Quality Data Analyst: SPC & Supplier Performance

Jabil; Bray; Sur place; EUR 55 000 - 75 000; Plein temps

Résumé du poste

Jabil is seeking a Quality Data & Supplier Performance Specialist to analyse quality data and support performance across suppliers, customers, and internal teams in a regulated manufacturing environment.

You will use SPC systems (Predisys) to identify trends, assess risks, and drive improvement actions through collaboration with internal and external stakeholders. Plan and implement review processes for data from SPC software like Predisys.

Qualifications

• Degree in Data Science / IT / Engineering or related field.
• 4–5 years of relevant experience.
• Or an equivalent combination of education, training or experience.
• Strong Excel and PowerPoint presentation skills.

Responsabilités

• Monitor, report and help resolve moulded component data trend performance issues, capability issues.
• Monitor, report and help resolve Bought-In-Component (BIC) data trend performance issues, capability issues.
• Prepare the data for review internally and with external stakeholders.
• Communicate the data routinely internally and with external stakeholders.
• Provide recommendations based on analysis of the data.
• Provide support to the internal team(s) in analysing and resolving issues identified.
• Provide support to suppliers in analysing and resolving issues identified, including follow-up on implementation of agreed actions at the supplier.
• Provide support to the customer in analysing and resolving issues identified.
• Participate in the exchange of ideas within the Quality department.
• Organize verbal and written ideas clearly and use an appropriate business style.

Connaissances

Data analysis

Stakeholder management

Excel

PowerPoint

SPC systems

Formation

Bachelor's degree in Data Science / IT / Engineering

Outils

Predisys

SPC systems

Description du poste

Jabil is seeking a Quality Data & Supplier Performance Specialist to analyse quality data and support performance across suppliers, customers, and internal teams in a regulated manufacturing environment.

You will use SPC systems (Predisys) to identify trends, assess risks, and drive improvement actions through collaboration with internal and external stakeholders. Plan and implement review processes for data from SPC software like Predisys.