Supplier Quality Engineer

Key Responsibilities 1. Dashboard & Analytics Development - Build and maintain visual dashboards that provide clear, actionable insights into supplier quality performance, risks, trends, and corrective action effectiveness. - Translate complex, multi-source datasets into intuitive, decision-ready visualizations for SQE leadership and stakeholders.

2. Digitization & Workflow Alignment - Work closely with the current SQE digitization team to understand existing data flows, reporting workflows, and analytics requirements. - Align new analytics solutions with established SQE processes, standards, and governance models. 3.

Data Pipelines & Automation - Develop, maintain, and automate data pipelines and workflows for Supplier Quality Engineering using Alteryx (or equivalent ETL tools) . - Ensure data accuracy, repeatability, scalability, and timely refresh of SQE analytics. - Document data flows, transformations, and KPI definitions to support standardization and continuity.

4. Interactive Visualization & Reporting - Design, build, and maintain interactive dashboards using Tableau, Power BI, React-based dashboards, or equivalent tools . - Create analytics that support supplier quality decision-making, including performance monitoring, risk identification, and continuous improvement initiatives. - Optimize dashboards for usability, performance, and stakeholder adoption.

5. Ad-hoc Analysis & Executive Support - Perform ad-hoc data analysis to support SQE initiatives, leadership requests, and supplier reviews. - Present findings, trends, and insights to SQE stakeholders and leadership in a clear, concise, and business-focused manner. - Support governance reviews, operational reviews, and continuous improvement discussions with data-backed insights.

Required Qualifications & Experience - Bachelor's degree in Data Science, Statistics, Engineering, or a related field . - Hands-on experience with Alteryx or comparable ETL/data preparation tools for workflow automation and analytics enablement. - Experience with data visualization tools such as Tableau and/or Power BI (experience with React-based dashboards is a plus). - Strong proficiency in SQL for data extraction, transformation, and analysis. - Experience working with large, complex datasets from multiple systems. - Strong problem-solving, communication, and stakeholder management skills , with the ability to translate data into meaningful business insights.

Preferred Experience (Nice to Have) - Experience supporting Supplier Quality, Manufacturing Quality, or Supply Chain organizations. - Familiarity with quality metrics, corrective actions, audits, and supplier performance management. - Experience in aerospace, industrial, or regulated manufacturing environments . - Exposure to ERP and quality management systems