Traineeships in Analytics/Data Science in Human Resources at European Central Bank

You will be part of the Employee Services Division in the Directorate General Human Resources. Consisting of over 100 staff members, our Directorate General provides operational, talent management and advisory services to approximately 4,000 ECB employees.

You will help us to develop agile, customer-centric and strategic HR solutions and services in the areas of talent acquisition, leadership, business partnering, performance and talent management, and employee health and well-being, based on well-designed systems and people analytics.

In your role as an Analytics/Data Science Trainee in Human Resources, you will work as part of a team of between eight and ten highly skilled data science and analytics professionals to develop and implement policies, optimise processes and improve decision-making and strategies related to our staff. You will also work closely with the Human Resources IT team and several other teams in our Directorate General and the Directorate General Information Systems.

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 your gender, gender identity, ethnicity, sexual orientation, age, religion, disability or other characteristics.

Your Role
As an Analytics/Data Science Trainee in Human Resources you will:

provide hands-on support in using and manipulating people-related data for different projects and operational tasks, such as transforming, reshaping and visualising datasets;
help to design and pilot advanced HR analytics use cases through statistical modelling, data interpretation, deriving recommendations, documentation and writing implementation requirements;
carry out statistical analyses to address operational and strategic HR questions and help to establish HR policies;
manage day-to-day reporting for HR business partners, colleagues in HR who design policies, managers and other stakeholders;
streamline, digitalise and automate processes, for example by developing analytical and business intelligence applications and supporting IT projects;
help to upskill colleagues on topics such as analytics and statistics and update management activities such as software training.

This position offers you excellent opportunities to expand your analytics and data science knowledge through hands-on problem-solving in a newly created business function.