Data Modeler

Your skills

We are looking for a candidate with proven experience in business and data analysis, preferably within the banking sector and credit data domain. You can assess and validate data requirements, identify data gaps, and translate business needs into effective data solutions.Key skills include:

• Strong SQL and data analysis capabilities.
• Experience with conceptual, logical, and physical data modeling.
• Knowledge of data testing practices, including unit, regression, and acceptance testing.
• General understanding of IT delivery processes, release management, and tools such as Databricks.
• Familiarity with JSON and data mapping is an advantage.
• Ability to create and maintain mappings, build plans, and support ongoing data product improvements.
• Strong stakeholder management and communication skills, with experience working across business, technology, and senior management.
• Analytical, detail-oriented, and proactive mindset, with the ability to translate complex requirements into practical solutions.
• Ownership mentality and the ability to manage multiple change initiatives end-to-end in a dynamic environment.

Additional Banking & Collateral Knowledge
To be successful in this role, we are specifically looking for candidates who bring:  

• Solid understanding of banking products, lending processes, and credit risk management. 
• Knowledge of collateral concepts, including collateral registration, valuation, monitoring, and reporting processes. 
• Understanding of how collateral data supports regulatory reporting, risk management, capital optimization, and lending decisions. 
• Experience working in complex banking environments with multiple stakeholders across business and technology teams. 
• Familiarity with regulatory-driven data initiatives within the banking sector is considered a strong advantage. 
• Understanding of how collateral data supports regulatory reporting, risk management, capital optimization, and lending decisions. 
• Experience working in complex banking environments with multiple stakeholders across business and technology teams. 
• Familiarity with regulatory-driven data initiatives within the banking sector is considered a strong advantage. 

What success looks like
As a analist for the Collateral Data Product, you should be able to: 

• Be flexible in communication and shift easily between topics. Handling multiple stakeholders at the same time is no problem for you. Expect to own approximately three topics simultaneously. 
• Be strong in SQL querying. Simple queries, selecting, ordering, joining, grouping, etc. are no problem for you. You'll spend about 2–4 hours analyzing data per day, contributing to both problem solving and development of new data products. 
• Read or decipher Python code to support bug fixing and solution analysis. 
• Test your ETL outcomes and clearly explain test results, including supporting evidence for audits and control processes. 
• Contribute actively to thought processes that improve the product, data quality, and ways of working. 

Our offer

• A competitive salary of €7.800 gross per month, based on a 36-hour work week (starting salary depends on your knowledge and work experience);
• 25 vacation days per year, based on a 40-hour work week;
• 8.33% holiday allowance (paid in May);
• Pension plan (pension accrual starts from your first day of employment);
• Hybrid working opportunities;
• A dedicated Happy Manager to support your personal and professional development;
• Access to a wide range of training courses and development programs through The Ministry Of Compliance and Projective Academy;
• Referral bonus opportunity (€500 for every referred professional who starts an assignment);
• Travel allowance: choose between mileage reimbursement or a public transport pass;
• Work-from-home allowance and a budget to set up your home office.

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