Senior data analyst - supply chain (quality domain) Veldhoven • Yacht

Vacature in het kort

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Main focus of the Senior Data Analyst role within the Strategic Sourcing & Procurement department is to generate Business Insights for all our stakeholders, to guarantee excellent quality of data and provide supportive process insights for founded business decision making. From data set-up towards communication lines towards business, and in direct cooperation with the data scientist, you will be responsible for the complete set up of Business Insight generation.

Role and responsibilities

In this role you take ownership for the reporting landscape that we use to manage our suppliers. 

• The main scope is focusing on (material) quality processes (material notification process, return flow, repair orders, etc). Together with the Business Analyst you work on all needed insights and reporting in this domain of quality. Quality, next to Cost and Re-use, is one of the S&SP business goals.
• We expect you to pro-actively find opportunities for breakthrough developments, to turn a fragmented data landscape into an integrated center for supply chain information. 
• You will leverage your business and technical acumen for advanced deep dive analyses, to develop a thorough understanding of our business on all horizons (strategic, tactical, operational). And take the lead in getting your insights from pilot phase to embedding in operations. 
• Closely align with stakeholders, including, but not limited to, supply chain professionals and IT. With your efforts all developments will have a proven business impact.
• You will cooperate intensively with your team members to get to a standardized reporting framework, which is simple yet effective. Furthermore, you will act as a coach to ensure your colleagues are aligned on the way of working

• 3 – 6 years work experience in analytical roles related to supply chain management, preferably within domain of quality processes.
• 5 - 10 years experience as Spotfire Developer (hard requirement)
• Experience with developing reports: requirements gathering, setting up ETL architectures, defining processes for maintenance
• Experience and affinity with analytics and related tooling, such as BI tools (Tableau, Qlik, SAP BO), MS Office (Excel, Access), Process Mining & RPA
• Experience with data processing languages: SQL, Python, R, VBA etc.
• Experience and affinity with ERP systems, especially SAP