How do I apply for the Intern (m/f/d) Fleet Analytics position at Hapag-Lloyd AG and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Intern (m/f/d) Fleet Analytics role?

This position is a full-time, structured as a hybrid role, with an expected duration of 6 months.

What educational background or degree level is required for the Intern (m/f/d) Fleet Analytics at Hapag-Lloyd AG?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master.

Does Hapag-Lloyd AG provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Intern (m/f/d) Fleet Analytics

Hapag-Lloyd AG

Found 1 month ago

Location

Hamburg, Germany

Duration (Months)

6 Months

Time

Full-time

Work Mode

Hybrid

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor
Master

Skills & Qualifications

Technical Skills

MS Office
Excel
PowerPoint
SQL
Python
R

Soft Skills

analytical skills
ability to structure complex problems
data wrangling
communication

Job Description

As an Intern (m/f/d) in Fleet Analytics, you will be an integral part of the Fleet Analytics & Performance team, working closely with experienced professionals. Your primary focus will be on analyzing performance data, identifying trends and anomalies and creating meaningful reports for stakeholders. This role is perfect for a student seeking practical experience in data-driven decision-making and performance management.

Requirements

Enrolled in a Bachelor's or Master's program in Business Analytics, Data Science, Industrial Engineering, Economics, Computer Science or a related field
Strong analytical skills with the ability to structure complex problems
Experience in combining datasets, including joins, merges and basic data cleaning
Proficiency in MS Office, particularly Excel and PowerPoint, for data manipulation and presentation
SQL skills for querying and joining data, enabling efficient data retrieval
Python or R programming skills for data wrangling and analysis
Available to start promptly for a 6-month internship with the potential for extension up to 12 months
Good English language skills for effective communication within the team and with stakeholders

Data & Analytics

Data Analysis

Languages

English

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