STAFF SYSTEMS ENGINEER - Sr. Data Analyst
TE Connectivity - Job Country India
Posted Jun 12, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 13, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
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Company
Application
- Cover letter
- Not verified
- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
STAFF SYSTEMS ENGINEER - Sr. Data Analyst Job Country India 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 Scie
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