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SUPPORT THE DATA ANALYTICS INITIATIVES FOCUSSED ON MARKETING MIX MODELLING
Youll be mining large datasets using tools such as R or Python to uncover patterns and insights. Youll also manage specific aspects of projects including preparing data and analyzing components of a comprehensive Marketing Mix Model. Additionally youll be supporting the development of tools and capabilities to improve the understanding extraction cleaning and integration of data from various systems.
ENSURE ACTIONABLE & DATADRIVEN INSIGHTS
Youll be creating impactful insightdriven presentations designed to empower markets and departments to make wellinformed decisions. Youll thrive in a dynamic international environment working collaboratively across different functions and teams. Youll also contribute to a variety of adhoc projects based on the organizations evolving needs.
GET EXPERTISE ACROSS THE ELEMENTS OF THE MARKETING MIX
In this role youll immerse yourself in every aspect of the modeling process gaining handson experience and building the skills needed to take charge of complete modeling projects in the future.
Qualifications :
University Masters degree such as Mathematics Econometrics Statistics Physics Computer Science Engineering etc.
Minimum of 2 years experience ideally with Data Science experience in the field of Retail /consumer goods data and Marketing Mix Modeling
Experience in using commercial statistical software packages e.g. R Python etc.
Experience in econometric modelling (systems and analysis)
Excellent analytical skills communication and active listening skills
Good understanding of marketing principles as well as Consumer/Shopping behavior
Additional Information :
Due to legal reasons we are obliged to disclose the minimum salary according to the collective agreement for this position which is EUR 2.30300 gross per month. However our attractive compensation package is based on marketoriented salaries and is therefore significantly above the stated minimum salary.
As an employer we value diversity and support people in developing their potential and strengths realizing their ideas and seizing opportunities. We believe passionately that employing a diverse workforce is central to our success. We welcome applications from all members of society irrespective of age skin colour religion gender sexual orientation or origin.
Remote Work :
No
Employment Type :
Fulltime
Full-time