Growth Trainee, Advanced Applications & Analytics

GE Vernova; Dubai; Hybrid; AED 60,000 - 70,000; Full time

Job summary

GE Vernova is offering a 1-year full-time trainee position in Dubai with a hybrid working model. The role focuses on techno-commercial analysis of installed base, lifecycle management, and building customer relationships while learning new technologies under supervision.

You will support data collection, reporting, and stakeholder discussions. Ideal candidates are engineering graduates or final-year students, fluent in Arabic and English, and eager to grow in power assets and automation.

Qualifications

• Bachelor's degree in engineering is required.
• Final year students may join full time.
• Basic understanding of power assets and automation system.
• Strong analytical mindset and ability to interpret data.
• Fluency in Arabic and English.
• UAE Nationals holding a Family Book are encouraged to apply.

Responsibilities

• Support collection validation and updating of installed base.
• Analyze asset information to identify service opportunity lifecycle and upgrade provisions.
• Assist in preparing reports, dashboards and customer insights.
• Prepare materials for customer meetings and lifecycle recommendations including training proposals.
• Participate in discussions with customers and internal teams to understand services needs.
• Work with advance application team, sales and operations to align on services strategies.
• Assist engineering or applications team in drafting solutions under supervision.

Skills

Analytical mindset

Learning agility

Arabic & English fluency

Team collaboration

Education

Bachelor's degree in engineering

Final year students available for full-time

Tools

Microsoft Office

Cloud services familiarity

Job description

GE Vernova is offering a 1-year full-time trainee position in Dubai with a hybrid working model. The role focuses on techno-commercial analysis of installed base, lifecycle management, and building customer relationships while learning new technologies under supervision.

You will support data collection, reporting, and stakeholder discussions. Ideal candidates are engineering graduates or final-year students, fluent in Arabic and English, and eager to grow in power assets and automation.