In this role, you will focus on data management, data requirements, data definition & mapping, data onboarding and data modelling for business-related background topics. You will participate in a squad as a Business Analyst within DDT. As an expert, you deliver the necessary knowledge and skills to make standard and best products/services for our data consumers. Besides that, you continuously deepen and broaden your knowledge and skills in your area of expertise within your chapter. You will be actively involved in the maintenance, development and realization of current & new requirements and services. As an expert, you deliver the necessary knowledge and skills to support deliveries towards stakeholders, performing reconciliation, UAT and operational requests necessary for data delivery. Besides that, you continuously deepen and broaden your Data Quality and Data modeling knowledge and skills in your area of expertise.
Your activities will be in the area of: Be involved in Change & Run bank's data management activities; Collect & write the detailed business data requirements; Configure business rules and build reports; Read and understand regulatory requirements; Support the Data Modelers in creating conceptual data models; Deliver and maintain Global Business Terms, Conceptual/Logical and Physical Data Models and additional documentation needed for shipping the product towards the Data Lakes and for clarifying the working of functionality for end consumers; Create and test functional and technical mappings from source to target and support the usage of data models in ING units; Perform data mapping and validation (SQL); Execute acceptance and other testing; Report on the progress and communicate the dependencies and impediments to stakeholders; Contribute to existing principles, standards, guidelines and way of working to continuously improve them; Support the development and configuration of the solution. What we are looking for: We are looking for an enthusiastic and energetic professional with a passion for data management in a banking context. We are looking for an experienced analyst who is willing to work hands-on with data management. You are energized by working on concrete and tangible results in a complex and continuously changing environment. You know exactly how to empathize with the needs of your stakeholders and translate this into standard and innovative products. You have a clear vision on the area of expertise of the squad, including the knowledge of Finance, assets and tooling used. You have a strong drive to keep your expertise up to date and have the ambition to continuously improve yourself on a personal and professional level. You are very analytical and take decisions based on data and facts. You are a strong communicator and can present your work in a clear manner. Required Knowledge: Sourcing, classifying & onboarding data for different business areas. Knowledge of and experience within data management and analyzing large data sets and data quality. Hands-on proficient level of experience on SQL and MS Excel. Understanding of Data Modelling, being able to interpret logical and conceptual data models and able to explain these models in a natural language. Knowledge of and experience with Change delivery in an agile environment (impact analysis, configuration, testing). Experience in Regression and User Acceptance testing. Experience in building and maintaining data requirements regarding Statutory and Regulatory Reporting. Required Skills: Hands-on proficient level experience on SQL and with MS Excel. Ability of thorough understanding of logical Data Models and Modelling. Ability to (re)design and improve financial reporting business processes. Retail Banking products knowledge from accounting and financial reporting perspective. Working knowledge on Regulatory Reporting – preferably FINREP. Experience with functional UAT testing. Strong requirements management skills. Excellent Communication skills, written communication and power to convince. Ability to work under tight deadlines. Result-driven and structured worker who is focused on the delivery and eager to work with details on Data quality and reporting. Strong team player, self-organizing and proactive with ability to connect, having positive growth mind-set, flexibility, focused on cooperation and sharing knowledge.
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