Die Rolle
- Erste praktische Erfahrungen im Bereich Demand & Supply Planning, Produktionsplanung oder in der Logistik/Supply Chain sind von Vorteil aber kein Muss
- Idealerweise erste Berührungspunkte mit SAP (z.B. SAP S/4 HANA, SAP TM, SAP IBP)
- Gute Kenntnisse in MS Office, insbesondere in Excel, um aussagekräftige Analysen aufzubereiten
- Ein ausgeprägtes analytisches Denkvermögen sowie eine strukturierte, eigenverantwortliche Arbeitsweise
- Motivation, dich stetig weiterzuentwickeln und Herausforderungen lösungsorientiert anzugehen
- Ein echter Teamplayer mit klarer, offener Kommunikation und dem Wunsch, gemeinsam etwas zu bewegen
- und last but not least: Begeisterung, Leidenschaft und eine professionelle Arbeitsweise
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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
- 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 3 years of professional experience as an Operations or Logistics Controller
- Degree in Business Administration with a focus on Finance/Controlling/Logistics/Supply Chain Management
- Excellent knowledge in English
- Experience in the area of cost-type and cost-unit controlling
- Excellent analytical, communication, problem solving and stakeholder management skills
- Experience with SAP ERP (FI/CO, SD), SAP TM, SAP BI, and Oracle Hyperion is beneficial
- Good command of advanced analytics and data visualization tools (Python, R, PowerBI, Tableau) is a plus
- Analytics mindset, Future vision focus, and passion for working with numbers
- Accuracy, reliability, flexibility, and result orientation
- Proactive, self-motivated, self-reliant and able to work under pressure in a fast-paced team environment
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RESPONSIBILITIES
- University degree in a relevant field
- At least 7 years of professional experience in the analytics field, preferably within an FMCG (fast-moving consumer goods) environment
- Knowledge of SAP BW/BI/BW4HANA and SAP SAC is essential; familiarity with other databases (e.g., SAP BDC, Snowflake, Data Bricks) or front-end technologies (e.g., PowerBI, Tableau) is a plus
- Interest in Supply Chain processes and data sets in the context of reporting, analytics, and planning
- Experience in managing projects, delivering and rolling out applications, as well as in running applications and managing their lifecycle for changes and enhancements
- Strong analytical and conceptual skills, paired with a collaborative and proactive mindset, agility, and adaptability to changing circumstances
- Self-motivated team player with good communication skills in English (German is a plus), performance-driven, and result-oriented
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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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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
- 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 structured support for strategic programs and projects, focusing on OKR management, sprint planning and portfolio analytics to drive performance, identify challenges, corrective actions and improvement plans
- Ensure quality in program planning, management and tracking across workstreams in SmartSheet while monitoring and improving milestones, risks, issues, and dependencies
- Manage, Co-ordinate and enhance governance for the programs. Prepare reports for relevant forums (Performance reviews, Delivery Boards, Executive updates etc) and support ad hoc reporting and visibility
- Assist in budget tracking, spend monitoring and preparation of financial reporting and business cases and support development of process to monitor and track financial and non-financial program performance
- Support workstream leads with tool management while driving performance improvements and promoting best practices aligned with group standards
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RESPONSIBILITIES
- Proven track record in project execution and cross-functional leadership, guiding diverse engineering teams toward successful delivery.
- 5+ years of experience in a senior Engineering or Automation Lead role, ideally within a high-performance or manufacturing environment.
- Exceptional communication skills, with the ability to engage effectively with both technical experts and non-technical stakeholders across all levels of the organization.
- Strong analytical mindset, capable of translating complex business needs into innovative, practical technical solutions.
- Deep technical expertise in intralogistics processes, warehouse automation, production equipment interfaces, and integration with IT systems.
- Solid understanding of industry standards, cutting-edge technologies, and regulatory frameworks, ensuring compliance and future-ready solutions.
- Proficient in MS Office and AutoCAD tools for project planning and design.
- Fluent in English and conversational in German, enabling effective collaboration in an international environment.
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