Die Rolle
- Mindestens 5–7 Jahre Berufserfahrung in der Produktion von Business-Events, im MICE-Management, Community-Management oder in der internen Kommunikation
- Sicherer Umgang mit digitalen Kommunikationstools und -plattformen (z. B. MS Teams, Projektmanagement-Software, Adobe Creative Suite, Figma)
- Nachweisliche Erfahrung in der Entwicklung und Umsetzung von Change-Management-Konzepten
- Hervorragende organisatorische Fähigkeiten, inklusive starker Selbstorganisation und ausgeprägtem Projektmanagement-Know-how
- Kreative Denkweise kombiniert mit solidem betriebswirtschaftlichem Verständnis
- Exzellente schriftliche und mündliche Kommunikationsfähigkeiten
- Eigenständig, zuverlässig und belastbar in einem dynamischen Umfeld
- Analytisches Denken sowie prozessorientierte Arbeitsweise in Verbindung mit konzeptioneller Stärke
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RESPONSIBILITIES
- 4+ years of experience in Data Science. Previous experience working on Data Science topics in Operations / Supply Chain is a plus.
- Masters or Doctorate in relevant field, for instance: Mathematics, Operations Research, Science (including data, computer, behavioural, social, e-con, ...).
- 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
- 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
- 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).
- Project Management: able to navigate evolving requirements, prioritise effectively, and scope work in a way that balances impact, effort, and stakeholder needs.
- 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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YOUR RESPONSIBILITIES
- Lead the development and implementation of condition monitoring, notifications, and predictive service across PALFINGER
- Collaborate with cross-functional teams to gather, align, and prioritize requirements for predictive service use cases
- Analyze customer journey, technical capabilities, and market needs to define high-impact projects
- Manage projects from concept to delivery — ensuring scope, quality, budget, and schedule compliance
- Continuously explore and integrate innovative machine learning and data science methods into predictive service offerings
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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 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
- Bachelor’s degree in Management, Engineering, Logistics, Supply Chain Management, Sustainability, Data Science, or a related field.
- Fluency in English (written and spoken); additional languages are an advantage.
- Strong analytical and data analysis skills, with proficiency in MS Office, particularly Excel and PowerPoint.
- Experience with additional data analysis tools or programming languages is considered a plus.
- Prior experience in logistics or sustainability is beneficial but not mandatory.
- Excellent communication skills, paired with strong attention to detail and the ability to manage multiple tasks effectively.
- Team-oriented mindset with a proactive, solution-driven approach.
- Genuine interest in logistics, sustainability, and emerging technologies.
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Your Responsibilities:
- Provide disciplinary leadership and development for a team of technical experts, fostering a high-performance and collaborative culture.
- Oversee the implementation and global rollout of a company-wide PLM solution, ensuring alignment with business goals and stakeholder requirements.
- Coordinate the integration of PLM, working closely with the Process and Data Organization (PDO).
- Lead process optimization initiatives across departments, ensuring efficient and scalable solutions.
- Manage external service providers, including contract governance, performance monitoring, and budget control.
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RESPONSIBILITIES
- 7+ years in IT infrastructure architecture or related roles.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
- English mandatory, German optional.
- Proven expertise in data integration platforms (e.g., Azure Data Factory) and/or disaster recovery planning.
- Strong knowledge of hybrid cloud environments (Azure, AWS).
- Proficiency in virtualization, storage, networking, and backup technologies.
- Familiarity with automation tools and Infrastructure as Code (IaC).
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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
- 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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