Data Analyst Internship (m/w/d) at HANGAR 901 Aircraft Maintenance GmbH
Lautzenhausen, Rheinland-Pfalz, Germany -
Full Time


Start Date

Immediate

Expiry Date

14 May, 25

Salary

0.0

Posted On

15 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

This is us
German quality with international team spirit! HANGAR 901 is one of the largest independent aircraft maintenance companies in Europe. With more than 400 specialised professionals, we serve over 70 customers from all over the world during 24/7 shift work.

What we offer

  • A hands-on learning experience in a fast-paced environment
  • Exposure to real world data analytics projects
  • Mentorship and guidance from experienced professionals
  • Flexible working hours

What you offer

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Operational Research, Statistics, Economics, Marketing, or a related field
  • Basic knowledge of Python or R, as well as SQL
  • Some experience or coursework in data visualization, preferably using Power BI
  • Strong analytical mindset and eagerness to learn

These are your tasks

  • Assist the Business Development & Strategy team in analyzing and interpreting data to support decision-making
  • Work with structured and unstructured data to identify trends and insights
  • Support the development of dashboards and reports using Power BI
  • Contribute to forecasting and modeling efforts using historical datasets
  • Help track department initiatives and generate reports

You can start your internship at any time.
HANGAR 901 Aircraft Maintenance GmbH | Building 900 | 55483 Hahn-Airport | www.hangar901.aer

Responsibilities
  • Assist the Business Development & Strategy team in analyzing and interpreting data to support decision-making
  • Work with structured and unstructured data to identify trends and insights
  • Support the development of dashboards and reports using Power BI
  • Contribute to forecasting and modeling efforts using historical datasets
  • Help track department initiatives and generate report
Loading...