Traineeship in Data Science and Analytics in HR

Human Resources
4306

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 30.09.2021

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 ECB employees. 

The task of the HR Analytics team is to enable the Directorate General to use a data-driven and evidence-based approach to best serve the needs of employees and the organisation. In particular, the team provides data science services to stakeholders in the Directorate General and in other business areas, supporting their activities, generating insights to shape HR strategy, and using data analytics to optimise the impact of HR policies on working conditions, well-being and performance.

The team comprises 10-12 highly skilled data science and analytics professionals who collaborate with colleagues from across our Directorate General.

The ECB is an inclusive employer and we strive to reflect the diversity of the population we serve. We encourage you to apply irrespective of age, disability, ethnicity, gender, gender identity, race, religious beliefs, sexual orientation or other characteristics.

Your role

As a trainee in HR Analytics, you will:
  • develop statistical analyses and data science solutions and provide recommendations for strategic HR decision-making and HR 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 them 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;
  • as a minimum, 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 objectives of this position.

Further information

Traineeship of between 6 and 12 months in total.

Application and selection process

Further information on how to join us is available on our website.

The recruitment process for this position will include a remote written test and an online interview.