Internship Marketing Data Analystics at the Red Bull HQ in Fuschl am See

As Marketing Data Analytics Intern of the International Brand Marketing Team you’ll support the modelling capabilities that cover all marketing data from all parts of the Red Bull Marketing mix.

38 Stunden pro Woche

What are you going to do:

• You’ll play a key part in integrating data and turning insights into actions, focussed on Marketing Mix Modelling and bringing advanced statistical modelling capabilities in-house.
• We are looking for a motivated talent who can stay with us for a time frame of

4 months

.

What we offer:

• The chance for the best time of your life
• Development of significant marketing skills
• The opportunity to build relationships for your future career - maybe even at Red Bull

What we ask:

• Enrolled in a state-recognized university in master
• Enrolled in a state-recognized university in master University Master’s degree, such as Mathematics, Econometrics, Statistics, Physics, Computer Science, Engineering etc.
• Ideally first experience, including Data Science experience in the field of Retail / consumer goods data and Marketing Mix Modeling
• Highly proficient in Microsoft Office
• Experience in using either commercial statistical software packages, e.g. R, SAS, SPSS, Python
• Good understanding of marketing principles
• Ability to draw the insights from multiple complex data sources
• Experience in econometric modelling (systems and analysis)
• Excellent analytical skills (regression & correlation analysis)
• Excellent communication and active listening skills
• Innovative, solution-oriented mindset
• Fluent in English

Apply

Are you the perfect candidate? Click the button 'apply now' and we'll contact you as soon as possible!

Extra information

Status
Inaktiv
Education Level
Hochschule/Universität
Location
Bundesweit
Working hours per week
38
Responsible for
Assistance in building marketing data science
Profession type
Marketing / Kommunikation / PR / Werbung, IT / Software-Entwicklung / Programmierung
Full UK/EU driving license preferred
No
Car Preferred
No
Cover Letter Required
Yes
Languages
Englisch
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Auf einen Blick

Bundesweit
38 Arbeitsstunden pro Woche
Hochschule/Universität

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