Modeller - Metadata PAL5
OECD
Full-time
On-site
Paris Île-de-France France
Company Description
The Organisation for Economic Co-operation and Development (OECD) is an international organisation comprised of 38 member countries, that works to build better policies for better lives. Our mission is to promote policies that will improve the economic and social well-being of people around the world. Together with governments, policy makers and citizens, we work on establishing evidence-based international standards, and finding solutions to a range of social, economic and environmental challenges. From improving economic performance and creating jobs to fostering strong education and fighting international tax evasion, we provide a unique forum and knowledge hub for data and analysis, exchange of experiences, best-practice sharing, and advice on public policies and international standard-setting.
The Statistics and Data Directorate (SDD) (www.oecd.org/sdd) provides statistics and data on a comparable basis and from a variety of sources to analysts, policy makers and members of civil society. SDD also develops new metrics and innovative digital tools to address emerging policy issues, leads the development of international statistical standards, advances statistical methodology and co-ordinates statistical and data-related activities within the Organisation and with other international organisations.
Within SDD, the Smart Data Practices and Solutions Division (SDPS) is looking for a data and metadata modeller profile to take over the responsibility of assisting Members and Partners (national statistical offices and other partner institutions) in filling critical gaps in their data workflows and systems. The selected candidate will work in a diverse team with a LEAN/Agile, continuous improvement focus, and an ambition to promote best practices for a wide range of colleagues and partners. The selected candidate will report to the Head of the Modelling and Dissemination team.
Job Description
Main Responsibilities
Data modelling development and improvement
Analyse data models, contrast them with statistical and technical guidelines (SDMX and others);
Develop and draft modelling methodology notes for non-experts;
Propose models that fit; author SDMX artefacts to represent structures and data accordingly;
With third-party partner organisations (typically, national statistics offices), carry out analysis, design training and support activities in data modelling, either as part of a team or autonomously.
Engage with the 100+ OECD data producer teams and various external statistical partners in the domains of data modelling best practices, SDMX adoption and data-warehousing, in bilateral projects or running campaigns for broader up-skilling or best practice adoption.
Data Platform quality assurance
Contribute to implementing innovative methods for collecting and structuring diverse types of data, e.g. web scraping, data crawling and batch processing;
Contribute to developing the framework for automated reshaping of multiple data sources into easily usable formats and structures;
In consultation with other team members and project managers, participate in the definition of systems, database architecture and structure, user interfaces, workflows, and control processes. Create and work on demonstration environments, proofs of concept, and prototypes.
Test new releases of the .Stat Suite at the OECD, animate the data-producer testing process, and interface with the teams that ensure maintenance and monitoring of .Stat Suite for smooth roll-outs, and assist with diagnostics and troubleshooting when modelling competences are required.
Communication and Collaboration
Draft or review functional specifications; analyse, document, develop, test, deploy and maintain optimised, secure, open-source and closed-source statistics and data solutions;
Mediate between data-producers and solutions developers or IT infrastructure providers;
Work in close collaboration with other teams to ensure the successful and efficient delivery of solutions;
Provide advanced solution support and diagnostics, as well as technical community support;
Provide regular reporting as required.
Qualifications
Ideal Candidate Profile
Academic Background
An advanced university degree in statistics, mathematics, computer science, economics or in a related field.
Professional Background
A minimum of 5 years' professional experience, ideally in database modelling, information modelling, classification or metadata management.
Proven experience with standards, classifications, taxonomies, and ontologies.
Proven experience working with statistical subject matter experts in analysing, modelling, interpreting statistics and data more broadly.
Experience with speaking to groups at conferences and presenting ideas concisely to expert audiences would be an asset.
Experience with designing and executing capacity building or training activities would be an asset.
Experience with modern programming languages, application development, systems, and development methodologies.
Tools
Familiarity with Statistical Data and Metadata eXchange (SDMX) standard with a commitment to reaching a good working level. Alternatively, a good data modelling background outside of the statistical context, for example as part of data-warehousing / BI projects.
Git version control and workflows, including devops components (in particular, Gitlab).
Programming languages: Python and R; other scripting languages would be an asset, in particular VBS, PowerShell.
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 2); Enable People (Level 1); Ethics and Integrity (Level 2); Collaboration and Horizontality (Level 2); Achieve Results (Level 2); Innovate and Embrace Change (Level 2).
To learn more about the definitions for each competency, please refer to OECD Core Competencies.
Languages
Fluency in one of the two OECD official languages (English and French) and knowledge of, or a willingness to learn, the other.
Additional Information
Closing Date
This vacancy should be filled as soon as possible, and applications should reach us no later than midnight 27 August 2025 (Paris time).
Contract Duration
Open-ended appointment, with no foreseen end date.
Ideal start date: as soon as possible.
What the OECD offers
Monthly salary starts at 6 852 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 OECD’s new contractual modalities.
Click here to learn more about what we offer and why the OECD is a great place to work.
Click here to 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.
Please note that the appointment may be made at one grade lower in the specified job family, based on the qualifications and professional experience of the selected applicant.
This vacancy may be used to create a pool of candidates for comparable positions, both for open-ended and fixed-term functions.
Selection Process
For retained candidates, tests and interviews are foreseen to take place in September 2025.
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 to improve its efficiency and effectiveness. Staff members are encouraged to actively contribute to this goal.
The Organisation for Economic Co-operation and Development (OECD) is an international organisation comprised of 38 member countries, that works to build better policies for better lives. Our mission is to promote policies that will improve the economic and social well-being of people around the world. Together with governments, policy makers and citizens, we work on establishing evidence-based international standards, and finding solutions to a range of social, economic and environmental challenges. From improving economic performance and creating jobs to fostering strong education and fighting international tax evasion, we provide a unique forum and knowledge hub for data and analysis, exchange of experiences, best-practice sharing, and advice on public policies and international standard-setting.
The Statistics and Data Directorate (SDD) (www.oecd.org/sdd) provides statistics and data on a comparable basis and from a variety of sources to analysts, policy makers and members of civil society. SDD also develops new metrics and innovative digital tools to address emerging policy issues, leads the development of international statistical standards, advances statistical methodology and co-ordinates statistical and data-related activities within the Organisation and with other international organisations.
Within SDD, the Smart Data Practices and Solutions Division (SDPS) is looking for a data and metadata modeller profile to take over the responsibility of assisting Members and Partners (national statistical offices and other partner institutions) in filling critical gaps in their data workflows and systems. The selected candidate will work in a diverse team with a LEAN/Agile, continuous improvement focus, and an ambition to promote best practices for a wide range of colleagues and partners. The selected candidate will report to the Head of the Modelling and Dissemination team.
Job Description
Main Responsibilities
Data modelling development and improvement
Analyse data models, contrast them with statistical and technical guidelines (SDMX and others);
Develop and draft modelling methodology notes for non-experts;
Propose models that fit; author SDMX artefacts to represent structures and data accordingly;
With third-party partner organisations (typically, national statistics offices), carry out analysis, design training and support activities in data modelling, either as part of a team or autonomously.
Engage with the 100+ OECD data producer teams and various external statistical partners in the domains of data modelling best practices, SDMX adoption and data-warehousing, in bilateral projects or running campaigns for broader up-skilling or best practice adoption.
Data Platform quality assurance
Contribute to implementing innovative methods for collecting and structuring diverse types of data, e.g. web scraping, data crawling and batch processing;
Contribute to developing the framework for automated reshaping of multiple data sources into easily usable formats and structures;
In consultation with other team members and project managers, participate in the definition of systems, database architecture and structure, user interfaces, workflows, and control processes. Create and work on demonstration environments, proofs of concept, and prototypes.
Test new releases of the .Stat Suite at the OECD, animate the data-producer testing process, and interface with the teams that ensure maintenance and monitoring of .Stat Suite for smooth roll-outs, and assist with diagnostics and troubleshooting when modelling competences are required.
Communication and Collaboration
Draft or review functional specifications; analyse, document, develop, test, deploy and maintain optimised, secure, open-source and closed-source statistics and data solutions;
Mediate between data-producers and solutions developers or IT infrastructure providers;
Work in close collaboration with other teams to ensure the successful and efficient delivery of solutions;
Provide advanced solution support and diagnostics, as well as technical community support;
Provide regular reporting as required.
Qualifications
Ideal Candidate Profile
Academic Background
An advanced university degree in statistics, mathematics, computer science, economics or in a related field.
Professional Background
A minimum of 5 years' professional experience, ideally in database modelling, information modelling, classification or metadata management.
Proven experience with standards, classifications, taxonomies, and ontologies.
Proven experience working with statistical subject matter experts in analysing, modelling, interpreting statistics and data more broadly.
Experience with speaking to groups at conferences and presenting ideas concisely to expert audiences would be an asset.
Experience with designing and executing capacity building or training activities would be an asset.
Experience with modern programming languages, application development, systems, and development methodologies.
Tools
Familiarity with Statistical Data and Metadata eXchange (SDMX) standard with a commitment to reaching a good working level. Alternatively, a good data modelling background outside of the statistical context, for example as part of data-warehousing / BI projects.
Git version control and workflows, including devops components (in particular, Gitlab).
Programming languages: Python and R; other scripting languages would be an asset, in particular VBS, PowerShell.
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 2); Enable People (Level 1); Ethics and Integrity (Level 2); Collaboration and Horizontality (Level 2); Achieve Results (Level 2); Innovate and Embrace Change (Level 2).
To learn more about the definitions for each competency, please refer to OECD Core Competencies.
Languages
Fluency in one of the two OECD official languages (English and French) and knowledge of, or a willingness to learn, the other.
Additional Information
Closing Date
This vacancy should be filled as soon as possible, and applications should reach us no later than midnight 27 August 2025 (Paris time).
Contract Duration
Open-ended appointment, with no foreseen end date.
Ideal start date: as soon as possible.
What the OECD offers
Monthly salary starts at 6 852 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 OECD’s new contractual modalities.
Click here to learn more about what we offer and why the OECD is a great place to work.
Click here to 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.
Please note that the appointment may be made at one grade lower in the specified job family, based on the qualifications and professional experience of the selected applicant.
This vacancy may be used to create a pool of candidates for comparable positions, both for open-ended and fixed-term functions.
Selection Process
For retained candidates, tests and interviews are foreseen to take place in September 2025.
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 to improve its efficiency and effectiveness. Staff members are encouraged to actively contribute to this goal.