STAFF SYSTEMS ENGINEER - Sr. Data Analyst

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Description:

Job Overview

Analyze inspection and measurement data generated by AOI systems for high-density connectors.
Convert machine vision and motion system outputs into actionable quality insights.
Evaluate inspection accuracy, repeatability, and long-term stability.
Support near-zero defect escape requirements of AI data-center hardware.
Act as the analytical authority for inspection perforance..

Key Responsibilities:

*Inspection Metrology Data Analysis*

Analyze optical measurement and 3D inspection data.
Correlate vision results with motion and process parameters.
Identify trends, anomalies, and systemic issues.

Statistical Performance Quality Analytics

Define KPIs: detection rate, false calls, repeatability, drift.
Perform SPC, capability analysis, and Gage RR.
Validate inspection thresholds and decision limits.

Data Integrity Traceability

Ensure synchronization of vision inspection and motion data.
Validate data completeness and consistency.
Support audits, customer reviews, and qualification activities.

Continuous Improvement

Provide data-driven feedback to vision and motion teams.
Support recalibration, tuning, and long-term monitoring.
Assist in yield improvement and reliability studies.
Database and storage Industrial 4.0 compatible

Mandatory Qualifications:

Degree in Data Science, Statistics, Engineering, or related field.
8 to 10 years experience in industrial inspection or quality analytics.
Strong statistical and analytical background.
Experience working with precision measurement data.
Ability to communicate insights clearly to engineering teams.

Nice to Have

Experience with AOI, optical metrology, or electronics inspection.
Knowledge of Six Sigma, SPC, or reliability engineering.
Proficiency in Python, SQL, or data visualization tools.