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DATA ANALYST – EDUCATION DATA MANAGEMENT


PARIS, FRANCE

APPLICATIONS HAVE CLOSED

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OECD

Working with over 100 countries, the OECD is a global policy forum that promotes
policies to improve the economic and social well-being of people around the
world.

View all jobs at OECD

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Posted 10 months ago


COMPANY DESCRIPTION

The Organisation for Economic Co-operation and Development (OECD) is an
international organisation comprised of 38 member countries, that works to build
better policies for better lives. Our mission is to promote policies that will
improve the economic and social well-being of people around the world.  Together
with governments, policy makers and citizens, we work on establishing
evidence-based international standards, and finding solutions to a range of
social, economic and environmental challenges. From improving economic
performance and creating jobs to fostering strong education and fighting
international tax evasion, we provide a unique forum and knowledge hub for data
and analysis, exchange of experiences, best-practice sharing, and advice on
public policies and international standard-setting.

The Directorate for Education and Skills (EDU) leads the Organisation’s work to
help member and non-member countries achieve high-quality learning for all,
design better skills policies, and turn them into jobs and growth. The
Directorate carries this out by providing statistics, analysis and policy advice
to countries on a wide range of educational topics.

Within the Directorate, the Indicators of Educational Systems (INES) Programme
and its Network for Labour Market and Social Outcomes (LSO) collect
internationally harmonised data to publish indicators that benchmark the
performance of education systems.


JOB DESCRIPTION

EDU seeks a Data Analyst to advance INES’ data management and analysis
processes. The position offers an exciting opportunity to innovate in data
management and analysis in a highly impactful project. Responsibilities of the
selected candidate will include developing new approaches to facilitate data
exchange and validation with national authorities as well as continuously
enhancing data management, processing and dissemination. S/he will contribute to
the production of the annual OECD flagship publication Education at a Glance, in
particular by developing and implementing processes to automate data analysis
and dissemination. S/he will also use their expertise to contribute to other
data-driven initiatives of the Directorate.

The selected candidate will work horizontally across the INES teams and other
teams of the Directorate. S/he will report to the INES Programme Manager and the
Head of the Innovation and Measuring Progress Division and will work in close
collaboration with the Analysts and Statisticians responsible for the respective
data collections.

Main Responsibilities

Data management and dissemination

 

 * Develop solutions to facilitate and automate the collection, validation and
   processing of data received from Member and Partner Countries within the INES
   Programme.
 * Develop automated processes for the production of figures, texts, and
   webpages based on this data.
 * Implement the above-mentioned processes and ensure that outputs meet the
   highest standards in terms of clarity and accuracy.
 * Develop innovative, user-friendly outputs that allow users to navigate and
   visualise data.
 * Contribute to the processing and the analysis of other data (including data
   from non-standard sources) as needed.
 * Contribute to other data-driven activities of the Directorate as needed.

Outreach and collaboration

 * Work with national officials to identify possibilities to facilitate the data
   exchange and validation process between national administrations and the OECD
   Secretariat.
 * Present proposals for improvements at meetings of the INES Working Party, of
   the LSO Network and during meetings of informal working groups with national
   officials.
 * Represent the OECD in relevant international and national settings, as
   needed.

Technical leadership, capacity building and strategic guidance

 * Stay up to date on technical developments, including by participating in
   trainings and attending technical conferences and workshops.
 * Identify opportunities to improve data-related processes within the INES
   Programme and EDU and organise workshops and trainings to introduce them to
   the colleagues.
 * Contribute to shaping the data strategy of EDU under the guidance of the
   senior management and in collaboration with colleagues in the Data Cluster of
   the Directorate.


QUALIFICATIONS

Academic Background

 * An advanced university degree in economics, statistics, social sciences,
   engineering, or computer science with a specialisation in data management and
   analysis.

Professional Background

 * A minimum of 3-5 years of experience in advanced data management, data
   processing and data analysis for statistical or research purposes in an
   international organisation, national administration or the private sector.
 * Experience in working with national statistical offices or other providers of
   official statistics would be an asset.
 * Excellent communication skills, with a proven ability to liaise and
   collaborate effectively with technical and non-technical audiences.

Tools

 * Excellent command of R for data collection, analysis, visualisation and
   automation, including significant experience in package development in R.
 * In-depth familiarity with good practices in software engineering and with
   using Git for version control and collaboration.
 * Experience in developing and delivering technical training. Relevant
   instructor training (e.g. Carpentries Instructor Training, RStudio Certified
   Trainers) would be an asset.
 * Knowledge of a wide range of other relevant tools, including but not limited
   to Stata, Python, SQL, JavaScript, VBA, Power BI and SAS.
 * Familiarity with SDMX would be an asset.

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).
 * 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 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.

 


ADDITIONAL INFORMATION

Closing Date

 * This vacancy will be filled as soon as possible, and applications should
   reach us no later than Sunday 18 February 2024 23h59 (CEST).

Contract Duration

 * One-year fixed term appointment, with the possibility of renewal.

What the OECD offers

 * Depending on level of experience, monthly salary starts at either 6 665.76
   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.

Salary Information

 * Please note that the appointment may be made at a 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 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.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  25  6  0
Category: Analyst Jobs

Tags: Computer Science Data analysis Data management Data strategy Economics
Engineering Git JavaScript Power BI Python R Research SAS SQL Stata Statistics

Perks/benefits: Career development Conferences Startup environment

Region: Europe
Country: France


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