Data Analyst - In-Analyste de données en service (In-Service Data Analyst)Engineering
About The Position
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. As the data analyst for aircraft that are currently off the ground (in-service) you will be part of the customer services organization, within the In-Service Engineering (ISE) team, supporting structural repairs and fleet performance. This team leverages engineering and operational data to identify trends, improve repair strategies, and enhance aircraft availability across the global fleet. Your role as a Data Analyst will be to extract, analyze, and visualize data related to repairs, recurrence, and spare parts usage, enabling informed decision-making and continuous improvement of in-service support activities.
Requirements
- Bachelor's degree (completed)
- Google Suite (google sheet, data studio etc.) or equivalent
- Aerospace (nice to have)
- Bilingual (French is a nice to have)
Nice To Haves
- Aerospace experience
- Bilingualism (French)
Responsibilities
- Extract and analyze data from multiple engineering and maintenance databases (repairs, damages, fleet performance, spare parts usage)
- Identify recurring repairs, trends, and patterns affecting aircraft structures
- Analyze repair recurrence and reliability issues to support engineering improvements and reduce operational disruptions
- Monitor and assess spare parts consumption and usage trends to support supply chain and maintenance optimization
- Develop and maintain interactive dashboards and reports (Google Suites/Data suite or equivalent to Power BI)
- Translate complex data into actionable insights
- Collaborate with engineers and stakeholders to define data needs
- Support in-service support strategies with data-driven recommendations
- Ensure data quality and consistency
- Contribute to continuous improvement initiatives
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
