Senior Data Analyst - Systems Engineering

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 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 R&R.
•    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.

Experience Level

Senior Level