Data Analyst on Short-term Indicators

OECD; Paris; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

An international organization in Paris is seeking a Data Analyst to contribute to the analysis of short-term indicators. The ideal candidate should possess an advanced degree in a related field and have a minimum of two years' experience in relevant statistics. Key responsibilities include updating databases and developing communication materials. Proficiency in programming languages like Python and R is essential, along with excellent data visualization skills and fluency in English and French. This is a full-time position with a competitive salary package.

Prestations

Monthly salary starts at 5902 EUR plus allowances

Qualifications

• At least two years of relevant experience in production of policy-relevant statistics.
• Good knowledge of literature on business cycles.
• Experience in econometrics/machine learning analysis.

Responsabilités

• Contribute to the work of the team on short-term indicators.
• Update databases maintained by the short-term team.
• Develop tools and communication materials to disseminate data.

Connaissances

Data Analytics

Data Visualization

Python

R

SQL

Microsoft Office

Power BI

Formation

Advanced university degree in statistics, econometrics, economics or related field

Outils

RShiny

OECD Chart Builder

Microsoft Access

Tableau

SAS

Description du poste

Main Responsibilities

Contribute to the work of the team on short-term indicators and the TPS division.

• Contribute to the revamping of the Composite Leading Indicators (CLIs) including identifying and implementing changes to the methodology and setting up an automatic process for regular updates of the CLIs.
• Update databases maintained by the short-term team including financial and monetary statistics business and consumer tendency surveys and real economic indicators.
• Contribute to the re-engineering of the data factory aiming at modernising the data collection as appropriate.
• Keep abreast on the literature on business cycles and seasonal adjustments.
• Update the Dashboard of short-term indicators and associated communication as appropriate.
• Contribute to the development of tools products presentations and other communication materials to disseminate data indicators and analytical results.

Communication liaison and other duties

• Liaise with countries, other international organisations and other experts in the OECD and act as a focal point for countries on the maintenance, updating and further development of relevant databases.
• Represent the OECD in international meetings, attend webinars and internal meetings to present OECD work and share insights.
• Contribute to the organisation of technical workshops.
• Contribute to other data-related or analytical projects that may arise within the biennium.

Qualifications

Ideal Candidate Profile

Academic Background

• An advanced university degree or equivalent qualification in statistics, econometrics, economics or a related field. A PhD would be an advantage.

Professional Background

• At least two years of relevant experience in working in the production of policy-relevant statistics or in undertaking in-depth empirical analysis gained in national administration, research organisation and / or international organisation.
• Good knowledge of the literature on business cycles.
• Experience in undertaking econometrics / machine learning analysis and in developing appropriate analysis to strengthen the evidence base. Experience in web‑scraping or network analysis would also be an asset.
• Excellent drafting skills.
• Experience with data visualisation and in summarising complex datasets to communicate key messages to non‑expert audiences would be an advantage.

Tools

• Excellent programming skills (e.g. Python and R).
• Excellent knowledge of Microsoft Office (Excel, Word, Powerpoint).
• Good knowledge of visualisation tools (Power BI, RShiny, OECD Chart Builder) would be an advantage.

Additional Information

Core Competencies

• OECD staff are expected to demonstrate behaviours aligned to six core competencies which will be assessed as part of this hiring process: Vision and Strategy (Level 1); Enable People (Level 1); Ethics and Integrity (Level 1); Collaboration and Horizontality (Level 2); 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.

Closing Date

• This vacancy should be filled as soon as possible and applications should reach us no later than midnight 31 October 2025 (Paris time).

Contract Duration

• 12‑month fixed‑term appointment with the possibility of renewal to a maximum of 36 months.

What the OECD offers

• Monthly salary starts at 5902 EUR plus allowances based on eligibility exempt of French income tax.
• Please note that from 1 July 2025 all official appointments will be made under the OECD’s new contractual modalities.
• 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 the selection process may include a video‑recorded interview, job‑based assessment and panel interviews.

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

Key Skills

Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics

Experience: years
Vacancy: 1