Data Quality Analyst - Intern

Posted 6 Days Ago
Marlborough, MA, USA
In-Office
Internship
Appliances • Manufacturing
The Role
Supports the Quality department by extracting, cleaning, analyzing, and visualizing manufacturing, testing, and service data. Builds dashboards, identifies trends and root causes, supports nonconformity and CAPA investigations, maintains quality records, and communicates findings to cross-functional teams. The role also assists with audits, 8D reports, continuous improvement, and quality metric reporting.
Summary Generated by Built In
Job Summary & Responsibilities

About IPG Photonics

IPG Photonics is the world leader in high-performance fiber lasers and photonic solutions used in manufacturing, medical, scientific, and communications applications. The Quality organization ensures that IPG products meet rigorous design, reliability, and performance standards. As a Quality Data Analyst Coop, you will play a key role in helping the team make data driven decisions to improve product quality and operational efficiency.

Position Summary

The Quality Data Analyst Co‑op will support the Quality department by collecting, analyzing, and interpreting data generated from manufacturing processes, testing operations, and customer feedback. This role is ideal for a student pursuing a technical or engineering degree with strong analytical skills and an interest in quality systems, data analytics, and continuous improvement.

Key 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 investigation and troubleshooting efforts for nonconformities, yield issues, and process deviations.
  • Maintain and update quality documentation, reports, and records.
  • Support quality engineers with data preparation for corrective and preventive actions (CAPA), 8D reports, and internal audits.
  • Collaborate with cross functional teams (Manufacturing, R\&D, Test, Supply Chain) to gather data and communicate findings.
  • Recommend data driven improvements to enhance product quality and operational metrics.
Data Visualization Responsibilities (Integrated)
  • Develop clear, insightful data visualizations to support quality investigations, trend analysis, and reporting.
  • Build and maintain dashboards using tools such as Excel, Power BI, or other industry standard visualization libraries.
  • Transform large, complex datasets into user-friendly charts, graphs, and layouts that help engineers and leadership quickly understand issues and performance.
  • Present visual findings during team meetings and help communicate quality metrics to cross functional stakeholders.
  • Ensure consistency in formatting, labeling, and visual standards across recurring quality reports.
Preferred QualificationsRequired Qualifications
  • Currently pursuing a degree in Engineering, Data Science, Statistics, Computer Science, Physics, or a related field.
  • Proficiency with Excel (pivot tables, functions, charts); experience with Python, R, SQL, or Power BI is a plus.
  • Strong analytical and problem‑solving abilities.
  • Ability to interpret data, draw conclusions, and present results clearly.
  • Detail‑oriented, organized, and able to handle multiple tasks.
  • Effective communication skills and ability to work in a team environment.
Preferred Skills
  • Experience using statistical tools (SPC, Minitab, JMP, or similar).
  • Familiarity with quality methodologies (Lean, Six Sigma, Root Cause Analysis).
  • Exposure to manufacturing environments or complex electro‑optical systems.
  • Understanding of data visualization tools or dashboarding.
Learning Outcomes

By the end of the co‑op, the student will gain experience with:

  • Real‑world quality and reliability engineering and data analytics.
  • Statistical methods used in high‑tech manufacturing.
  • Working cross‑functionally in a fast‑paced engineering environment.
  • Using data to support continuous improvement and reliability initiatives.

Skills Required

  • 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, organized, and able to handle multiple tasks.
  • Effective communication skills and ability to work in a team environment.
  • Experience with Python, R, SQL, or Power BI.
  • Experience using statistical tools such as SPC, Minitab, JMP, or similar.
  • Familiarity with Lean, Six Sigma, and root cause analysis methodologies.
  • Exposure to manufacturing environments or complex electro-optical systems.
  • Understanding of data visualization tools or dashboarding.

IPG Photonics Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about IPG Photonics and has not been reviewed or approved by IPG Photonics.

  • Equity Value & Accessibility — An Employee Stock Purchase Plan offers a 15% discount with a lookback feature and is available in the U.S. and Germany. This broad-based equity program is consistently highlighted as a standout component of total rewards.
  • Leave & Time Off Breadth — PTO typically starts around three weeks with growth over tenure, alongside roughly 10–12 paid holidays and noted carryover options. Time-off policies are often viewed as a strong part of the package.
  • Strong & Reliable Incentives — Annual bonuses are emphasized as a meaningful part of total compensation. Company materials and role descriptions explicitly include bonuses as part of the offering.

IPG Photonics Insights

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The Company
HQ: Oxford, MA
1,458 Employees

What We Do

IPG Photonics is the world leader in fiber laser technology, offering solutions for applications across a wide array of industries. Headquartered in Marlborough, USA, the company has developed a robust, vertically integrated supply chain, developing key technology components in-house, thus enabling the most reliable, powerful, and efficient laser solutions. With over 30 locations across the globe, we are committed to developing innovative products that provide reliable, cost-effective solutions for our customers’ needs.

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