Team Business Intelligence & Analytics
Our Responsibility
Our team converts raw data into valuable products for our external and internal customers. We combine the technical know-how for the connection of the various source systems with functional expertise in the different business areas of our customers. The aim is to fulfil diverse information needs of our customers from the divisions of air and sea freight, land transport, contract logistics, finance and controlling, sales and marketing. Accordingly, we work together with our customers in short feedback loops in order to deliver a value contribution based on the company data as quickly as possible. This is usually done either in the form of curated data packages as the basis for self-service analyses, or through complete interactive dashboards.
Our Team
Our team consists of 12 colleagues with very diverse backgrounds. We share a passion for converting data into value for the company. While we work together effectively in hybrid working environments, we still meet regularly in the office or for after-work events. We believe that these meetings are irreplaceable, just like honest and respectful interaction with each other, in which humor should not be forgotten. We usually work on larger projects in small teams in collaboration with our functional colleagues on the client side, who come from all divisions of the company.
Our Technologies, Tools & Methods
The permanent technical challenge of business intelligence is the constant increase in data volumes, combined with the need to utilize them as quickly as possible to create value. The development of cloud technologies in recent years has brought forth promising new providers, with whom we want to build a modern data platform that better meets our customers' needs in terms of speed, data quality and user-friendliness. On-premise, we currently work with Oracle databases, SAP Business Intelligence and Power BI. Our native language is of course SQL, although Python is also finding its place in the portfolio as a tool for data analysis and transformation.