Traineeship in data science and analytics in HR

Join as a data science trainee in HR analytics at ECB.

This opening expired 1 year ago. Do not try to apply for this job.

ECB - European Central Bank

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Application deadline 1 year ago: Friday 21 Mar 2025 at 00:00 UTC

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Overview

Join as a data science trainee in HR analytics at ECB.

You have:

  • 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 related disciplines.
  • Advanced skills in R or in another statistical programming language.
  • Excellent analytical and conceptual skills and interest in complex technical content.
  • Good knowledge of MS Office package.
  • Advanced (C1) command of English and intermediate (B1) command of at least one other official language of the EU.
  • Experience in HR analytics.
  • Experience with SQL, Tableau and/or big data technologies.
  • Experience in data cleaning, data transformation and data visualization.

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.

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 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.

Further information on how to apply is available on our website.

If you are not selected for this position but are still considered suitable, you will be placed on a reserve list for 12 months from the closing date for applications, from which you might be considered for other traineeship positions within the ECB.

Potential interview questions

Can you provide an example of a complex data analysis project you worked on? This assesses your practical experience with data analysis and problem-solving skills. Discuss the project, your role, tools used, and outcomes.
How do you prioritize tasks when working on multiple projects simultaneously? This evaluates your time management and organizational skills. Pro members can see the explanation.
Describe a time you had to explain technical data to a non-technical audience. Pro members can see the explanation. Pro members can see the explanation.
What is your approach to collaborating with team members from diverse backgrounds? Pro members can see the explanation. Pro members can see the explanation.
How do you keep current with developments in data science and HR analytics? Pro members can see the explanation. Pro members can see the explanation.
Added 1 year ago - Updated 1 year ago - Source: ecb.europa.eu