Data Analyst – Quality Excellence (QE)

Role Overview

The Data Analyst will be part of the Quality Excellence (QE) Department, developing Quality performance management and product quality across operational and executive levels. The role involves data consolidation, analytics, and visualization to drive performance cycles and set quality targets.

What You Will Do

The Data Analyst will be responsible for consolidating, implementing, and analyzing Key Performance Indicators (KPIs) and associated data for Quality. They will also manage performance data enrichment, data visualization, and data analytics, and develop visual dashboards and reporting solutions.

Why It Might Be a Fit

The ideal candidate will have at least 5 years of professional experience, preferably in quality, manufacturing, or procurement, and strong coding skills in Python, VBA, Javascript, and SQL. They will also have experience in developing analytics and visualization solutions and proficiency in Foundry platform tools and Qlik Sense.

Requirements

• At least 5 years of professional experience, preferably in quality, manufacturing, or procurement
• At least 3 years of experience in developing analytics and visualization solutions
• Strong coding skills (Python, VBA, Javascript, SQL) and DevOps development methodology experience
• Proficiency in Foundry platform tools (Contour, Code Workbook, Code Repository) and Qlik Sense
• Excellent communication, stakeholder management, problem-solving skills, and ability to thrive in a fast-paced environment

Benefits

• Attractive salary
• Agreements on success and profit sharing schemes
• Employee savings plan
• Employee stock purchase plan
• Extra days-off for special occasions
• Holiday transfer option
• Staff council offering many social, cultural, and sport activities
• Complementary health insurance coverage
• Great upskilling opportunities and development prospects
• Unlimited access to +10.000 e-learning courses
• Certifications
• Expert career path
• Accelerated development programmes
• National and international mobility

Tagged as: Data Analysis