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Quality Process Engineer
Jobs at Whelen Engineering | Whelen Engineering Careers
Charlestown, USA
Full-time
Entry
Onsite
Discovered 1 weeks ago
Free
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Key Responsibilities
- Improve the quality, completeness, consistency, and reliability of data used to make quality and operational decisions.
- Analyze existing data sources, including nonconforming product, scrap, rework, turnbacks, customer returns, and related quality records, to identify trends, gaps, weaknesses, and opportunities for improvement.
- Develop, maintain, and improve metrics, dashboards, and reports that support Quality Assurance, Operations, Manufacturing Engineering, and leadership decision-making.
- Partner with cross-functional teams to define data requirements, standardize data entry expectations, and improve the usability of quality reporting systems.
- Support the cleanup, organization, and governance of quality data to ensure information is accurate, accessible, and actionable.
- Assist in documenting quality-related processes, especially nonconforming product reporting and customer returns reporting, to improve consistency and repeatability.
- Support training efforts by helping define system use expectations, data entry standards, and reporting best practices.
- Work with Quality Assurance and process owners to identify process adherence issues and recommend improvements based on data trends and audit results.
- Provide reporting and analysis that supports internal audits, compliance activities, corrective action tracking, and continuous improvement initiatives.
- Help strengthen the overall quality system by improving visibility into process performance, compliance, and data integrity.
Required Qualifications
- Bachelor’s degree in engineering, quality, data analytics, manufacturing, business systems, or a related field; equivalent experience may be considered.
- Experience working with quality systems, manufacturing operations, process improvement, data analysis, or reporting.
- Strong analytical skills with the ability to evaluate data, identify trends, and translate findings into clear recommendations.
- Proficiency with spreadsheets, databases, reporting tools, or business intelligence tools.
- Strong attention to detail and commitment to data accuracy and process consistency.
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