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Responsibilities

• Support Digital Transformation team in execution of Industry 4.0 and AI-related projects.
• Develop and optimize Power BI dashboards, translating business needs into data models and insights.
• Perform data extraction, transformation and loading (ETL) processes and support digital and AI-related initiatives, including automation and analytics platforms.
• Assist with testing, deployment, user adoption, and the creation of documentation, user guides, and training materials.
• Identify and recommend improvements for dashboards, processes, and reporting frameworks to enhance usability, performance, and automation.
• Support CORE (Customer Oriented Results & Excellence) team in execution of process improvement projects, development of Community of Practice and consolidation of best practices.
• Support project planning, coordination, and tracking across multiple critical projects by maintaining schedules, action trackers, meeting minutes, and status updates, while ensuring follow-up on deliverables and timelines with stakeholders.
• Prepare documentation, user guides, and training materials.
• Centralize business knowledge, templates, technical documentation, know-how, and improvement initiatives to enhance CORE and DT capabilities.

Learning Outcome

• Gain exposure to the Aerospace MRO industry, including Engine Centers, Component Repair, Manufacturing, and Digital Transformation initiatives such as Industry 4.0, process excellence, and continuous improvement.
• Perform data analysis to identify trends, support decision-making, and develop expertise in business communication, problem-solving, prioritization, data governance, quality, and pipeline monitoring.
• Build skills in project management, including planning, reporting, risk management, requirement gathering, and the end-to-end digital project lifecycle (requirements, testing, deployment) in a dynamic business environment.

Requirements

• Diploma or Degree in Engineering (Aerospace/Electrical/Electronic/Mechanical/Software), Business, IT/Computer Science, Data Science/Analytics, Business Analytics, AI, or Information Security.
• Proficiency in Python, SQL programming, Web/HTML, Microsoft Excel, PowerPoint, and Power BI, with knowledge of data modeling, data visualization, and UI/UX principles.
• Strong analytical, problem-solving, communication, and time management skills.
• Basic understanding of project management principles.
• Proactive, detail-oriented, and able to work independently in a fast-paced environment.

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.  

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