Traineeship in Analytics and Business Intelligence - Frankfurt am Main, Deutschland - The European Central Bank
Beschreibung
General Information
Type of contract Traineeship
Who can apply? EU nationals eligible for our traineeship programme
Grant The trainee grant is €1,070 per month plus an accommodation allowance (see further information section)
Working time Full time
Place of work Frankfurt am Main, Germany
Closing date
Your team
- You will join the Governance and Transformation Services (GTS) Division, which acts as a cross functional service platform for more than 800 staff delivering internal services in the fields of administration, human resources, IT and finance.
The Division has more than 50 staff working in the areas of communication, service delivery/optimisation, quality management, financial management and vendor/service management.
Our mission is to transform working methods while fostering collaborative approaches with a focus on people, agility, learning and results.
You will be part of the GTS Digital Transformation team.This is a young, dynamic and collaborative team that delivers insight-driven analytics and automation support to colleagues across the ECB.
The team identifies opportunities to transform working methods using data analytics, robotic process automation and chatbots. It develops and implements solutions in close collaboration with a range of stakeholders and business partners.Your role
- As a trainee in the GTS Digital Transformation team, you will:
- identify and analyse business needs in order to produce data-driven insights;
- code and develop visualisation tools in the interests of efficient data analysis and the optimisation of processes;
- develop solutions with a view to improving the team's efficiency and effectiveness;
- plan, coordinate and execute tasks aimed at improving the management of data within the Division.
This position will offer excellent opportunities to develop new capabilities in the area of business analytics, hone your programming skills and devise innovative technological solutions, benefiting from unparalleled training and support.
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:
- knowledge of Python, R or another statistical programming language;
- knowledge of SQL or another relational database programming language;
- excellent analytical and conceptual skills, and an interest in complex technical content;
- the ability to present findings to a non-technical audience;
- the ability to plan and coordinate work independently and comply with tight deadlines;
- 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:
- knowledge of relational databases and experience of using analytical tools in Hadoop or similar big data frameworks;
- knowledge of agile delivery methods;
- experience of using Jira or other issue-tracking or project management software.
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
- Traineeship of between 3 and 12 months in total.
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.
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