Dashmote is an AI technology scale-up headquartered in Amsterdam, The Netherlands. With the goal of bridging the gap between images and data, we are working to bring AI-based solutions to marketers at clients like Heineken, Unilever, Philips, L’Oreal, and Coca-Cola. We add value in areas such as Location Analysis, Trends Analysis, and Marketing Intelligence.
Doing so on a global level, our company today has offices in Amsterdam, Shanghai, Vienna, and New York. Over the past few years, our teams have solved a wide variety of cases, such as analyzing beer drinking and hairstyle trends by utilizing our Visual Recognition Tools, as well as identifying prospective leads by generating intelligence dashboards derived from Visual Content Analysis.
As our Data Analysis intern, you will help our team to ‘connect the dots’ - that is, translating raw data into actionable insights for a variety of audiences. You are not afraid to get your hands dirty, and continuously bring the best-in-class analytics to our clients and stakeholders. You will be working closely with all teams (Data Science, Marketing and Business Development) for different kinds of projects.
More specifically, your key responsibilities will include:
Filter, organise, and manipulate large volumes of raw data from various sources using a variety of tools and data analysis techniques.
Develop and visualise complex data analysis in a clear understandable manner to a non-technical audience in the form of dashboards, specifically using PowerBI.
Drive research and innovation within the internal team with the objective of optimizing operational processes and marketing campaign effectiveness.
Working towards a degree in Business, Statistics, Marketing or another related field, or recently graduated
A big affinity for data and numbers, and a curious mind to discover and derive insights
You already have some experience with data visualisation tools, such as PowerBI or Tableau
You are proactive, analytical and have a strong eye for details
Fluency in English, written and spoken
What's in it for you?