Description

You will analyze data to provide actionable insights for Supplier Quality Engineering.

Responsibilities

• Build and maintain visual dashboards showing supplier quality performance, risks, and corrective action effectiveness.
• Develop, maintain, and automate data pipelines using ETL tools to ensure accurate and timely SQE analytics.
• Design and maintain interactive dashboards using Tableau, Power BI, or React to support supplier quality decision-making.
• Perform ad hoc data analysis to support SQE initiatives, leadership requests, and supplier reviews.
• Align new analytics solutions with established SQE processes and governance models by working with the digitization team.

Required Skills

• 10+ years of professional experience.
• Bachelor’s degree in Data Science, Statistics, Engineering, or a related field.
• Strong proficiency in SQL for data extraction, transformation, and analysis.
• Hands-on experience with Alteryx or comparable ETL/data preparation tools.
• Experience with data visualization tools such as Tableau and/or Power BI.
• Experience working with large, complex datasets from multiple systems.
• Ability to translate data into meaningful business insights for stakeholders.
• Strong problem-solving and stakeholder management skills.

Preferred Skills

• Experience supporting Supplier Quality, Manufacturing Quality, or Supply Chain organizations.
• Familiarity with quality metrics, corrective actions, audits, and supplier performance management.

Key Skills

Education

Bachelor’s degree