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Hiring alert - General Electric is hiring for a Data Analyst Intern in India



Position:

  • Data Analyst Intern

Company:

  • General Electric (GE) Aviation Engineering

Location:

  • Bengaluru, Karnataka, India

Job Type:

  • Co-op/Intern

Job Mode:

  • On-site

Job Requisition ID:

  • R5004956

Years of Experience:

  • Not specified (Open to freshers or candidates with relevant academic experience)

Company Description:

  • General Electric (GE) Aviation Engineering is a globally recognized leader in aviation technology, offering innovative solutions in aircraft engine manufacturing, maintenance, and design.

  • The company has a strong focus on engineering excellence, sustainability, and advancing next-generation technologies to improve aviation performance.

  • GE Aviation Engineering provides career growth opportunities, mentorship programs, and hands-on training to nurture talent in engineering and technology fields.

  • With a presence in multiple countries, GE Aviation Engineering serves commercial and military aviation markets with cutting-edge propulsion systems.

  • The company fosters an inclusive and collaborative work environment, emphasizing teamwork, research, and professional development to drive innovation.

Profile Overview:

  • This internship opportunity is ideal for students and fresh graduates aspiring to gain hands-on experience in aviation engineering, data analysis, and visualization tools.

  • The intern will engage in data-driven projects related to aircraft engine performance, optimization, and visualization.

  • The role requires working with advanced tools such as Spotfire and PosIt workbench to analyze and process large datasets.

  • The selected candidate will have the opportunity to contribute to technical reports, research documentation, and internal presentations.

  • Through mentorship and collaboration with experienced engineers, the intern will learn about aviation technologies, industry standards, and engineering best practices.

  • The role involves exposure to cutting-edge engineering methodologies, fostering a deeper understanding of aviation analytics and innovation.

Qualifications:

Minimum Requirements:

  • A Bachelor’s degree in Engineering, Statistics, Machine Learning, or a related technical discipline.

  • Strong analytical and problem-solving skills.

  • Ability to effectively communicate technical information in a clear and concise manner.

  • Basic understanding of programming concepts.

Preferred Qualifications:

  • Proficiency in Python, R, or SQL programming.

  • Experience in data visualization and dashboard development using Spotfire, R, or Python.

  • Ability to work independently as well as collaboratively within a team environment.

  • Strong attention to detail and the ability to manage multiple tasks efficiently.

  • Prior exposure to aviation engineering concepts or industry-related coursework is a plus.

Additional Information:

  • Relocation Assistance: Not provided for this position.

  • Work Environment: The internship will be conducted at the GE Aviation Engineering facility in Bengaluru, providing exposure to a professional and research-driven setting.

  • Technical Skills Development: Interns will receive guidance on using industry-standard tools and methodologies to analyze and visualize engineering data.

  • Career Growth Potential: This internship serves as a gateway for future career opportunities within GE Aviation Engineering or similar roles in the aerospace sector.

  • Networking Opportunities: The role offers a chance to interact with experienced aviation engineers, researchers, and industry professionals, expanding professional connections.

  • Project-Based Learning: Interns will contribute to real-world projects that align with business goals, allowing them to develop problem-solving and technical expertise.

This internship is an excellent opportunity for aspiring engineers to gain valuable insights into aviation analytics, engineering methodologies, and data-driven decision-making processes.



Please click here to apply.


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