RTX Collins Aerospace Hiring Associate Engineer Data Analytics

About the Role

RTX, the world's largest aerospace and defense company, is hiring an Associate Engineer - Data Analytics at Collins Aerospace in Bengaluru, India. This is an entry-level data analytics and business intelligence role within the Quality department.

Key Responsibilities

• Collect, validate, standardize, and maintain operational and quality data across business systems to ensure data accuracy and completeness.
• Partner with Quality, Engineering, Manufacturing, Supply Chain, and Program teams to deliver data for leadership reviews and executive decision-making.
• Develop automated dashboards and KPI reports using Power BI, Tableau, and Microsoft Excel.
• Drive reporting and process automation across quality, manufacturing, and supply chain functions using Microsoft tools.
• Analyze trends across quality metrics, manufacturing performance, supplier data, and operational efficiency to provide actionable insights.
• Support Lean, Six Sigma, Kaizen, and process improvement initiatives focused on cost, quality, delivery, and productivity.
• Apply AI tools to improve productivity, data analysis, and business reporting processes.
• Create and maintain data visualizations, reports, and presentations for cross-functional stakeholders.
• Ensure data governance, data quality, and data integrity across reporting systems.
• Contribute to continuous improvement of data analytics processes, tools, and methodologies.

Requirements & Tech Stack

• Bachelor's degree in Engineering (Mechanical, Industrial, Production, Aerospace, Computer Science, IT, Electronics, or related discipline).
• Fresh graduate or up to 2 years of relevant industry experience in data analytics, business intelligence, or quality engineering.
• Basic understanding of data analytics concepts including data collection, data validation, data cleansing, and data visualization.
• Exposure to Microsoft tools including Power BI, Excel, PowerPoint, and SharePoint through academic projects, internships, certifications, or professional experience.
• Familiarity with AI tools such as ChatGPT, Copilot, or similar platforms and an interest in applying them to engineering and business processes.
• Proficiency in Microsoft Excel including pivot tables, VLOOKUP, conditional formatting, and data analysis functions.
• Proficiency in Microsoft PowerPoint for creating executive presentations and business reviews.
• Willingness to learn, collaborate, and work in a fast-paced aerospace manufacturing environment.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent verbal and written communication skills for cross-functional collaboration.

Preferred Qualifications

• Internship or project experience involving data analytics, business intelligence, or process improvement in a manufacturing or engineering environment.
• Basic knowledge of SQL for data querying and database management.
• Basic knowledge of Python or R for data analysis and statistical modeling.
• Experience creating dashboards, KPIs, and automated reports using Power BI or Tableau.
• Exposure to manufacturing, engineering, quality, or operations data in an industrial setting.
• Relevant certifications in Power BI, Tableau, AI, Data Analytics, or Microsoft technologies.
• Understanding of Lean, Six Sigma, Kaizen, or other continuous improvement methodologies.
• Self-motivated with a continuous learning mindset and curiosity for emerging technologies in aerospace and defense.