In order to strengthen our Global Brand Marketing Team we are looking for an experienced Marketing Data Analytics Manager (m/f). In this role, you are in charge of setting up modelling capabilities that cover all marketing data from all parts of the Red Bull Mix. The position plays a key part in integrating data and turning insights into actions, starting with spearheading the future statistical modelling agenda, developing statistical modelling capabilities in-house and identifying areas of opportunity.
Develop Red Bull’s capabilities to understand, extract, clean and integrate data from a range of systems
Support all stakeholder model building needs
Work with market research agencies, the internal Corporate Data Team and Finance to build predictive modeling data infrastructure
Present and prove model value through testing and statistical validation
Introduce compelling data visualizations and interactive dashboards that allow right decision-making in a timely manner
Take marketing modelling currently performed by outside agencies in-house by building systems and capabilities to perform this work
Research new techniques and best practices within the industry
Mine large datasets (in SQL / SAS) to draw patterns
Work with IT on identifying the desired software & agency to introduce new modeling technologies and build this capability in-house
Work with Corporate BI teams on enterprise data as well as the different marketing teams to build an integrated picture of the Red Bull Business to foster right decision-making
Drive new projects with multiple stakeholders, unclear requirements and incomplete data
Minimum of 5 years’ experience in marketing/media mix modeling (MMM), preferably in the field of FMCG/ retail
Good understanding of marketing principles, as well as shopping behavior
Highly proficient in Microsoft Office
Experience in using commercial statistical software packages, e.g. SAS, SPSS, R or Python
Experience in econometric modelling (systems and analysis)
Ability to draw the insights from multiple complex data sources
Excellent analytical skills (regression & correlation analysis)
Excellent communication and active listening skills
Innovative, solution-oriented mindset
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