RESPONSIBILITIES
- 3+ years of experience in an analytical role, preferably within the Streaming Media or Digital Marketing industries; Bachelor’s or Master’s degree in Data Analytics, Statistics, Computer Science, Engineering, Business, Operations Research, or a related field.
- Sharp analytical thinking skills, with a structured and methodical approach to problem-solving, and a proactive, results-driven mindset.
- Strong ability to query large, unstructured data using SQL; experience with at least one statistical programming language (e.g., Python, R) and modern BI tools (e.g., Tableau, Power BI, Looker).
- Excellent communication skills, both verbal and written, with the ability to translate business questions into technical requirements.
- Fluent in English; additional languages are a plus; willingness to learn new tools and skills is essential.
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RESPONSIBILITIES
- University Degree in Economics, Business Administration or similar or equal practical experience
- Excellent English skills, German is an advantage
- Work experience preferably within a FMCG environment (ideally in the field of Business or IT)
- Proven project management skills
- High proficiency in Microsoft Office
- Problem solver with can do attitude, who can transform ideas into practical and workable solutions
- Excellent attention to detail, process driven and structured
- Excellent organisation, presentation, and communication skills to present findings in a clear and compelling manner
- Learner, self-motivated and able to work both independently and as part of a team
- Experience with data analysis tools, BI tools and other statistical software or coding languages is an advantage (such as SAP Analytics Cloud, Power BI, Tableau, Trifacta, R, Python, SQL…)
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RESPONSIBILITIES
- Minimum of 3 years of experience in coordinating/managing cross-functional data related projects in Supply Chain, Logistics and/or Operations management or Controlling.
- Profound business knowledge in reporting and dashboarding applications - ideally SAP BI, SAP Analytics Cloud. End-user knowledge of the following source applications is beneficial but not a pre-requisite – SAP ERP (MM/SD), SAP IBP, SAP TM.
- Proficiency in Microsoft Excel/PowerPoint.
- Data analytics expertise, strong ability to understand data elements, sources, and relationships.
- High attention to detail and excellent organizational skills.
- The capability to handle multiple projects and stakeholders simultaneously.
- Strong communication and presentation skills for internal and external stakeholders.
- Team player, self-motivated, goal-oriented, flexible, and able to work under pressure in a fast-paced environment.
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RESPONSIBILITIES
- Bachelors degree
- English (any other languages advantage)
- Digital mindset with interest in new trends
- Good organisational and planning skills
- Excellent written and verbal communication
- Great understanding of complex departmental structures
- Networking skills
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RESPONSIBILITIES
- 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
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RESPONSIBILITIES
- A Bachelor's degree in Business Administration, Economics, Finance, or a related field. Advanced degrees are welcome
- Fluent in English, German is a plus
- 3+ years of FMCG/consumer goods experience, ideally in Revenue Management, Key Account Management, Category Management, or Insights
- Exposure and understanding of commercial topics, the Profit & Loss, and key drivers of business targets
- Proven experience in working with large data sets in a commercial context and converting these into clear and concise insights and recommendations
- IT affinity to further drive and develop revenue management tools within Red Bull IT landscape Excellent Microsoft Excel and PowerPoint skills
- Strong communication and presentation skills
- Project management affinity with the ability to juggle multiple initiatives, meet deadlines, and deliver exceptional results
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