Intern, Professional

IPG Photonics•Marlborough, MA

About The Position

The Quality Data Analyst Co-op supports IPG Photonics’ Quality department by collecting, analyzing, and interpreting data from manufacturing processes, testing operations, and customer feedback. The role is intended for a student pursuing a technical or engineering degree who is interested in quality systems, data analytics, and continuous improvement. The co-op extracts, cleans, and analyzes quality datasets; creates visual reports and dashboards; and supports investigations into nonconformities, yield issues, and process deviations. The position also helps maintain quality records and documentation, prepares data for corrective and preventive actions (CAPA), 8D reports, and internal audits, and collaborates with cross-functional teams to communicate findings and recommend data-driven improvements. The role develops visualizations for quality investigations, trend analysis, and reporting. It includes building and maintaining dashboards, translating complex data into clear charts and layouts, presenting findings to stakeholders, and maintaining consistent visual standards across recurring reports. Learning outcomes include practical experience in quality and reliability engineering, manufacturing statistics, cross-functional engineering work, and data-supported improvement initiatives.

Requirements

Currently pursuing a degree in Engineering, Data Science, Statistics, Computer Science, Physics, or a related field.
Proficiency with Excel, including pivot tables, functions, and charts.
Strong analytical and problem-solving abilities.
Ability to interpret data, draw conclusions, and present results clearly.
Detail-oriented and organized, with the ability to handle multiple tasks.
Effective communication skills and ability to work in a team environment.

Nice To Haves

Experience with Python, R, SQL, or Power BI.
Experience using statistical tools such as SPC, Minitab, or JMP.
Familiarity with quality methodologies such as Lean, Six Sigma, and Root Cause Analysis.
Exposure to manufacturing environments or complex electro-optical systems.
Understanding of data visualization tools or dashboarding.

Responsibilities

Extract, clean, and analyze quality-related datasets from manufacturing, test, and service systems.
Create dashboards, charts, and visual reports to identify trends, anomalies, and root causes.
Support investigations and troubleshooting for nonconformities, yield issues, and process deviations.
Maintain and update quality documentation, reports, and records.
Support quality engineers with data preparation for CAPA, 8D reports, and internal audits.
Collaborate with Manufacturing, R&D, Test, and Supply Chain teams to gather data and communicate findings.
Recommend data-driven improvements to product quality and operational metrics.
Develop visualizations for quality investigations, trend analysis, and reporting.
Build and maintain dashboards using Excel, Power BI, or other industry-standard visualization libraries.
Transform large, complex datasets into user-friendly charts, graphs, and layouts for engineers and leadership.
Present visual findings during team meetings and communicate quality metrics to cross-functional stakeholders.
Ensure consistent formatting, labeling, and visual standards across recurring quality reports.