Why G&N?
With 22 locations, numerous diverse systems, and ever-increasing data volumes, the G&N Group is a dynamic organization. Our Power BI landscape is already deployed group-wide, providing crucial analyses for our locations, departments, and management. Simultaneously, we continue to grow, both organically and through the acquisition of new companies and locations. This growth in data volumes and the demands placed on our systems also increase. At the same time, we aim to leverage automation and AI even more effectively to further develop our business processes. This is where you come in.
We are looking for someone who doesn't just create reports, but wants to understand how our systems and data interact and how we can get even more out of them.
You have the opportunity to actively shape our group-wide data and Power BI landscape, further develop existing structures, and build new solutions. You will also explore where AI applications can create real added value in our business processes and support their implementation.
This is what you can expect
Important note regarding the general conditions
This position is based in Germany and requires regular attendance at our German locations as well as the travel activity mentioned in the job description.
This position requires a valid work permit for employment in Germany. We cannot offer visa or relocation assistance for this position.
Excellent German language skills, both spoken and written (at least C1 level), are essential due to the close collaboration with our German-speaking departments and locations.
As a Data & Power BI Specialist (m/f/d), you will be the central point of contact for all our data, reporting, and BI topics. You will combine technical expertise with a strong understanding of our business processes and further develop our group-wide data landscape in collaboration with the specialist departments.
You don't need to be an expert in every single technology. What's crucial for us is that you genuinely want to understand data and its interrelationships, can delve deeply into the technical aspects, and are eager to actively shape our data landscape.
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