- Data Modelling: perform Business Data Modelling (create business-oriented views of data) by designing and maintaining conceptual and logical data models for different logical data domains, and further developing and implementing modelling principles and guidelines;
- Requirements Gathering: conduct and lead discussions with subject matter experts, data stewards, data models users and other stakeholders to understand and challenge the scope- and the content of the requirements. Translate these requirements into comprehensive data models that accurately represent the bank's business;
- Data Governance: implement data governance policies and standards to ensure data quality, consistency, and compliance with regulatory requirements. (i.e identification of critical data elements).
- Bachelor's/Master's degree in a relevant field (i.e. Information science, Finance, Business Administration). Relevant certifications (i.e data modeling techniques) would be a plus;
- Minimum of 5 years of experience in data modelling, with a specific focus on data within the banking or financial services industry with a proven track record of successfully delivering conceptual and logical data models aligned with business requirements;
- Proficiency in conceptual and logical data modeling techniques. Strong understanding of customer data entities, relationships, and attributes in the banking context;
- Advanced business analysis skills;
- Familiarity with data governance practices, data quality management, and regulatory requirements related to data management in the banking industry;
- Excellent analytical and problem-solving skills with a keen attention to detail. Ability to analyse complex business requirements and translate them into effective data models;
- Strong collaboration and interpersonal skills. Ability to effectively communicate with stakeholders, including business teams and technical specialists, to ensure alignment and understanding of data models;
- Ability to work in a fast-paced and dynamic environment, managing multiple priorities and deadlines effectively;
- Able to work under pressure in a focused and precise manner;
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Senior Business Data Modeler - Amsterdam, Nederland - Knab
Beschrijving
Knab was founded in 2 because we wanted to do things differently. Simpler, smarter and more advantageous for our customers. Because we believe we can help everyone maximize their financial affairs. 'Feel at ease when it comes to your finances. Every day.' By combining smart technical solutions with a healthy dose of human intelligence, we create financial services that really meet your needs. Add to that some of the sublime personal service from our employees and you end up with something that's truly unique to the world of finance
In a nutshell
We are looking for a Business Data Modeler with business domain knowledge and experience in conceptual, logical data modeling and a passion for driving customer-centric data initiatives in the banking industry. Data modeling is a critical data management capability that helps ensure that our data is well-designed, unambiguous and effective in representing and supporting our business needs.
The Team
The Expert Center Data and Analytics department consists of data professionals with a big heart for the business value of Data, covering the following capabilities: Data Science, Data Engineering, Data Warehousing, Data Quality Management, Data Architecture, Data Modeling & Data Governance. The department works with all functions of Knab. The team consists of all communicative 'beta nerds' who get energized by complex data challenges that solve business problems and make a difference for our customers. You will report to our Chief Data and Analytics Officer, while working closely with multiple stakeholders from various teams across Knab to help us achieve our common objectives.
Your main responsibilities:
Your profile There is no blueprint for being successful in this role, but we have the following profile in mind:
We don't collaborate with third parties to fulfill this role.
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