Collins Aerospace Recruitment 2026

Collins Aerospace

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0–2 Years1 day ago

Experience0–2 Years

QualificationB.E/B.Tech

Skills & Eligibility

Associate Engineer – Data Analytics:
Bachelor’s degree in Engineering such as Mechanical, Industrial, Production, Aerospace, Computer Science, Information Technology, Electronics, or a related discipline.
Fresh graduate or up to 2 years of relevant industry experience.
Basic understanding of data analytics and data visualization concepts.
Exposure to Microsoft tools and/or Tableau through academic projects, internships, certifications, or professional experience.
Familiarity with AI tools and interest in applying them to engineering and business processes.
Proficiency in Microsoft Excel and PowerPoint.
Willingness to learn, collaborate, and work in a fast-paced environment.
Internship or project experience involving data analytics, business intelligence, or process improvement.
Basic knowledge of SQL and Python for data analysis.
Experience creating dashboards, KPIs, and automated reports.
Exposure to manufacturing, engineering, or operations data.
Certifications in Power BI, Tableau, AI, Data Analytics, or Microsoft technologies.
Self-motivated approach with a continuous-learning mindset.
Curiosity about emerging technologies.
Bachelor’s degree in Engineering such as Mechanical, Industrial, Production, Aerospace, Computer Science, Information Technology, Electronics, or a related discipline.
Fresh graduate or up to 2 years of relevant industry experience.
Basic understanding of data analytics and data visualization concepts.
Exposure to Microsoft tools and/or Tableau through academic projects, internships, certifications, or professional experience.
Familiarity with AI tools and interest in applying them to engineering and business processes.
Proficiency in Microsoft Excel and PowerPoint.
Willingness to learn, collaborate, and work in a fast-paced environment.
Internship or project experience involving data analytics, business intelligence, or process improvement.
Basic knowledge of SQL and Python for data analysis.
Experience creating dashboards, KPIs, and automated reports.
Exposure to manufacturing, engineering, or operations data.
Certifications in Power BI, Tableau, AI, Data Analytics, or Microsoft technologies.
Self-motivated approach with a continuous-learning mindset.
Curiosity about emerging technologies.

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