Quality Engineering Analyst

2 weeks ago

Elkton, Maryland, United States ProQuality Network Full time

The
Quality Operations Engineering Analyst
provides analytical support to the Elkton Quality departments through data-driven insights and process improvement initiatives. This role involves collecting, analyzing, and visualizing Quality-related data to enhance compliance, efficiency, and decision-making. The Analyst will also assist with reporting, issue identification, and continuous improvement initiatives within Quality Operations.

Key Responsibilities

  • Partner with Elkton Quality teams to identify and fulfill their data analysis and reporting needs.
  • Ensure the effectiveness of the nonconformance (NC) process by preparing timely Quality metrics, performing data analysis, and presenting findings in a clear, actionable manner.
  • Design and maintain dashboards and visualizations (e.g., NC and Quality metrics) in collaboration with developers to communicate trends and performance indicators across the organization.
  • Automate manual data collection and analysis workflows to improve accuracy and efficiency.
  • Identify untapped Quality data sources and apply appropriate statistical or analytical methods.
  • Use mathematical and statistical techniques to collect, trend, and interpret Quality data.
  • Recommend, implement, and track continuous improvement initiatives within Quality Operations.
  • Support administrative and cross-functional Quality activities as needed.
  • Adhere to all Environmental Health & Safety (EHS) and Quality System standards to ensure compliance and promote a safe, sustainable workplace.
  • Represent the Quality Engineering team in performance meetings, contributing ideas to drive organizational improvement.

Qualifications
Knowledge, Skills, and Abilities

  • Strong analytical skills with the ability to aggregate and interpret data from multiple sources.
  • Proficiency in data visualization and clear graphical presentation of insights.
  • Excellent verbal and written communication skills; strong organizational ability.
  • Demonstrated critical thinking and problem-solving capability, including identifying root causes and recommending effective corrective actions.
  • Quality-oriented mindset: process-driven, detail-focused, customer-centered, and results-oriented.
  • Working knowledge of statistical charts and methodologies.

Education And Experience

  • Bachelor's degree in Engineering, Science, Data Science, Mathematics, or a related discipline required (or equivalent combination of education and experience).
  • Minimum of 3 years of experience in engineering, quality assurance, or manufacturing support.
  • Experience in FDA-regulated industries preferred.
  • Proficiency in data analysis and automation tools such as Power BI, Minitab, Python, SAS, or VBA preferred.
  • Familiarity with SAP reporting and Data Lake environments a plus.
  • Lean/Six Sigma or ASQ-CQE certification preferred.

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