Systems and Process Solutions for your Enterprise
Supplier Quality Engineer
Location
United States
Posted
85 days ago
Salary
0
Seniority
Senior
Job Description
Supplier Quality Engineer
SAPSOL Technologies Inc. : Systems and Process Solutions for your Enterprise
• 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. • 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. • 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. • 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. • 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.
Job Requirements
- 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.
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