Supply Chain Analyst turning data into actionable insights within Corbion's Supply Chain Analytics team. Maintain Power BI dashboards and develop analytics assets in Microsoft Fabric.
Responsibilities
Maintain and enhance existing Power BI and Excel dashboards and models (DAX, Power Query/M, Python), ensuring data freshness, accuracy, and business relevance.
Support users across the supply chain (planning, logistics, procurement, commercial) by investigating anomalies, performing root-cause analyses, and translating findings into clear recommendations.
Interpret and communicate insights from dashboards and reports, helping stakeholders understand and act on the data.
Train and support colleagues in using dashboards and data models; act as a go-to person for questions and troubleshooting.
Guard data definitions and consistency; reconcile numbers across sources and keep documentation up to date.
Contribute to a culture of self-service analytics, empowering users to access and explore data independently.
Partner with business stakeholders to capture requirements and translate them into user requirements specifications.
Build new Power BI reports and semantic models (DAX measures, calculation groups), designing intuitive visuals and interactions.
Develop and evolve robust Power Query transformations; contribute to data quality checks and refresh pipelines within Microsoft Fabric.
Prototype analyses and notebooks in Python when beneficial (e.g., scenario analysis, data wrangling, performance checks).
Requirements
Curiosity and continuous learning: You actively explore new technologies and supply chain trends to improve solutions.
Problem-solving and analytical thinking: You break down complex challenges and build data-driven solutions.
Attention to detail: You ensure accuracy and consistency in data models, reports, and dashboards.
Business-oriented mindset: You understand how data supports supply chain performance and focus on outcomes that drive impact.
Clear and effective communication: You explain technical concepts simply to non-technical colleagues and document solutions for broader use.
Empathic, collaborative, and influential: You work well across teams (IT, planning, logistics, procurement, product management, sales) and help align everyone around shared goals and data definitions.
Proactive ownership: You take initiative to identify problems, propose solutions, and follow through without waiting for direction.
Affinity with programming/data: You enjoy working with data and are comfortable learning new tools and techniques.
Benefits
Meaningful impact: your work contributes to medical innovations that improve lives.
International environment: be part of a dynamic and diverse team.
Innovative culture: room for initiative, ideas, and personal growth.
Great atmosphere: a professional yet informal workplace where teamwork and fun go hand in hand.
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