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
- Contribute to projects that drive the global value chain, pricing and promotional efficiency through continuous improvement of global sales controlling processes and tools.
- Contribute to projects that deliver transparency and system integration in the areas of pricing, value chain management, customer and product profitability.
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RESPONSIBILITIES
- Education level/experience within same role/area, such as Degree in Business Administration, Supply Chain or Finance, or experience in Procurement Analytics or Category Management
- Advanced proficiency in English (written and spoken) is required, German or other languages is considered a plus
- Strong analytical skills with experience in data analysis and reporting.
- Knowledge of strategic and operational procurement processes.
- Excellent interpersonal and communication skills to build effective relationships with diverse stakeholders.
- Ability to identify cost-saving opportunities and drive procurement efficiencies.
- Proactive and detail-oriented with a focus on continuous improvement.
- Previous experience within category management or strategic procurement is preferred.
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RESPONSIBILITIES
- Deep knowledge of material master data and how it drives operations.
- Hands-on experience with SAP MDG-M (SAP MM module experience is a plus).
- Sharp organizational skills and relentless attention to detail.
- Strong problem-solving instincts for ticketing and data/process inconsistencies.
- A process-improvement mindset with a track record of implementing enhancements.
- Clear, effective communication — able to translate complex topics into simple, actionable steps.
- Analytical focus: isolate the core issue, design the fix, measure the impact.
- Proven ability to maintain data accuracy and alignment across systems and stakeholders.
- Ability to thrive in a fast-paced environment with shifting priorities.
- Project management skills are a plus.
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RESPONSIBILITIES
- A minimum of 3 years of experience in a data engineering role.
- Fluency in both German and English.
- Strong Partnership and Collaboration Skills: You have a proven ability to work effectively with technical and non-technical stakeholders. Given the international nature of this role, strong experience collaborating directly with data analysts and data scientists across different regions and sports is essential for success.
- Expert-Level Technical Skills: Deep knowledge of modern data modeling, ETL/ELT development, and data warehousing principles.
- Proven GCP Expertise: Significant hands-on experience building and deploying data platforms on Google Cloud Platform (GCP). Deep proficiency with BigQuery is essential.
- A Proactive, Responsible and Positive Mindset: A track record of taking ownership of complex technical projects and seeing them through to successful completion. You are a pragmatic problem-solver who anticipates challenges and takes initiative, with a “can-do” attitude and culture that we live for at Red Bull IT.
- Project Experience: Proven track record of large-scale project involvement and solutions across complex business domains.
- Partners and vendors: Experience in dealing with sourcing partners, vendors and suppliers, and involvement in multi-stream, complex activities across several external partner teams, tracking success and progress via engineering metrics such as Velocity, Burndown, Capacity Mgmt, Planning and Engineering Forecasting.
- Governance and Policies: Experience in data science and data engineering governance, policies and oversight.
- Bonus Points for: Experience with data transformation tools, especially dbt, workflow management tools like Dagster, Infrastructure-as-Code tools like Terraform.
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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
- 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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Die Rolle
- 10+ Jahre Erfahrung im Bereich Data & Analytics mit einem starken Track Record in datengetriebenen Transformationsprojekten, idealerweise im Medien-, Digital- oder Tech-Umfeld
- Nachweisliche Führungserfahrung sowie Kompetenz im Aufbau und in der Skalierung leistungsfähiger Data & Insights-Teams
- Tiefe Kenntnisse in Web- und App-Analytics, Audience Measurement, Data Modelling und Experimentation sowie der Ableitung strategischer Insights
- Erfahrung in Marktforschung (Panels, Studien) und der Integration dieser Daten in digitale Analyse- und Technologieumgebungen
- Sichere Anwendung von BI-Tools, Cloud-Datenplattformen und Data-Pipelines sowie fundiertes Verständnis von Datenschutz, Compliance und DSGVO-Anforderungen
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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
- 5+ years’ experience in media monitoring, sponsorship analysis, or related fields (agency background preferred).
- Strong analytical mindset with the ability to structure and interpret data (ETL) into actionable insights.
- Proven experience sourcing and evaluating earned media and monitoring data, with expertise in managing external suppliers or outsourced teams.
- Familiarity with social media platforms and analytics tools (e.g., Sprinklr, native reporting dashboards).
- Basic understanding of Python and motivation to grow technical skills.
- Team-player mentality, proactive, adaptable, and curious, with a passion for sports, culture, and data storytelling.
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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
- 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
- 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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RESPONSIBILITIES
- IT-related degree, or a degree in economics or law with a strong affinity for IT
- At least 3 years of professional experience in a similar position
- Fluent English skills, German is a plus
- Extensive experience in budgeting and cost management
- Demonstrated experience in contract management and negotiation skills
- Strong commitment to standardizing and streamlining approaches and processes
- Excellent communication skills and a proven ability to build sustainable relationships
- High level of self-responsibility and reliability paired with a structured, analytical and diligent work style and a strong learning agility
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RESPONSIBILITIES
- Master of Science in Engineering, Information Technology or Business Administration or a similar relevant field
- At least 5 years of experience in international consulting firms with exposure to global projects and cross-functional teams
- Fluent English skills, German is a plus
- Proven experience leading international project teams, managing diverse stakeholders, and ensuring successful delivery in a global environment
- Industry expertise in food and beverage, consumer goods, or related industries, with exposure to end-to-end supply chain know-how (e.g. operations, R&D, supply chain, quality, and packaging development processes within the F&B/CPG sector)
- Familiarity with project management tools (e.g. Workfront, Confluence, and Jira) to coordinate cross-functional projects
- Strong quantitative and analytical skills with the ability to interpret complex data and drive data-informed decisions
- Proven problem-solving skills paired with the ability to work independently and autonomously, while fostering collaboration within a team-oriented structure
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RESPONSIBILITIES
- Bachelor's degree in Fashion Design or a related field
- Minimum of 4 years of professional experience in a similar role
- English fluent, German skills are beneficial
- Extensive experience and technical of Outewear, fabrics, function and treatments, bestseller shapes for menswear and womenswear
- Strong Trend research and market research skills
- Superior organizational skills, ability to multitask, meet deadlines, and maintain attention to detail and creativity
- IMPORTANT: Please include a portfolio / website to your application
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RESPONSIBILITIES
- 15+ years of experience in departments such as Data, IT, Operations, Supply Chain or Finance
- 5+ years of experience in managing Teams.
- Master’s degree in Process Management, Business administration, Information System, Engineering or similar field.
- Budget management experience & Project management skills (Agile & Waterfall) are essential.
- Proven previous hands-on experience in business process management, process analysis, business process improvement, digital transformation or process management consulting is required.
- Familiarity with process tools (e.g. Celonis, UiPath, Power Automate, ARIS) and project management tools (e.g. Confluence, JIRA, workfront) as well as related concepts.
- Advanced Level of Knowledge in Microsoft Office Suite and Business Applications (SAP S4HANA, SAP MDG, SAP BW, SAC, SAP BI-IP Planning, Ariba)
- Strong analytical and problem-solving skills, with the ability to interpret data and deliver actionable business insights.
- Exceptional communication skills for both technical and non-technical audiences and change management capabilities.
- Strong organizational and documentation skills; able to manage multiple priorities effectively.
- Collaborative and proactive mindset, comfortable working with cross-functional teams.
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