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TE Connectivity

STAFF SYSTEMS ENGINEER - Sr. Data Analyst

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  • Posted 18 days ago
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Job Description

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.

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About Company

Job ID: 140425291