RESPONSIBILITIES
- At least 5 years of professional experience with Digital Workplace services or a similar role.
- Experience in managing budgets related to workplace technology, including cost planning, vendor negotiations, and expense tracking.
- ITIL 4.0 Foundation is a plus.
- Strong Communication & Collaboration – Ability to communicate effectively with users, stakeholders, and vendors in a clear and approachable manner.
- Open-Minded & Adaptable – Willingness to embrace new ideas, adapt to change, and work in a dynamic environment.
- Performance & Result-Oriented – Focused on achieving measurable outcomes and continuously improving workplace solutions.
- Proactive & Growth Mindset – Takes initiative, seeks continuous improvement, and drives innovation.
- Process-Oriented & Structured – Works in a methodical and organized way, ensuring efficiency in digital workplace management.
- Analytical & Strategic Thinking – Ability to recognize complex relationships, break them down into simple solutions, and make data-driven decisions.
- Solution-Oriented – Focuses on resolving challenges efficiently while balancing user needs and business objectives.
- University degree in Computer Science, Information Technology, or an equivalent IT technology education.
- Flexible & Resilient – Able to adapt to shifting priorities and manage multiple tasks effectively.
- Fluent in English, German is considered a plus.
- Passionate About Media & Technology – Enthusiastic about the Red Bull Media House environment and staying up to date with digital workplace trends.
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Purpose & key responsibilities of the role
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You will coordinate the forecast process with the relevant stakeholders, including preparation of the Group forecast (P&L, BS, CF) on the basis of central value drivers and the forecasts of the individual companies -
You will takeover co-responsibility for our annual budget and mid-term planning process including support in strategic decision-making, collaboration with various departments and presentation to the top management -
You will conduct analysis of monthly, quarterly and annual financial statements, as well as planning and commenting as part of management reporting -
You will provide strategic & operational planning and the derivation & tracking of measures; and you will create, and offer critical scrutiny of, business plans -
You will undertake further development of management models and controlling processes, especially planning processes -
You will participate in ad-hoc analyses, evaluations, and the preparation of presentations for decision-makers
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Purpose & key responsibilities of the role
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You will contribute to the forecast process with the relevant stakeholders, including preparation of the Group forecast (P&L, BS, CF) on the basis of central value drivers and the forecasts of the individual companies -
You will be responsible for HR/Personnel cost controlling -
You will take over responsibility for sub-processes in our annual budget and mid-term planning process including support in strategic decision-making, collaboration with various departments and presentation to the top management -
You will conduct analysis of monthly, quarterly and annual financial statements, as well as planning and commenting as part of management reporting -
You will provide strategic & operational planning and the derivation & tracking of measures; and you will create, and offer critical scrutiny of, business plans -
You will undertake further development of management models and controlling processes, especially planning processes -
You will participate in ad-hoc analyses, evaluations, and the preparation of presentations for decision-makers
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RESPONSIBILITIES
- Programming: know at least one of Python, SQL, R with the ability and willingness to learn the other two. Snowflake or Databricks knowledge is a plus.
- FMCG Knowledge: prior experience working at an FMCG company in a data or analytics focused role a plus.
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly.
- Statistical Reasoning: applied understanding of Stats and Probability and know how to use these tools to reduce uncertainty in a business context (regression, visualisation).
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …).
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience.
- Stakeholder Management: good at building mutually beneficial connections with functional stakeholders.
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly.
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organisation.
- Scientific Reasoning/Scoping: ability to define and formulate new questions, in addition to answering given ones.
- Grit: proven capability to see things through to the end even if initial feedback is discouraging.
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RESPONSIBILITIES
- 2+ years of experience in the FMCG sector, ideally within the beverage industry.
- Strong verbal and written communication skills, with a team-oriented mindset and the ability to engage effectively with stakeholders at various levels.
- A structured, process-oriented approach with a deep understanding of sales processes.
- Hands-on experience in International Sales Business Insights, Distributor/Wholesaler (DP/WHS) Management, and Field Sales Management.
- Proven experience in managing projects, with the ability to drive initiatives from conception to execution.
- Strong analytical skills, including experience with econometric modelling and statistical analysis.
- Proficiency in MS Excel, Access, and PowerPoint; knowledge of SAP BI, Power BI, and Tableau; familiarity with SQL or R is a plus.
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RESPONSIBILITIES
- 4+ years of experience in Data Science. Previous experience working as a Machine Learning Expert is a plus
- Masters or Doctorate in relevant field, for instance: Mathematics, Statistics, Science (including data, behavioural, social, econ, ...)
- Good command of English, both spoken and written. German a plus
- Programming: know at least one of R, Python, SQL with the ability and willingness to learn the other two
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly
- Statistical Reasoning: theoretical and applied understanding of Stats, Probability and ML Algorithms and know how to use these tools to reduce uncertainty in a business context (regression, visualization)
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …)
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience
- Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organization
- Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones
- Grit: proven capability to see things through to the end even if initial feedback is discouraging
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Ihre Aufgaben
- Bearbeitung von Incidents und Requests
- Eigenständiges Lösen von Problemen
- Second Level Tätigkeiten im Clientumfeld
- Dokumentation von erkannten und gelösten Problemen
- Alarmierung von Bereitschaftsdiensten und Eskalation
- Tracking von Tickets während ihrer gesamten Laufzeit
- Troubleshooting Microsoft OS, M365, Azure, Office, Software, Treiber, Firmware und ca. 5000 Applikationen konzernweit
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