Traineeship in Data Science and Analytics in HR

**General Information**

**Type of contract** Traineeship

**Who can apply?** EU nationals eligible for our traineeship programme

**Grant** The trainee grant is €1,170 per month plus an accommodation allowance (see further information section)

**Working time** Full time

**Place of work** Frankfurt am Main, Germany

**Closing date** 21.03.2025

**Your team**
- You will be part of the Human Resources (HR) Analytics team in the Employee Services Division of the Directorate General Human Resources. Our Directorate General has over 100 members of staff who provide operational, talent management and advisory services to approximately 4,000 employees at the ECB. We are currently working on a data-driven and evidence-based approach that will enable the Directorate General to best serve the needs of employees and the organisation.

In your role as a data science trainee, you will be part of a close-knit team responsible for providing data science services to stakeholders in the Directorate General and other ECB business areas. You will support their activities, generate insights to shape HR strategy, and use data analytics to optimise the impact of HR policies on working conditions, well-being and performance. You will also work closely with relevant stakeholders both within and outside the Directorate General.

**Your role**
- As a trainee in the HR 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 and evidence-based HR approach 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 position 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.

**Qualifications, experience and skills**
- Essential:

- 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 or in 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.

Desired:

- experience in HR analytics;
- experience with SQL, Tableau and/or big data technologies;
- experience in data cleaning, data transformation and data visualisation.

You are curious and eager to learn, and want to further develop your ability to analyse complex information. You are keen to collaborate with others, pursue team goals and learn from other people’s diverse perspectives. You strive to know and anticipate stakeholder needs, and will signal any need for change and propose alternative solutions.

You are motivated to contribute to the ECB’s mission, to serve the citizens of the EU as a member of a public institution and to work with colleagues from all over Europe. You are keen to be part of our team and to use your skills and competencies to achieve the aims of this position.

**Further information**
- Initial traineeship of six months, with a possible extension to up to 12 months in total.

Other details on the conditions applicable to traineeships at the ECB can be found on our website.

**Application and selection process**
- The recruitment process for this position will include a remote written exercise in the pre-selection phase and - if you are invited to participate in the subsequent selection phase - an online interview.