Marketing Analytics Specialist

Gaming has become a major focus for Red Bull. With our growing involvement and dedication, we are a leading brand and are perceived as the beverage for gamers.

We are developing collaborations with game developers and publishers around the world, unlocking opportunities for in-game integration, co-marketing activations, event organization or support, access to IP or content production. We also partner with some of the biggest esports events in the world. The Gaming and Esports Manager will lead all our relationships with the video game industry.

Ihre Aufgaben

You'll support analytics capabilities and research new techniques using existing data and other methodologies. This is to strengthen analytics on distribution and assortment efficiency as well as on pricing and promotions effectiveness including regression, elasticity modelling and conjoint studies.

• SUPPORT DATA MODELLING INITIATIVES In this role, you will develop Red Bull's capabilities to understand, extract, clean and analyse data from a range of systems and data sources. You will be part of Marketing Mix Modelling projects with multiple stakeholders & markets involved, which includes navigating through challenging requirements (such as incomplete data) and ensuring the projects are delivered in a timely manner and documented effectively.

• TIMELY & ACCURATE REPORTING Part of the role requires accurate and timely reporting on business intelligence, looking at category development, share performance, competition development, new product monitoring & assortment/packaging analysis.

• IMPACTFUL PRESENTATIONS The key to the role is delivering actionable insights to the Headquarters, regional and local stakeholders. To reach this goal, you'll work with data and systems as well as the different marketing teams to build an integrated picture of the business to give relevant, accurate and timely recommendations.

Ihr Profil

• University degree (ideally Masters) such as Business, Economics, Mathematics, Market Research, etc.

• Fluency in English, additional languages a plus

• 2+ years' professional experience

• Strong analytical skills using internal and external data sources, especially experience in working with sales data from Nielsen, IRI or equivalent

• Market research experience is a plus

• Additionally, experience in econometric modelling and time series analysis, using commercial statistical software such as R/Python, is a plus but not required

• Ability to draw the insights from multiple complex data sources to draw patterns

• Ability to communicate effectively with stakeholders at different levels of the organization, across functions and from different cultural backgrounds