Data Applications Analyst
- Develop and maintain R packages and other analytical tools, ensuring robust, test-driven code quality and facilitating open-source collaboration. In particular, maintain and develop the Department's multi-user Forecast Entry system, which is the main tool underlying the Economic Outlook forecasts.
- Coordinate cross-functional collaboration with internal stakeholders, including statisticians, economists, and IT experts, to align technical solutions with organizational data strategies and policy objectives.
- Provide proactive and responsive user support, addressing complex queries and resolving incidents to ensure uninterrupted access to mission-critical applications and services.
- Design, implement, and maintain data warehousing systems, including the automation of data ingestion pipelines and scheduled updates for real-time and longitudinal datasets.
- Support the configuration, deployment, and ongoing maintenance of database applications and custom software tools, ensuring scalability, sustainability, and compliance with security protocols.
- Ensure strict adherence to the OECD's information security and data protection policies, including the implementation of access controls, secure data storage, and compliance with cybersecurity best practices.
- Lead procurement processes, including the preparation of technical specifications, selection of external vendors, and management of contracts in line with OECD procurement rules and procedures.
- Negotiate and monitor project budgets, ensuring cost-effective use of resources while maintaining alignment with strategic priorities and timelines.
- Facilitate client engagement and requirement gathering through meetings, workshops, and training sessions, translating technical needs into actionable project plans.
- Champion innovation and digital transformation, exploring and implementing emerging technologies (e.g., Artificial Intelligence, Big Data tools like Google Trends) to enhance statistical processes.
- Apply domain knowledge in statistics and economics to engage constructively with senior policy analysts and economists, ensuring solutions meet substantive research and analytical needs.
- Support knowledge sharing and capacity-building through internal and external training initiatives, including documentation, seminars, and learning modules.
- Prepare, synthesize, and present ECO's analytical work and data applications to internal and external stakeholders, ensuring complex information is conveyed clearly and effectively to diverse audiences to ensure accessibility, clarity and impact.
- Advanced university degree in Computer Science, Data Science, Information Systems, Statistics, Economics, or a related field.
- Proven experience in managing complex IT and data projects, including supervision of multidisciplinary teams and collaboration with external vendors.
- Demonstrated ability to lead procurement and vendor selection processes, and to manage budgets in accordance with international organizational standards.
- Experience in international or multilateral settings, particularly in supporting policy work through data and technology.
- Strong analytical and problem-solving capabilities.
- Excellent communication and stakeholder engagement skills, with the ability to translate technical concepts into strategic insights to diverse audiences
- Demonstrated leadership skills, including the ability to motivate and manage diverse technical teams.
- Strong interpersonal skills, including diplomacy and cultural sensitivity, essential for working in a multicultural, international environment.
- Ability to work independently and collaboratively across multiple projects and time zones.
- Strong communication skills, with experience conveying technical or complex information in an engaging and understandable manner.
- Proficiency in programming languages such as R, Python, SQL, and VBA; strong experience with open-source version control tools such as Git.
- Familiarity with international data standards and formats (e.g., SDMX).
- Knowledge of data engineering principles, including ETL processes, data pipelines, and quality control mechanisms.
- Understanding of cybersecurity principles and secure software development practices.
- 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). (The levels for each competency are pre-defined based on job family, grade and sub-family. Refer to the NEP Job Mapping Index, select the Job family then sub-family and click on the grade to identify the relevant competencies.)
- To learn more about the definitions for each competency for levels 1-3, please refer to OECD Core Competencies.
- 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.
- This vacancy should be filled as soon as possible, and applications should reach us no later than midnight 24 September 2025 (Paris time).
- 24 month fixed-term appointment, with the possibility of renewal to a maximum of 36 months.
- Monthly salary starts at 7 955.19 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.
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