Statisticians-Data analysts

Main Responsibilities

Data collection and dataset management

• Gather data from OECD member and non-member countries develop and implement innovative and efficient approaches to data collection including the use of digital data sources automated data collection and data transfer solutions and AI-assisted methods where appropriate.
• Convert national data collected from countries into specific OECD formats including data manipulation and various other analytical calculations using efficient reproducible and increasingly automated data-processing workflows.
• Verify the accuracy coherence quality and internal consistency of the data and metadata using appropriate validation procedures automated quality checks and other modern data-quality tools.
• Manage statistical databases covering the range of statistical activities relevant to the work area ensuring that data are well structured documented accessible and fit for analytical and dissemination purposes.
• Update and maintain the international comparability of data including methodological changes (e.g. when new international definitions are introduced) and research new data and data sources to expand the database coverage including non-traditional and emerging sources where relevant.
• Build and maintain contacts with statistical staff in national and other international statistical agencies with a view to improving data coverage relevance and availability of methodological information data transfer and timeliness.
• Keep abreast of the work of other international and national organisations (e.g. UN Eurostat the World Bank) on topics relevant to the Departments statistical work as well as developments in statistical standards data technologies and emerging sources of data.

Analysis methodology drafting documentation and presentation

• Use advanced and innovative statistical and analytical methods to analyse data with the objective of reporting on the main findings using individual country level or cross-country data.
• Participate in the drafting and production of statistical and analytical publications and/or reports.
• Develop clear accurate and compelling charts to communicate statistical findings and analytical results effectively to technical and non-technical audiences and present complex data in an accessible and policy-relevant manner.
• Contribute to improving the design of questionnaires in order to extend data coverage enhance their relevance and improve the availability of methodological information data transfer and timeliness including by considering opportunities for digital data collection and alternative sources of information.
• Develop suitable data solutions to support ECOs policy research and economic analysis including integrated datasets analytical tools and reproducible data pipelines where appropriate.
• Respond to the changing needs of users by contributing to statistical development work.
• Develop and maintain clear documentation on work procedures covering all aspects of the production cycle and all aspects of the national data (e.g. methodologies)

IT work and other tasks

• Develop and adapt computer programmes and procedures in a variety of statistical packages (e.g. R Python or STATA and other appropriate data-processing and analytical tools).
• Develop maintain and improve reproducible and automated workflows for data collection processing validation analysis and dissemination making effective use of modern programming and data-management technologies.
• Assist in the preparation of data files used in the dissemination of data (e.g. OECD Data Explorer CSV) and in establishing the layout of documents and publications.
• Carry out statistical work in support of the wider analytical work of the directorate.

Qualifications :

Academic Background

• Advanced university degree or equivalent preferably in statistics economics mathematics engineering or a scientific field and a good knowledge of statistical databases and information technology (including basic programming).

Professional Background

• Experience in the production and/or use of statistics including documentation on sources definitions coverage methodology reliability and comparability gained in an international or national statistical office.
• Experience in the analysis of complex macro-and micro-level datasets and/or knowledge of other key areas of work such as trade health energy education environment national accounts transport or other key areas of OECD work would be an advantage.
• Experience in statistical concepts and in presenting statistical analysis to non-technical audiences.
• Experience in applied econometric techniques would be an asset.

Tools

• Excellent command of Microsoft Office software especially Excel (including macros and pivot tables).
• Good command of R Python and STATA is highly desirable. Proficiency in MatLab would also be welcome and knowledge of other programming language such as Eviews and VBA would also be useful.
• Experience using AI tools for research and programming is desirable.
• Good knowledge of large statistical databases and practical experience with statistical software to manage those databases. Solid experience working with private-sector databases (e.g. Thomson Reuters Bloomberg CEIC) and database design would be an advantage.

Core Competencies

• OECD staff are expected to demonstrate behaviours aligned to six core competencies which will be assessed as part of this hiring processes: Vision and Strategy (Level 1); Enable People (Level 1); Ethics and Integrity (Level 1); Collaboration and Horizontality (Level 1); Achieve Results (Level 2); Innovate and Embrace Change (Level 2).
• To learn more about the definitions for each competency for levels 1-3 please refer to OECD Core Competencies.

Languages

• Fluency in one of the two OECD official languages (English and French) and knowledge of the other with a commitment to reach a good working level.
• Knowledge of other languages would be an asset.

Additional Information :

Closing Date

• This vacancy should be filled as soon as possible and applications should reach us no later than23:59 on 20 October 2026 (CEST). 

Contract Duration

• This vacancy may be used to create a pool of candidates for comparable positions both for open-ended and fixed-term functions. The appointment type will be determined based on the needs of the Directorate and will be confirmed when an offer of employment is made to the selected candidate.
• Please note that in accordance with the OECDs Staff Regulations Rules and Instructions the mandatory retirement age is 67.

What the OECD offers

• Monthly salary starts at 5 279 EUR plus allowances based on eligibility exempt of French income tax. 
• Click here to consult the Staff Regulations applicable to officials of the OECD. Please note that from 1 July 2025 all Official appointments will be made under the OECDs new contractual modalities. 
• Click hereto learn more about what we offer and why the OECD is a great place to work. 
• Click hereto browse our People Management Guidebook and learn more about all aspects relating to people at the OECD our workplace environment and many other policies supporting staff in their daily life. 

Selection Process

• For retained candidates the selection process may include a video-recorded interview job-based assessment and panel interviews.
• Candidates may be considered suitable (cleared) at the advertised grade or at a lower grade based on their qualifications and professional experience.
• This vacancy will be used to fill multiple positions. Please note that the appointment may be made at one grade below their clearance level based on business needs.

The OECD is an equal opportunity employer and welcomes the applications of all qualified candidates who are nationals of OECD member countries irrespective of their racial or ethnic origin opinions or beliefs gender sexual orientation health or disabilities.

The OECD promotes an optimal use of resources in order to improve its efficiency and effectiveness. Staff members are encouraged to actively contribute to this goal.

Remote Work :

No

Employment Type :

Full-time