Senior Business Analyst Data Modeling

4 weken geleden

Amsterdam, Nederland ABN AMRO Bank Voltijd

Your job

Develop and maintain comprehensive data models, mapping credit data elements and flows to support lending decisions and regulatory compliance. You will also work closely with business stakeholders to understand credit data requirements and translate them into tangible data deliveries. 

Working environment

The data sourcing and distribution team is a part of a broader department named Credit & Collateral Data Management and Strategy which is responsible for data quality, data distribution and data analytics within Financing Solutions. This team consists of a data analysts and a data engineering team that work towards the delivery of the Credits Data Domain Store application. Together we work on data projects projects and solutions that benefit a variety of credit domain data consumers. 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. 

Your profile

• 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 DevOps 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.
• Serve as a subject matter expert in credit data sourcing, integration, distribution, and utilization within the business lending context.

Education and experience
• Bachelor's degree in Computer Science, Data Science, Finance, Econometrics or a related field. Master's degree is preferred. 
• Proven experience in conceptual, logical and physical data modelling and business analysis, particularly within the banking sector and credit data domain. 
• Proficiency in data modelling tools and techniques, including experience with data modelling software (such as Erwin and Enterprise Architect). 
• Strong SQL skills for querying credit data.
• Familiarity with regulatory requirements related to credit data is a plus.
• General understanding of IT topics (through technical background or job experience).

Skills
• Exceptional communication and interpersonal skills to collaborate effectively with cross-functional teams, especially within the context of credit data.
• Analytical mindset to interpret complex credit data. 
• Detail-oriented approach to data modelling and analysis.
• Collaboration with cross-functional teams for credit data mapping and improvements.
• Adaptability to evolving credit data requirements and industry changes.
• Ethical judgment and responsibility when handling sensitive credit data.
• Fluent in English, both verbal and written, and open to cultural differences.


The successful candidate should also have the ability to:
• Enjoy solving complex data puzzles
• Learn and willing to help each other
• Motivate others, spread knowledge 

We are offering

• Competitive salary, based on 36 hour work week. Grading in salary scale 10 
• A personal development budget of € 1,000 per year
• Freedom to get the most out of your talents, flexible working and room for development
• An annual public transport season ticket, with which you can travel unlimited within the Netherlands
• A great pension scheme at the best pension fund of the Netherlands (Pensioen Pro Award 2022)

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