How do I apply for the Data Analyst internship position at RELX 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 .

Is the internship at RELX paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Data Analyst internship 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 Data Analyst internship at RELX?

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

Does RELX 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.

Data Analyst internship

RELX

Found 2 months ago

Location

Karlsruhe, Germany

Duration (Months)

6 Months

Time

Full-time

Work Mode

Hybrid

Salary

competitive internship salary

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor
Master

Skills & Qualifications

Technical Skills

Python
SQL
optimization
operations research
stochastic calculus
data analytics
data handling
programming tasks
market modelling
visualizing large data sets

Soft Skills

Strong communication and writing skills in English
Strong problem-solving abilities
enjoys working in a team
takes initiatives

Job Description

As part of the Carbon Quantitative team, you will contribute to the development of our European carbon market analytics with a focus on: * Data-driven insights * Trading behaviour research * fundamental market modelling. You will work closely with experienced analysts to design analytical tools, manage large datasets, and support the quantitative understanding of key gas market dynamics.

Requirements

Programming experience is required in Python and SQL
Mathematical background in optimization, operations research, stochastic calculus or related fields.
Strong communication and writing skills in English is a requirement
Comfortable handling and visualizing large data sets
Strong problem-solving abilities, enjoys working in a team, takes initiatives
Interest in energy markets, particularly in European gas trading and infrastructure
Bachelor or master’s in industrial, financial, data engineering or comparable fields of study

Data & Analytics

Data Analysis

Languages

English

Nice to Haves

Interest in energy markets, particularly in European gas trading and infrastructure

Apply Now

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