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Katja Ingenhaag, Senior Consultant (Digital)

Katja Ingenhaag

"The best aspect of my work is our team. We have developed really well over the past three years – scaling up to a more global team but not losing the "start-up" atmosphere."

Von Katja Ingenhaag

 

 

Why did you choose Roland Berger as your employer?

Both consulting and many other industries seemed an option for me – I just knew that I wanted to work with data. At some point during my job search, I stumbled over a job vacancy at Roland Berger – offering a position as an analytics consultant that combines the work of a strategy consultant with data. This description immediately appealed to me, so I applied. Just a few days after having sent my application, I was approached by the head of our Analytics team, who, back then, was also just starting to build up the team at Roland Berger. The aspect of building up the team combined with the interesting job description sounded great.

What does the work of a senior analytics consultant look like?

The work of an analytics consultant at Roland Berger is quite diverse. I have been working across the entire bandwidth, from rather strategic projects up to very technical projects. In data-driven strategy projects, our objective is to derive a strategy for a specific topic, e.g. an optimized product strategy. We then look not only at qualitative insights (e.g. a competition analysis, expert interviews) but also take a close look at historical data – finding reliable insights from which to derive strategic decisions. A bit like finding a proof for a mathematical theorem.

What makes work at Roland Berger unique?

For me, the best aspect of my work is our team. We have developed really well over the past three years – scaling up to a more global team but not losing the "start-up" atmosphere. We have outstanding team spirit and a very diverse team, which means we can learn from each other every day. The second point I enjoy most is the variety of work I do. The combination of technical working – finding fascinating insights within a great amount of data – combined with deriving strategic decisions based on these data insights is both challenging and fun.