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Nielsen is a leading global information & measurement company and provides market research, insights & data about what people watch & listen to. Our products are backed by powerful analytical methods, extensive research and data to enhance and enrich our clients’ marketing tools and processes.
The combination of software and analytics enables our clients to make more informed strategic and tactical business decisions, ultimately leading to greater ROI from marketing budgets. We have product users around the globe, and with our tools we support the decisions of large advertisers, media owners and media agencies, both on a tactical and strategic level.
If you join us, you will work in an exciting media and marketing world, which combines creativity, mathematics, econometrics and marketing analytics to maximum effect. The Nielsen office in Rotterdam has teams in various disciplines, from data science and engineering to software development. We are a highly motivated and creative group of people that works hard to finish the job. An open atmosphere, mutual respect, time for social contacts and time for fun are important ingredients within our company.
Sectors: Consulting, Data Science & Marketing
Locations in NL: 4
Locations outside NL: 100
Male-female ratio: 60-40 %
Number of employees (in Holland): 550
Number of employees (outside Holland): 16,000
Number of starting positions per year: 7
Number of internship positions per year: 5
Number of working students per year: 5
Average age: 30
One of our clients is a large music streaming platform, that recently started to increase their presence in the podcasting world. To promote one of their new podcasts about a famous celebrity, they launched a big media campaign across a wide range of platforms in the US, and while they can see how many people listened to the podcasts, they don’t have insights on how many people were actually influenced by their campaign. This is where you come in! You will get access to a virtual dashboard that contains results of several modeling iterations that explain brand health variables. Together with your team, you will inspect these models to find out which one is the best, after which you will get to present your reasoning, concerns & suggestions on your chosen model to the client’s data scientists. In addition, you will get the chance to pitch your findings about the campaign’s performance to the client’s board, along with actionable recommendations on how they can further drive brand affinity & podcast awareness.