Working Student Data & Analytics - Advertising & Consumer Research

You support various research projects on advertising effectiveness and media usage with your expertise in data, statistics, and analysis.

You support various research projects on advertising effectiveness and media usage through statistical analyses: driver analyses, regression analyses, forecasting, cluster analyses. You not only perform the analyses but also advise, based on your expertise, which methods and analyses are suitable for specific questions.

You are currently studying mathematics, statistics, data science, computer science, or a comparable subject and are ideally already in an advanced semester. With your ability to understand complex data structures, you can solve data-based problems in a solution-oriented manner. You have comprehensive statistical knowledge, experience with regression analyses and forecasting, and are proficient in the R programming language. Ideally, you also have initial experience with marketing mix modeling (MMM) and programming skills in Python. Furthermore, you have a strong interest in social science issues, particularly around media and advertising.

Look forward to an open corporate culture, on a first-name basis and without a dress code, in the dynamic environment of the media industry. Depending on the tasks you take on in your team, there is the possibility to work remotely in agreement with your manager. Work at modern workplaces and use our diverse campus services such as a canteen with fair prices, various coffee bars, or our massage service. We promote your AI skills through internal training and our vibrant AI community. Because: AI is not a future topic for us, but shapes our daily work as an integral part of the value chain – from content creation to distribution. Benefit from a heavily discounted membership at EGYM Wellpass, a free Joyn Plus+ subscription, and numerous other special discounts from our partners. To help you meet new people outside your area and gain insight into other fields of activity, we offer an extensive intern and working student network. Working hours: typically 20h/week, which can be distributed flexibly by arrangement. Duration: dependent on enrollment – at least 6 months, maximum 2 years. Gross monthly remuneration at 20h/week: €1,300.