Quality Engineer: Data Analysist

Amphenol Printed Circuits•Nashua, NH

About The Position

The Quality Engineer: Data Analysist collects and reports accurate, consistent, and reliable business data trends. The role partners with stakeholders to improve quality, establish data rules, support manufacturing trends, strengthen data quality practices, and enable better business decisions through trusted data. Its focus includes data quality, execution, process improvement, project leadership, and cross-functional collaboration. The position supports quality improvement across Manufacturing, Supply Chain, Engineering, Customer Feedback, Finance, and related teams. It develops and maintains documentation, policies, data rules, and master data processes; reports quality KPIs and trends; and supports training and corrective and preventive actions. The candidate must be legally authorized to work in the United States and qualify as a U.S. person under the cited ITAR and immigration definitions. The company is unable to provide sponsorship.

Requirements

At least 3 years of experience in data management.
Bachelor's degree or equivalent experience.
Knowledge and understanding of manufacturing industries and best practices.
Excellent verbal and written communication skills.
Attention to detail and experience reviewing data trends.
Ability to manage multiple projects and prioritize among them.
Comfort with escalating issues and driving accountability.
Strong analytical, problem-solving, and root-cause analysis skills.
Experience supporting documentation, standards, policies, processes, and training materials.
Detail-oriented, self-directed, collaborative, and committed to continuous improvement.
Must be legally able to work in the United States; sponsorship is unavailable.
Must qualify as a U.S. person under ITAR, 22 CFR 120.15 (U.S. Citizenship or Resident Alien Status) and 8 U.S.C. 1101(a)(20).

Responsibilities

Partner with manufacturing stakeholders to identify quality issues.
Translate business requirements and processes into clear, measurable, and testable data quality rules.
Monitor data quality results, support corrective actions, and escalate systemic issues.
Support quality improvement initiatives across Manufacturing, Supply Chain, Engineering, Customer Feedback, Finance, and related teams.
Support APC continuous improvement teams with progress tracking and stakeholder updates.
Develop and maintain procedure documentation, policies, rule definitions, and master data process documentation.
Communicate data quality risks, project progress, and improvement opportunities to stakeholders and leadership.
Report monthly quality KPIs and implement quality dashboards in the Microsoft 365 environment.
Support process engineering with documented preventive and corrective action plans to improve metrics.
Support manufacturing areas in developing or improving standard operating procedures.
Support training on document changes for stakeholders.
Publish weekly trend reports with action plans.
Perform other duties as requested, directed, or assigned.