Main Responsibilities
- Support the Head of the Data Development and Support Unit in EDC in the management of the Data Statistical Database Content Manager Group which is responsible for managing organizing and enhancing the organisations statistical content and metadata harmonization.
- Work with colleagues to ensure that all datasets are accurately harmonized with respect to structural characteristics (e.g. codelists) integrated in the DW and that those available for public dissemination are accessible on the relevant dissemination platform (.stat) with an appropriate metadata structure (SDMX).
- Close collaboration with the Information Systems Unit (ISU) to enhance robust data infrastructure as well as to codevelop data products that accelerate data quality assurance and the transformation of raw data into actionable insights.
- Ensure data consistency quality and ease of access across various teams within the IEA and external stakeholders.
- Serve as the primary contact point for interactions between the IEA and the SISCC community (responsible for management of the .STAT platform in order to ensure that the IEA is able to exploit and potentially contribute to developments in the platform.
- Responsible for the maintenance and updating of a calendar that tracks data publication schedules. This calendar will help keep stakeholders informed about upcoming data releases ensuring that they are aware of any new datasets ingested into the Data Warehouse and any related updates.
- Report to the Committee on Energy Statistics for any significant developments in the IEAs data products and governance corresponding metadata structure methodologies processes and dissemination tools
- Develop and maintain the enterprise catalog of statistical and analytical datasets.
- Document data structures transformations lineage and assumptions.
- Collaborate with data science and analytics teams to ensure data content supports reproducible and explainable analysis.
- Define and enforce metadata standards naming conventions and usage guidelines.
- Support data governance processes including data quality assessments and access controls.
- Serve as a subject matter expert on the content and context of key datasets used for modelling forecasting and policy analysis.
- Assist with onboarding and training analysts and data scientists on data assets and best practices
Qualifications :
Ideal Candidate Profile
Academic Background
- A university degree in a relevant area such as information management (energy) statistics or in other relevant areas.
Professional Background
- At least 5 years professional experience in data processing and management.
- Experience with project management involving colleagues with disparate professional roles and responsibilities.
- Proven ability to multitask work autonomously and manage multiple complex projects successfully.
- Strong background in statistics data science or a related analytical discipline.
- Proficiency and experience working with structured data databases and SQL.
- Excellent communication skills with the ability to write clear concise technical documentation.
- Understanding of data governance principles
Tools
- Experience working with a coding language (e.g Python)
- Familiarity with statistical and metadata standards such as SDMX
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 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).
- There are three possible levels for each competency. The level for each competency is determined according to the specific needs of each job role and its associated grade.
- To learn more about the definitions for each competency for levels 13 please refer to OECD Core Competencies.
Languages
- Excellent knowledge of written and spoken English; working knowledge of other languages would be an advantage.
Additional Information :
Closing Date
- This vacancy should be filled as soon as possible and applications should reach us no later than midnight 28 May 2025 (Paris time).
Contract Duration
This vacancy will be used to fill multiple positions. 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.
What the OECD offers
Selection Process
For retained candidates the selection process may include a videorecorded interview jobbased 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 :
Fulltime