss your communication skills and methods for verifying data accuracy. Highlight your approach to collaboration across departments, the importance of following up, and any tools you use to ensure data is complete and accurate. Provide examples of challenges faced and how you resolved them.

Your response should include understanding execution plans and identifying bottlenecks. Discuss specific techniques you use, such as indexing, rewriting queries, or adding hints to improve performance. Providing a practical example of a query you optimized effectively is valuable.

Share your expertise with ETL tools and focus on any working experience with ODI. Discuss the steps you commonly take in an ETL process, your role in the data transformation, and any insights you've gained from monitoring and troubleshooting ETL jobs.

Detail your approach to error handling in job scenarios, including monitoring alerts, logging errors, and following up on issues. Explain the methods you use to debug and fix errors efficiently and provide examples from past experiences.

Share the context of the project, your role, the challenges you faced, and the eventual outcome. Highlight your analytical skills, teamwork, and how you navigated obstacles, showcasing your ability to drive results even in difficult situations.

Talk about any data visualization tools you have experience with, such as Tableau or Power BI. Explain how you use these tools to present data findings to stakeholders and facilitate better decision-making. Share specific instances where data visualization made an impact.

Highlight the relevance of strong analytical skills paired with effective communication. Mention that the ability to understand both the technical aspects and the business needs is vital for a System Analyst/DBA to succeed in their role. Emphasize the importance of continual learning and adaptation.

Provide examples of successful collaborations you've had within teams, particularly in the context of IT or data analysis. Discuss the role you played, how you built relationships among colleagues, and any specific outcomes that resulted from effective teamwork.

Discuss the importance of ongoing education in the fast-evolving IT landscape. Talk about subscribing to industry publications, participating in online courses, attending workshops, or being part of professional networks and communities where you can learn from peers.