Working Student Data Analyst Cabin Engineering ...
@ Airbus

Hamburg, Germany
€30,000
On Site
Part Time
Posted 2 days ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXXXX******* @airbus.com
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Job Details

Overview

Airbus Operations is seeking a working student to support the Cabin Engineering - SA Planning & Data Management team as a Data Analyst. This role is designed for a student looking to apply data science or programming skills in a practical environment.

Team & Environment

You will join an international team of supportive professionals with diverse backgrounds. The placement will be at the largest production site for civil aircraft in Hamburg, offering an excellent mix of technical exposure and lifestyle benefits.

Responsibilities

  • Collect, clean, analyze, and visualize engineering data from various sources.
  • Collaborate with end users, stakeholders, and IT teams to understand requirements and pain points.
  • Define and track key performance indicators (KPIs) for service delivery and user satisfaction.
  • Create visually compelling reports and dashboards.
  • Ensure data quality through regular checks and documentation of methodologies and findings.

Benefits

  • International networking in a diverse work environment.
  • Exposure to modern and diversified technologies.
  • Active role in digital transformation without mundane tasks.
  • Opportunity to join the Generation Airbus Community.

Application Requirements

Please upload your CV, transcripts, and enrollment certificate. Applicants must be full-time students in computer science, software development, or related fields, with knowledge in Python or other programming languages, and fluent in English and German.

Key skills/competency

  • Data Analysis
  • Data Visualization
  • Python
  • Programming
  • Digital Transformation
  • Stakeholder Engagement
  • Data Quality Assurance
  • Reporting
  • Team Collaboration
  • Engineering Data
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How to Get Hired at Airbus

🎯 Tips for Getting Hired

  • Research Airbus culture: Study their mission, values, and recent news.
  • Tailor your resume: Highlight data analysis and programming skills.
  • Customize your cover letter: Address key role requirements.
  • Prepare for interviews: Practice technical and behavioral responses.

📝 Interview Preparation Advice

Technical Preparation

Review data cleaning techniques and Python basics.
Practice creating dashboards with visualization tools.
Study KPI tracking methodologies and reporting frameworks.
Update skills in data quality assurance and validation.

Behavioral Questions

Discuss teamwork experiences in academic projects.
Explain how you handled challenging feedback.
Describe managing multiple tasks effectively.
Share a time when you solved a complex problem.

Frequently Asked Questions