{"id":1533263,"url":"https://alion.io/job/oecd-statisticians-data-analysts","title":"Statisticians-Data analysts","company":{"id":4397,"name":"OECD","domain":"oecd.org","url":"https://alion.io/company/oecd","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":5279,"max":null,"currency":"EUR","period":"month","gross":null,"usd_annual":71976},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Microsoft Office","optional":false},{"name":"Python","optional":false},{"name":"Stata","optional":false},{"name":"MATLAB","optional":true}],"status":"live","first_seen_at":"2026-09-29T15:37:31Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-09-30T17:12:26Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"The Organisation for Economic Co-operation and Development (OECD) is an international organisation comprised of 38 member countries, whose mission is to build better policies for better lives. We 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 to establish evidence-based international standards, and finding solutions to a broad range of social, economic and environmental challenges, from the improvement of 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.\nThe Economics Department (ECO) leads co-ordinated, innovative, international action with respect to the OECD’s work on economic policy, both international and domestic. The Department implements the priorities of the Programme of Work and Budget (PWB) set by Member Countries and the Secretary-General in its area of business.\nThe Economics Department aims at enhancing economic performance in Member and non-Member countries through sound and innovative policy advice with a view to seeking an inclusive and durable increase in living standards. It deals with a wide array of policy areas combining macro-economic management, with a strong emphasis on structural policy issues to address policy objectives covering material well-being, social concerns and green aspirations. Its policy advice is derived from a variety of sources such as country surveillance, cross-country benchmarking and evidence derived from empirical research. Much of the Economics Department’s policy analysis and advice is provided as input to committee-based peer review and multilateral surveillance processes and contributes to the overall OECD mission. The Economics Department interacts with several other OECD directorates working in specific policy fields.\nThe Economics Department is launching a pooled recruitment campaign for Statisticians to cover the full cycle of statistical activities from data collection, data management and analysis, to data dissemination for specific statistical subject matters.\n Main Responsibilities\nData collection and dataset management\nGather 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.\nConvert 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.\nVerify 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.\nManage 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.\nUpdate 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.\nBuild 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.\nKeep abreast of the work of other international and national organisations (e.g. UN, Eurostat, the World Bank) on topics relevant to the Department’s statistical work, as well as developments in statistical standards, data technologies and emerging sources of data.\nAnalysis, methodology, drafting, documentation and presentation\nUse 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.\nParticipate in the drafting and production of statistical and analytical publications and/or reports.\nDevelop 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.\nContribute 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.\nDevelop suitable data solutions to support ECO’s policy research and economic analysis, including integrated datasets, analytical tools and reproducible data pipelines where appropriate.\nRespond to the changing needs of users by contributing to statistical development work.\nDevelop and maintain clear documentation on work procedures covering all aspects of the production cycle and all aspects of the national data (e.g. methodologies)\nIT work and other tasks\nDevelop 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).\nDevelop, 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.\nAssist 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.\nCarry out statistical work in support of the wider analytical work of the directorate.\n Academic Background\nAdvanced 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).\nProfessional Background\nExperience 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.\nExperience 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.\nExperience in statistical concepts and in presenting statistical analysis to non-technical audiences.\nExperience in applied econometric techniques would be an asset.\nTools\nExcellent command of Microsoft Office software, especially Excel (including macros and pivot tables).\nGood 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.\nExperience using AI tools for research and programming is desirable.\nGood 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.\nCore Competencies\nOECD 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).\nTo learn more about the definitions for each competency for levels 1-3, please refer to OECD Core Competencies.\nLanguages\nFluency 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.\nKnowledge of other languages would be an asset. \n Closing Date\nThis vacancy should be filled as soon as possible, and applications should reach us no later than 23:59 on 20 October 2026 (CEST). \nContract Duration \nThis 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.\nPlease note that, in accordance with the OECD’s Staff Regulations, Rules and Instructions, the mandatory retirement age is 67.\nWhat the OECD offers\nMonthly salary starts at 5 279 EUR, plus allowances based on eligibility, exempt of French income tax. \nClick 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. \nClick here to learn more about what we offer and why the OECD is a great place to work. \nClick 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. \nSelection Process\nFor retained candidates, the selection process may include a video-recorded interview, job-based assessment and panel interviews.\nCandidates may be considered suitable (“cleared”) at the advertised grade or at a lower grade, based on their qualifications and professional experience.\nThis 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.\nThe 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.\nThe OECD promotes an optimal use of resources in order to improve its efficiency and effectiveness. 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