Hybrid Reliability Data Analyst – Engineer II

Collins Aerospace

Aguadilla (PR)

Hybrid

USD 70,000 - 100,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
3 weeks vacation
401(k) with match
ESP program
Life insurance
Disability coverage
EAP counseling

Job summary

Collins Aerospace in Aguadilla, PR is seeking an Engineering Analyst to support the Power & Controls organization. You will coordinate data flow with suppliers, perform data quality checks, and help normalize technical data into business metrics.

Role emphasizes communication, data management, and proficiency with MS Excel, SQL, and data visualization. Hybrid work arrangement: 3 days onsite, 2 remote, with relocation not offered.

Qualifications

  • Requires STEM degree or equivalent with 8 years of experience, or advanced degree with 5+ years of experience.
  • Demonstrated professional English communication skills (spoken and written).
  • U.S. citizenship is required for access to program/contract information.

Responsibilities

  • Coordinate data flow with suppliers and internal teams.
  • Review data formatting to meet reliability data requirements (Spec2000).
  • Perform data quality checks and ensure data integrity.
  • Discuss with vendors to plan correct data flow execution.
  • Understand technical data context and normalize into business metrics.
  • Conduct statistical analysis to assess completeness and validity.
  • Collaborate with team on data-related needs and tasks.

Skills

Data management
MS Excel
SQL
English communication
Attention to detail
Lean Six Sigma
Agile

Education

STEM degree
Advanced degree in related field

Tools

SQL
Database knowledge
Visualization tools

Job description

Collins Aerospace in Aguadilla, PR is seeking an Engineering Analyst to support the Power & Controls organization. You will coordinate data flow with suppliers, perform data quality checks, and help normalize technical data into business metrics.

Role emphasizes communication, data management, and proficiency with MS Excel, SQL, and data visualization. Hybrid work arrangement: 3 days onsite, 2 remote, with relocation not offered.

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