PAL 6 â Data Ecosystem Policy Analyst â Development Data
PAL 6 â Data Ecosystem Policy Analyst â Development Data
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Salary Not Disclosed
1 Vacancy
Job Description
SDD/PARIS21 is looking for a Data Ecosystem Policy Analyst Development Data to lead and shape policy work in the area of development data. The selected candidate will coordinate initiatives that support the use of high-quality inclusive and innovative data for development working with national and international stakeholders to promote stronger data ecosystems.
Leadership and Team Management
- Lead and manage the Data Ecosystem Team: set goals supervise implementation monitor progress and conduct performance reviews.
- Serve as a member of the PARIS21 Team Leads Group contributing to strategic direction programme development resource management and external engagement.
Policy and Technical Work
- Design and lead programmes that support the development and use of data ecosystems in low- and middle-income countries.
- Provide policy guidance on topics such as data governance statistical capacity data partnerships and innovation in data.
- Ensure that transversal themes (e.g. gender equality climate change digitalisation) are adequately reflected in project design and implementation.
- Support the integration of development data in national strategies (e.g. NSDSs) SDG monitoring frameworks and national planning tools.
- Translate data into actionable policy or make it contribute to policy reforms.
- Create and develop models and frameworks to palliate gaps (e.g. in data ecosystems governance or innovation).
Outreach and Advocacy
- Represent PARIS21 in international fora (e.g. UN Statistical Commission World Data Forum).
- Contribute to fundraising efforts donor relations and the expansion of partnerships.
- Promote data for development through leadership events and communication outputs.
Analytical Work
- Draft and oversee high-quality reports policy briefs presentations and talking points.
- Contribute to evidence-based analysis and knowledge sharing on effective use of data in development contexts.
- Coordinate with consultants and partners in producing knowledge products and delivering technical assistance.
Qualifications :
Academic Background
- Advanced university degree in statistics development economics public policy data science or related disciplines.
Professional Background
- At least five years of relevant experience working on development policy and data systems in low- and middle-income countries.
- Strong understanding of data for development including statistical systems data use and institutional capacity building.
- Field experience in developing countries and/or experience with donor-supported data initiatives is highly desirable.
- Proven leadership and project management skills including experience managing teams in multicultural settings.
- Strong stakeholder engagement skills including coordination with governments civil society donors and multilateral institutions.
- Experience with gender data climate data artificial intelligence or digital innovations in data systems is a significant asset.
Tools
- Proficiency in MS Office and familiarity with statistical tools (e.g. Stata R EViews).
- Strong writing and presentation skills for policy audiences.
Communication and Languages
- Fluency in one of the two OECD official languages (English and French) and knowledge of or a willingness to learn the other.
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 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).
- 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.
- Knowledge of other languages would be an asset.
Closing Date
- This vacancy should be filled as soon as possible and applications should reach us no later thanmidnight 24 SEPTEMBER 2025 (Paris time).
Contract Duration
Open-ended appointment with no foreseen end date.
What the OECD offers
- Monthly salary starts at 7955.19 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 OECDs new contractual modalities.
- Click hereto 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.
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 irrespective of their racial or ethnic origin opinions or beliefs gender sexual orientation health or disabilities. This position is open to nationals of OECD member countries ( and nationals of countries eligible to receive Official Development Assistance (ODA) as set out by the Development Assistance Committee (DAC List of ODA recipients - ).
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 :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
