STAFF SYSTEMS ENGINEER - Sr. Data Analyst (Bangalore, KA, IN, 560066)

Activeverified 11h ago

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.