How do I apply for the Traineeship in people analytics, data science and innovation in HR position at European Central Bank 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 European Central Bank 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 Traineeship in people analytics, data science and innovation in HR role?

This position is a full-time, structured as a not disclosed role, with an expected duration of 6 months.

What educational background or degree level is required for the Traineeship in people analytics, data science and innovation in HR at European Central Bank?

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

Does European Central Bank 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.

Traineeship in people analytics, data science and innovation in HR

European Central Bank

Found 1 month ago

Location

Frankfurt am Main, Germany

Duration (Months)

6 Months

Time

Full-time

Work Mode

Not disclosed

Salary

€1,170 per month

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor
Master
PhD

Skills & Qualifications

Technical Skills

R
Python
SQL
MS Office package
statistical programming language
data science
statistics
mathematics
computer science
human resources management
business administration
economics
social and organisational psychology
business information systems
business analytics
R Shiny
Tableau
PowerBI
data cleaning
data transformation
data visualisation
information systems (IS)
information technology (IT)
AI
new technologies

Soft Skills

excellent analytical and conceptual skills
interest in complex technical content
curious and eager to learn
ability to analyse complex information
keen to collaborate with others
pursue team goals
learn from other people’s diverse perspectives
strive to know and anticipate stakeholder needs
signal any need for change
propose alternative solutions
motivated to contribute to the ECB’s mission
serve the citizens of the EU as a member of a public institution
work with colleagues from all over Europe
keen to be part of our team
use your skills and competencies to achieve the aims of this position

Job Description

As a trainee in the People Analytics team, you will: develop statistical analyses and data science solutions and provide recommendations for strategic HR decision-making and policy development; contribute to exploring new tools and technologies, testing them and developing prototypes; support the development of a data-driven, evidence-based approach to HR by reviewing research literature, generating insights from available reports and tools, and training colleagues to integrate these into their work; contribute to transforming and visualising HR datasets for various projects and tasks. The traineeship offers you excellent opportunities to learn from experienced data scientists, gain hands-on analytics experience and work with leading technologies in a dynamic and inspiring environment. You will be part of a multicultural team that strives for continuous innovation to make a positive impact on the lives of European citizens.

Requirements

a bachelor’s degree or higher in data science, statistics, mathematics, computer science, human resources management, business administration, economics, social and organisational psychology, business information systems, business analytics or another relevant discipline
advanced skills in R, Python, SQL and/or another statistical programming language
excellent analytical and conceptual skills and an interest in complex technical content
a good knowledge of the MS Office package
an advanced (C1) command of English and an intermediate (B1) command of at least one other official language of the EU, according to the Common European Framework of Reference for Languages

AI & Machine Learning

Applied Machine Learning

Languages

English
English

Nice to Haves

experience in people analytics/HR analytics
experience with R Shiny, Tableau and/or PowerBI
experience in data cleaning, data transformation and data visualisation
a sound, general understanding of information systems (IS) and information technology (IT)
interest in digitalisation, AI and new technologies
familiarity or, better, direct experience, with agile methodologies

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