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
- 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
- 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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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
- 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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