RESPONSIBILITIES
- 2+ years of experience in data quality, data management, or a related analytical role, with a proven ability to investigate inconsistencies and identify root causes.
- Bachelor’s degree in Information Management, Data Analytics, Computer Science, Business Administration, or a related field, or equivalent experience in data operations, reporting, or issue management; exposure to data governance, data quality, or process management is a plus.
- Fluent, business-proficient English skills, suitable for working exclusively in an English-speaking environment and communicating clearly across all stakeholder groups.
- Strong analytical, documentation, and technical skills, including proficiency in Excel and SQL (or comparable tools), to categorize, track, summarize, and analyze data quality issues effectively.
- Clear communication and stakeholder management abilities, with experience working with ticketing systems (e.g., ServiceNow, Jira) and applying structured processes while working independently and ensuring accountability.
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RESPONSIBILITIES
- Experience in FMCG, Business, or IT, with strong project management and problem-solving skills
- University Degree in Economics, Business Administration or similar or equal practical experience
- Excellent English skills, German is an advantage
- Analytical mindset with great attention to detail, structured thinking, and a process-driven approach
- Proficient in Microsoft Office; experience with BI tools or coding languages (e.g. Power BI, Tableau, Python, SQL) is a plus
- Strong communication, presentation, and organizational skills to clearly convey insights and solutions
- Self-motivated learner who works well independently and in teams
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RESPONSIBILITIES
- Collaborate with project teams to collect and consolidate updates, ensuring accurate and timely reporting of portfolio performance
- From project initiation through project closing, you’ll monitor project health (including timeline & budget), track deliverables, and coordinate cross-portfolio dependencies to help deliver company-wide results
- Assess project risks, anticipate challenges such as delays, or resource constraints and execute mitigation strategies while keeping stakeholders informed
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RESPONSIBILITIES
- Extensive Project Management experience - Highly skilled in structuring, facilitating, and leading meetings and workshops to align diverse stakeholders, foster collaboration, and achieve actionable outcomes
- Expertise in leading complex end-to-end process design and conceptual discussions to streamline workflows, mitigate risks, and deliver innovative solutions.
- Comprehensive knowledge of end-to-end processes in Finance (Operations, and Sales is a plus), with particular experience in the FMCG industry. Proficient in systems such as SAP ERP FI/CO, Arriba, X-Suite, BIS, Provisions & Payables, E-invoicing, EDI Interfaces, Liquidity Forecast, and related business processes and data structures.
- Highly experienced in gathering, challenging, and translating business requirements to system integration concepts
- Creative problem-solving and adaptability
- System affinity, conceptual strength and holistic view
- Strong analytical skills, solution- and process oriented, structured, assertiveness, communicative and collaborative, team player, able to work under pressure and self-dependently
- Strong communication and presentation skills
- End to End Operations know-how, FMCG environment preferred
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RESPONSIBILITIES
- Lead the implementations and rollouts of services across Red Bull and its subsidiaries.
- Coordinate scope, budget, time, quality and external implementation teams/partners.
- Deliver projects based on Red Bull project management standards and principles. Collaborate closely with external vendors, internal teams such as architects and business partners.
- Oversee stakeholder engagement, risk mitigation and test management activities.
- Drive roadmaps and solutions to the company’s benefit.
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RESPONSIBILITIES
- 2+ years of FMCG experience (beverages industry preferred)
- Bachelor’s or Master’s degree
- Fluent in English, with strong written and verbal communication skills
- Team player with a process-oriented mindset and knowledge of sales processes
- Experience in International Sales, Business Insights, and Data Science
- Strong project management skills
- Background in Econometric Modelling & Statistics
- Proficient in MS Excel, Access, PowerPoint; knowledge of SAP BI, Power BI, Tableau; SQL or R is a plus
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RESPONSIBILITIES
- 3+ 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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RESPONSIBILITIES
- Minimum of 3 years working experience in the Business Intelligence area with project involvement, ideally gained as a Controller, IT Consultant, Business Consultant, Business Analyst or Requirement engineer
- Advanced level of Microsoft Excel/Word/PowerPoint skills as well as project management tools such as JIRA, Confluence and Workfront
- Solid controlling/accounting background and understanding of financial processes
- Ability to understand complex processes, identify risks and find solutions
- High attention to detail with excellent organizational and analytical skills and the capability to handle multiple projects and stakeholders
- 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
- 5+ years of experience in Data Science. Previous experience working on Data Science topics in Operations / Supply Chain is a plus.
- Programming: proficient in 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.
- 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, …).
- Statistical Reasoning: applied understanding of Stats and Probability and know how to use these tools to reduce uncertainty in a business context (regression, visualisation).
- 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 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
- Degree in Business Engineering, Business Administration, or a related field.
- 3-5 years of professional experience in a comparable product development or product management role, ideally within the POS product environment.
- Excellent communication skills (verbal and written) in English; German language skills are a plus.
- Strong procurement skills with basic contract management knowledge.
- Proven success in managing end-to-end product development projects and leading sustainability optimization initiatives, integrating sustainability principles into product design.
- Experience in project and process management, with the ability to handle multiple internal and external stakeholders effectively.
- Strong understanding of structured project management and the ability to work cross-functionally across different departments.
- Expertise in sustainable materials, sustainable product development, or sustainability in design.
- Advanced Microsoft Excel skills for product analysis and reporting; experience with SAP is desirable.
- Ability to adapt and problem-solve in a fast-paced, global organization.
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RESPONSIBILITIES
- 3 years experience in supply chain planning (ideally with knowledge of material requirements planning)
- Degree (Bachelor/Master) in Business Administration, Operations Management or similar OR qualification with relevant professional experience in the field
- Fluent in English, German is a strong plus
- Experience in state-of-the-art planning processes and systems (eg. SAP IBP)
- Interested in working within a fast-paced environment, within a global organization
- Strong analytical skills and fact-based decision making
- Open minded, collaborative and solution oriented
- Focused and Proactive
- Good interpersonal skills - Team player
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RESPONSIBILITIES
- Minimum of 2-3 years of professional experience as a data professional (e.g. data engineer, data scientist) or in a business/IT consulting position
- Strong and proven knowledge in SQL and database cloud solutions, ideally Snowflake, combined with proficiency in standard data architecture design and modelling.
- Expertise in using Python and Git/Github is expected; familiarity with PySpark and Snowpark will be a strong plus
- Experience in creating interactive web apps (e.g., using Streamlit or RShiny) and knowledge of business intelligence tools like Tableau and Power BI are beneficial
- Strong communication and presentation skills.
- Team-player and collaborative (“copy-left” vs “copyright”).
- Proactive, self-motivated, and able to work on different projects in parallel.
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RESPONSIBILITIES
- University degree (Bachelor's or Master's) with focus on supply chain management or logistics
- Fluent in English, German is considered as a plus
- 3+ years of professional experience in the field of (production) planning, supply chain management, or logistics.
- Experience with SAP S4/HANA, planning systems preferably SAP IBP and master data systems (SAP MDG-M) is advantageous.
- Very good MS Office skills, especially Excel.
- Analytical, precise and structured way of working.
- Process- and solution-oriented, able to work under pressure, organisational talent.
- Team Player mindset! You will be inserted in a multi-cultural and multi-skilled environment.
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RESPONSIBILITIES
- University degree in computer science / similar study or equal practical experience
- At least 3 years of professional experience within an IT department or consulting company
- Hands-on experience in IT project management and in the global roll-out and delivery of business applications
- Demonstrated ability to collaborate across functions or work with external partners
- Understanding of software development and system architecture (data models, integration of systems, programming languages and APIs) is beneficial
- Experience with management, configuration and implementation of SaaS based solutions is valuable
- A good understanding of AI concepts and frameworks to drive applications and foster innovation is a plus
- Knowledge and experience in requirement engineering (user story creation, process modelling, prototyping, …) or business analysis is beneficial
- Proactive working style, excellent communication skills in English (German is a plus) paired with performance- and result-orientation
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