As part of one of the internationally staffed agile teams of the Private Bank One Data Platform, you are part of the "TDI PB Germany Enterprise & Data" division. The focus here is on the development, design, and provision of different solutions in the field of data warehousing, reporting and analytics for the Private Bank to ensure that necessary data is provided for operational and analytical purposes.

The PB One Data Platform is the new strategic data platform of the Private Bank and uses the Google Cloud Platform as the basis. With Google as a close partner, we are following Deutsche Bank’s cloud strategy with the aim of transferring or rebuilding a significant share of today’s on-prem applications to the Google Cloud Platform.

Your tasks:

For improving the PB One Data Platform, we are looking for an experienced Business Functional Analyst (BFA) with extensive knowledge and experience in the field of technical requirements analysis in the field of big data processes and technologies. This person is supposed to take over the role of the product winner for one of our teams.

• Evaluating and develop data design patterns and data workflows and data models according to the business requirements and control environment
• Accompany all levels of agile planning (product vision, roadmap, release planning, sprint planning, Daily Scrum)
• Technical and functional analysis within the PB Data Platform Team and interface to IT and business areas
• Analysis of complex data-driven problems and development of solutions aligned to control and governance standards
• Documentation and verification of systems, processes and requirements in Confluence and Jira
• Support for maintaining and prioritizing the product backlogs, as well as testing the data processes within the PB Data Platform
• Evaluation and introduction of innovative technologies and concepts
• Functional review and acceptance of the developed features in the Scrum team

Your profile:

• Higher education in a scientific or technical field with a clear IT focus, as well as comparable training
• At least 5 years experience in the field of data-driven digital solutions focusing on data platforms and data warehousing
• Provable knowledge and experience in the field of big data and data warehousing and data modeling
• Exceptionally good knowledge of the agile working methods (Scrum, Kanban)
• Experience in large project or transformation projects in a big financial enterprise would be beneficial
• Experience in cloud environments would be beneficial
• We require social and intercultural competence for the successful handling of all internal and external and international stakeholders, as well as good analytical, conceptual thinking, analytical skills, pronounced autonomy and initiative
• Language skills English: negotiation-safe and written

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