General Information
Type of contract
Fixed-term contract, which may be extended subject to individual performance and organisational needs
Who can apply?
EU nationals
Salary
E/F (bracket 1 - step 1) full time monthly net salary: €4,611 plus benefits, for further information see
what we offer.
Role specialisation
Data Science, Datasets and Statistics
Working time
Full time
Place of work
Frankfurt am Main, Germany
Closing date
15.08.2021
Your team
You will be part of the Directorate General Statistics (DG/S), which has more than 250 staff members. DG/S develops, collects, compiles and disseminates data, master data, statistics, statistical indicators and metadata, and provides related user support services required for monetary policy, banking supervision, and the other ECB and ESCB tasks, as well as for the support of the European Systemic Risk Board. It thereby defines the concepts and methods and determines the master data for entities and transactions. Moreover, it develops and manages statistical applications and tools, databases and processes to collect, manage, compile, disseminate and exchange data. It contributes in all fields to European and international standards related to statistics and data. Its organisational structure consists of six divisions and one independent section that reports directly to the Director General.
In your role as Data Science Analyst, you will be part of the Publication and Visualisations team in the Statistical Applications Section. The team is responsible for maintaining, improving and developing statistical publications and data visualisations. As part of the DG/S communication strategy, the team is currently engaged in the implementation of the new ECB data portal and the design of interactive publications and attractive visualisations. In this role, you will work closely with statisticians, IT experts and communication experts.
In your role as Research Analyst, you will be part of the Monetary Statistics Section. You will contribute to the analysis, compilation and development of indicators based on balance sheet and interest rate data from monetary financial institutions (MFIs). Those indicators are used as an input for the monetary policy of the ECB.
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 Data Science Analyst in the Statistical Applications Section you will:
- contribute to the smooth functioning, maintenance and development of the DG/S publication processes, including programmes, the definition and design of business processes, data reporting and quality controls, in close collaboration with relevant counterparts;
- contribute to the design and implementation of new interactive publications, dashboards and visualisation tools, as well as to the design and implementation of the new ECB external data portal;
- cooperate with experts from various business areas on the maintenance, development, implementation and testing of the DG/S statistical applications;
- participate in international meetings and deliver presentations on behalf of the Statistical Applications and Tools Division on subjects related to data management, data dissemination, statistical applications and standards developed to support these processes;
- participate in project-related tasks as part of a project team;
- provide end-user support, recommendations and best practices for visualising data for analytical and publication purposes.
As a Research Analyst in the Monetary Statistics Section you will:
- perform the central compilation and dissemination of euro area statistics based on country data;
- contribute to the production of statistics by analysing MFI data reported by national central banks;
- update and further develop tools used in the quality assessment and visualisation of data;
- provide services to users in the Directorate General Monetary Policy, namely by replying to queries and producing tables, charts and dashboards;
- handle queries from other users.
The positions offer you excellent opportunities to contribute to compiling and developing statistical indicators for policymaking in a leading central bank, and to participate in the modernisation of its publication and visualisation tools. 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 in statistics, economics, mathematics, engineering, computer science or another relevant field (click here for details on degree equivalences);
- experience in database technologies, data management and time series analysis tools, as well as modern statistical programming practices, using programming languages such as FAME, SQL, SAS, R, Python, .Net, Perl, Stata, Matlab, etc.;
- experience in preparing charts, tables, dashboards and other visualisations of economic and financial data using tools such as Tableau, R/RShiny, Python, FAME, SAS, QlikView, etc.;
- good drafting and presentation skills, and the ability to present complex issues in a concise and clear manner to non-specialist audiences both orally and in writing;
- analytical and quantitative skills, and the ability to define statistical concepts, procedures and methodologies and apply them to large-scale databases;
- 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:
- a master’s degree and/or additional relevant experience in the fields mentioned above would be considered an asset;
- experience in defining the processes and developing tools for the preparation of press releases and official statistical publications;
- experience in coordinating the publication of press releases and statistical publications in collaboration with data producers;
- familiarity with publication technology based on FAME.
You engage collaboratively with others. You pursue team goals and learn willingly from other people’s diverse perspectives. You signal any need for change by explaining it and proposing alternative solutions. You analyse complex information effectively and can evaluate different views to arrive at solutions. You know and anticipate stakeholder needs.
You are motivated to be part of our team and to develop and use your skills and competencies to achieve the objectives of this position.
Working modalities
To enable the Section to maintain its business continuity capability, you will occasionally be expected to perform work during non-standard working hours and work at the ECB’s standby sites.
Further information
The contract end date will be 31 December 2022 for the Data Science Analyst position and 31 March 2023 for the Research Analyst position. Additional similar positions may become available over the coming months within both the Monetary and Economic Statistics Division and the Statistical Applications and Tools Division.
Temporary appointments may be extended or made permanent subject to organisational needs and budgetary constraints. This may result in a staff member with a non-convertible fixed-term contract being offered a convertible contract in accordance with the ECB Conditions of Employment.
For additional information on these specific vacancies, you can speak to one of the hiring managers, Juan Alberto Sánchez, on +49 (0)69 1344 7917.
Application and selection process
For further information on how to join us,
read more.
As part of the application material you will be required to complete an exercise. Your results for this exercise will need to be submitted as a single page PDF document.
The recruitment process for this position will be conducted remotely. It will include a written exercise, a presentation and an interview. These are expected to take place in September 2021 at the earliest.
