StatisticianData Analyst Input-Output research and greenhouse gas GHG footprints
StatisticianData Analyst Input-Output research and greenhouse gas GHG footprints
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Job Description
Main Responsibilities
Database construction Indicator development and analysis
- Contribute to the development and update of GHG footprint indicators including supporting work to improve the underlying estimates of GHG emissions by economic activity.
- Support the production and quality control of the ICIO tables.
- Contribute to related documentation outlining sources and methods and develop metadata outlining sources used estimation methods applied and explaining any apparent divergences from national statistics.
- Contribute to efforts to extend analyses to levels of industry/product detail beyond that currently available in the ICIO tables (i.e. by applying disaggregation techniques) as required. In particular breakdowns to improve measures of embodied GHG emissions and other environmental analyses such as more detail for the agriculture and mining sectors and splitting the Basic Metals sector to separate Iron and Steel from Nonferrous metals.
Liaison representation and dissemination
- Provide user support and represent the OECD at conferences workshops and seminars as required.
Qualifications :
Ideal Candidate Profile
Academic Background
- An advanced university degree in economics or statistics with strong emphasis on quantitative analyses.
Professional Background
- At least two years relevant professional experience in carrying out statistical work and quantitative analyses relevant for the development and use of national or global InputOutput tables (IOTs) and related policy analysis.
- Very good knowledge of national and international GHG emissions statistics including concepts and definitions would be an advantage.
- Proven experience in the production and use of statistics including documentation on data sources definitions coverage methodology reliability and comparability gained in a national or international organisation.
- Experience in presenting statistical analysis to nontechnical audiences would be an asset.
- Experience in contributing to multidisciplinary projects.
Tools
- Advanced programming skills with at least one software used for statistical analysis (e.g. R Python or Stata).
- Very good knowledge of the latest quantitative methods for constructing national Supply and Use Tables (SUTs) and IOTs and performing related IO analysis.
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.
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.
Additional Information :
Contract Duration
- 13month fixed term appointment with the possibility of renewal.
Closing Date
This vacancy will be filled as soon as possible and applications should reach us no later than Sunday 5 January 2025 23h59 Paris time.
Please note that our Rules and Regulations stipulate that the mandatory retirement age is 67.
- Depending on level of experience monthly salary starts at 5741 EUR plus allowances based on eligibility exempt of French income tax.
- 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.
The OECD is an equal opportunity employer and welcomes applications from 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. Our selection processes are meritbased; we strive to enhance diversity both from national and gender perspectives while running fair transparent and competitive selection processes.
The OECD promotes an optimal use of resources to improve its efficiency and effectiveness. Staff members are encouraged to actively contribute to this goal.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
