Senior Data Modeler & Analyst- Global KYC @ ING Hubs Romania
ING
- București
- Permanent
- Full-time
- Execute ING’s Esperanto process based on an Agile way of working and alignment with the other chapters and stakeholders;
- Based on the input of business representatives refine requirements and translate them into business terms and conceptual models.
- Deliver according to agreed principles and quality criteria: ING Esperanto business terms, Conceptual Data Models, data requirements, Logical- and Physical Data Models, requirements mapping and documentation.
- Supporting, coaching and training of colleagues in ING on ING Esperanto;
- Work in close alignment with the DevOps team, final data consumer and countries on the solution development, testing and release
- Report on the process and communication to stakeholders.
- Maintaining and supporting the usage of the data models in the ING organization;
- Maintaining business terms and definitions, including data quality requirements and additional meta data;
- Set up and maintain design principles, standards and guidelines for Esperanto components and way of working;
- Data analysis and issue investigation that implies medium to complex data aggregation and data processing.
- Previous banking experience: working with financial products and/or regulatory requirements (3 years plus)
- Bachelor’s degree in Computer Science or related field;
- Understanding of Data Management and/or IT architecture areas;
- Strong Knowledge of SQL and database concepts;
- Understanding of Entity - Relationship Data Modelling / Dimensional Data Modelling, being able to interpret logical and conceptual data models and able to explain these models in a natural language;
- Experience with data modelling methods and tools (like Power Designer, InfoSphere Data Architect);
- Data Warehousing / Data Modelling / Database Design;
- Excellent written and verbal communication English skills.
- Knowledge with the IBM’s BDW models;
- Experience as Senior Database Developer, Solution Designer or Data Architect (architecture, planning & roadmap, solution definition, solution follow-up & guidance);
- Knowledge of and a vision on data management and affinity with IT.