About dentsu
Dentsu is the most integrated media company in the world that provides various advertising services for top clients. In our global network we work with 46.000 passionate colleagues, in 143 markets. Locally, dentsu Benelux is based in Amsterdam, Rotterdam and Brussels. We are a group of a bit more than 700 people that together are striving to be a force for good — for our people, for our clients, for the industry and for our society.
Who are we?
We are a dynamic finance team divided into 3 pillars. Commercial Finance, Financial Control and Operational Finance. We celebrate successes together, but also share our challenges with each other. We value transparency, being able to be yourself, helping each other, and above all we are a committed team that has the best interests of each other at heart. Together we help our stakeholders gain financial insights to make decisions, we are constantly working on new projects and we can do this for the largest national and international customers.
Role purpose
We're looking for a BI Controller who bring fresh ideas from all areas, including information retrieval, master data management, analytics and data quality and stewardship. We need our BI Controller to be versatile, to display leadership qualities and to be enthusiastic in taking on new problems. As a key member of a versatile team, you design, test, deploy and maintain financial and business data solutions.
Your responsibilities
- Design, implement, and support a platform providing secured access to large datasets;
- Day to day development activities aligned to one of the three key areas Master of Data Management, Enterprise Integration and API management;
- Engaging with key stakeholders to understand and define data requirements;
- Understand and document data structure and business rules within sources systems;
- Focus on identifying data issues using data quality and profiling tools as appropriate;
- Contribute to the analysis, design, development and delivery of data migration, data integration and MDM projects by performing complex data mapping and data conversion activities using tools where available;
- Collaborate with other teams in Data Engineering and other Technology functions (e.g. DevOps, Security) to deliver secure, reliable, robust and scalable data solutions;
- Troubleshoot and take ownership of issues in our development, test and production environments. Including performance optimization and continuous tuning;
- Continuous learning and evaluation of the latest development methods, tools, and technologies;
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.