Your profile
We need you as a business data modeler to help us grow and mature as a data driven organization that continuously delivers value. You have a proven business and/or marketing acumen and are able to translate business requirements into deliverables and set priorities accordingly. You are naturally curious and eager to learn new technologies and tools. In addition, you are result driven and have an agile approach. You are up to date with the latest developments in data. The job requires excellent analytical skills and an eye for detail. Considering the multi-disciplinary teams, being a true team-player is essential. You are structured, can inspire others to be likewise and have a sense of humor. We look for people who like to work on the data fundament and provide trust in our data.
Required qualifications:
• Able to effectively communicate (in written and spoken English) about your analysis and requirements;
• Bachelor’s degree or higher from an accredited university or college in computer science, Data or Business Analytics;
• Minimum of two years’ experience in a financial institute, or analytical online marketing profession, or a corporate setting;
• Strong analytic skills and affinity with data analytics, (pre)processing, and data handling;
• Knowledge of and experience in data modelling;
• Knowledge of and experience of structured and unstructured data;
• Knowledge of and experience with SQL;
• Experience with Marketing Automation, campaign management (e.g. Selligent, Adobe, SAS) and/or Self-Service Business Intelligence and/ or BI tooling (e.g. Power BI, DataBricks, Tableau);
• Pro-active attitude and an excellent team player.
The following knowledge and /or experience is considered as a plus for this position
• Knowledge of and experience with batch, streaming and API;
• Experience with data management and analytics in a cloud environment;
• Experience with (Azure SQL Database, Azure SQL Data warehouse, Azure Datafactory);
• Knowledge of and experience with data management, data governance, DQ, meta data preferably at a financial institute and/or a digital environment;
• Experience in an international setting and used to working with different cultures;
• Experience with PySpark, Python;
• Experience with Erwin.