How do I apply for the Working Student d/f/m - Commercial Data Analysis position at RWE 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 Working Student d/f/m - Commercial Data Analysis role?

This position is a part-time, structured as a on-site role, with an expected duration of 6 months.

What educational background or degree level is required for the Working Student d/f/m - Commercial Data Analysis at RWE?

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

Does RWE 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.

Working Student d/f/m - Commercial Data Analysis

RWE

Found 1 month ago

Location

Essen, Germany

Duration (Months)

6 Months

Time

Part-time

Work Mode

On-site

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor

Skills & Qualifications

Technical Skills

Python
Git
SQL

Soft Skills

analytical capabilities
Interest in data-driven decision-making
commercial topics
Structured and reliable way of working
ability to manage tasks independently
follow through to results
Curiosity
willingness to learn
confidence to ask questions

Job Description

Join a small, impact-driven team where your ideas and code can directly support commercial decisions. You will work closely with traders and analysts on the commercial side and collaborate with IT and market data colleagues on the technical side. This role offers hands-on exposure to how data supports trading decisions and is ideal for students who enjoy working with data, improving processes and learning how analytics is applied in a commercial environment.

Requirements

Currently enrolled student with strong programming and analytical capabilities and a background in either: + Quantitative analytics (e.g., mathematics, physics, econometrics) + Business or economics + Business information systems, or a related field combining business and technology
Strong Python skills, with version control (e.g. Git) and databases (SQL)
Interest in data-driven decision-making and commercial topics
Structured and reliable way of working, with the ability to manage tasks independently and follow through to results
Curiosity, willingness to learn and the confidence to ask questions when needed

Data & Analytics

Data Analysis

Nice to Haves

Dremio
Databricks
Apache Spark
Tableau

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