"Senior Business Analyst Data Modeling Expert"
2 weken geleden
We are seeking a dedicated and experienced Senior Data Modeler / Business Analyst to join our Data Management department in Banking. As a Senior Data Modeler / Business Analyst, you will play a pivotal role in shaping our credit data model. This position requires a deep understanding of data modelling, business analysis, and the lending/credit domain to enhance our lending operations.
Your Job
- Develop and maintain comprehensive data models, mapping credit data elements and flows to support lending decisions and regulatory compliance.
- Work closely with business stakeholders to understand credit data requirements and translate them into tangible data deliveries.
Working Environment
We collaborate a lot and help each other with data challenges, we all are eager to learn and develop ourselves. We work hybrid, team members work at least one day per week from our headquarters in Amsterdam. Our team is responsible for data quality, data distribution and data analytics within our product unit - Financing Solutions. We are there for our clients at key moments in their lives, offering a fully digital banking experience while strengthening personal contact with our clients.
Your Profile
To be successful in this role, you will need to have:
- Collaborate with business stakeholders to gather and analyse credit data requirements, ensuring alignment with lending strategies.
- Create and maintain comprehensive data models, mapping credit data attributes and flows to support lending decisions and regulatory compliance.
- Lead the design and optimization of data structures and databases for credit data storage and retrieval.
- Work closely with Dev Ops engineers to provide requirements for the build of the data platform, implement and validate data models, ensuring data accuracy and availability.
- Closely collaborate with the product owner and team to translate requirements into Product Backlog Items
- Create and maintain documentation of data models, data lineage, and metadata for credit data.
Education and Experience
To be successful in this role, you will need to have a Bachelor's degree in Computer Science, Data Science, Finance, Econometrics or a related field. A Master's degree is preferred. You will also need to have proven experience in conceptual, logical and physical data modelling and business analysis, particularly within the banking sector and credit data domain. You must be proficient in data modelling tools and techniques, including experience with data modelling software (such as Erwin and Enterprise Architect). You must also have strong SQL skills for querying credit data. Familiarity with regulatory requirements related to credit data is a plus. You must have a general understanding of IT topics (through technical background or job experience).
Skills
To be successful in this role, you will need to have exceptional communication and interpersonal skills to collaborate effectively with cross-functional teams, especially within the context of credit data. You must have an analytical mindset to interpret complex credit data. You must have a detail-oriented approach to data modelling and analysis. You must be able to collaborate with cross-functional teams for credit data mapping and improvements. You must be adaptable to evolving credit data requirements and industry changes. You must have ethical judgment and responsibility when handling sensitive credit data. You must be fluent in English, both verbal and written, and open to cultural differences.
We Offer
We offer a competitive salary, based on 36 hour work week. Grading in salary scale 10. We also offer a personal development budget of € 1,000 per year. We offer freedom to get the most out of your talents, flexible working and room for development. We offer an annual public transport season ticket, with which you can travel unlimited within the Netherlands. We offer a great pension scheme at the best pension fund of the Netherlands (Pensioen Pro Award 2022).
Interested?
Apply for this role. For more information contact, Ernestine Umutoni, Head of Credit Data Distribution. Looking forward to meeting you
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