Statistician – Development Finance

The OECD Development Co-operation Directorate (DCD) seeks an experienced Statistician to contribute to the Creditor Reporting System (CRS) data on financial resources for developing countries supporting the 2030 Agenda and SDGs. The role involves improving data presentation and analysis, developing data management procedures, and conducting analysis on development co-operation statistics.

Responsibilities

• Contribute to the drafting of documents, presentations, reports, and web products containing statistical data.
• Prepare high quality accurate data and statistics for working papers and publications, including the OECD Development Co-operation Report.
• Contribute to methodological work on development finance statistics, particularly on ODA eligibility assessments.
• Contribute to the development of innovative data frameworks that include automated data management processes, data exchange and validation with a large group of participating institutions, and data accessibility to the public.
• Contribute to the production and maintenance of development finance datasets published by the DCD.
• Improve the presentation of development finance statistics by preparing graphs, tables, maps, and developing dynamic dashboards and other data visualisation tools.
• Contribute to the organisation of meetings and workshops and capacity-building events on ODA reporting.
• Prepare presentations and briefing materials as required.
• Provide communication support to the Division teams on key messages and story-telling in the area of development finance.
• Contribute to joint projects and activities with other sections of DCD, the OECD or other key partners.
• Carry out other related duties, as assigned.
• Support data analysis and visualisation for the DAC Review, as requested.

Requirements

• An advanced university degree in economics, statistics, mathematics, data science or related discipline.
• At least 2 years of relevant experience in a national and/or multilateral institution working on large datasets, ideally on development finance.
• Good understanding of development finance and the principles and concepts underlying the recording of international financial flows.
• Experience in drafting documents based on quantitative data analysis.
• Strong technical skills in data handling and validation.
• Proven ability to prepare material for publication ensuring a strong attention to detail and the ability to produce effective communication materials targeted to different audiences.
• Experience in the use of database software and the ability to quickly learn the standard range of software packages used in the Organisation.
• Strong knowledge of Structured Query Language (SQL).
• Knowledge of other statistical/programming software applications would be an advantage (e.g. R, Python).
• Proficient knowledge of data visualisation software (e.g. Flourish) with experience in creating a wide range of data visualisations (from simple charts to complex dashboards).
• Acquaintance of other online data visualisation tools would be an advantage.
• Fluency in one of the two OECD official languages (English and French) and good knowledge of the other, with a commitment to reach a very good working level.
• Good knowledge of other languages (e.g. Spanish) would be an advantage.

Skills

• Development Finance
• Quantitative Analysis
• Data Handling
• Data Validation
• Document Drafting
• Database Software
• Structured Query Language
• SQL
• Statistical Software Stata
• R Programming
• Python Programming
• Data Visualization
• Flourish
• Data Management Procedures
• Publication Preparation
• Economic Statistics
• Mathematics
• Data Science

Languages

English, French, Spanish