Data Analyst – Digital Economy – Connectivity Services and Infrastructures

Job title:

Data Analyst – Digital Economy – Connectivity Services and Infrastructures

Company:

OECD

Job description

Company DescriptionTHE OECD – Who we are, what we doThe Organisation for Economic Co-operation and Development is an international organisation comprised of 38 member countries, whose mission is to build better policies for better lives. We 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 to establish evidence-based international standards, and finding solutions to a broad range of social, economic and environmental challenges, from the improvement of 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 SCIENCE, TECHONOLOGY AND INNOVATION DIRECTORATEThe Science, Technology and Innovation (STI) Directorate, in line with the strategic objectives of the Secretary-General, helps OECD member countries and other key economies build an environment conducive to translating science, technology and knowledge into innovation in order to create economic and social value added.The Digital Economy Policy (DEP) Division of the STI is responsible for developing evidence-based policies through multi-stakeholder processes that i) stimulate the growth of an accessible, innovative, open, inclusive and trusted digital economy for sustained prosperity and well-being, and ii) leverage the potential of Information and Communication Technologies (ICT), in particular, the Internet, and digitisation to achieve key socio-economic goals such as improving productivity, providing opportunities for new jobs, contributing to mitigate environmental pressures and improving health outcomes and the quality of life in general. A strong measurement agenda builds the evidence base upon which policy recommendations are derived. DEP collaborates with other parts of the Organisation on horizontal issues such as ICT in health, taxes, trade, productivity, ICT skills and ICT effects on labour markets. DEP is responsible for, among other things, maintaining the Global Recalls Portal, the Going Digital Toolkit, the Broadband Portal and the OECD.AI Policy Observatory.THE POSITIONSTI/DEP is looking for an engaged and innovative Data Analyst to support the Working Party on Connectivity Services and Infrastructures (WPCSI) of the Digital Policy Committee (DPC) and DEP’s work on measuring digital transformation, namely connectivity across and within countries. The successful candidate will have good knowledge of core economic concepts and advanced skills using statistical or econometric techniques, very good programming skills, and proven ability to communicate complex results. Good knowledge of data visualisation tools would be an advantage. S/he will be required to work independently and collaborate with effectively with other team members. The selected person will work under the supervision of the Head of the Connectivity Services and Infrastructures (CSI) unit in the DEP Division in STI.Job DescriptionMain ResponsibilitiesEconomic research and data science work

• Contribute to economic research projects under the auspices of the WPCSI related to the use of alternative data sources or new modelling techniques. This may include using both machine-learning and advanced econometrics models, but also potentially on projects using geospatial analysis and/or natural language processing.
• Support the maintenance of the OECD’s indicators on connectivity and collaboration with other units involved in digital transformation indicators, including monitoring source databases for updates, collating the relevant data, compiling indicators using and developing scripts in Python and Stata, and updating OECD.Stat data cubes.
• Contribute to the drafting of documents, including working papers and presentations, related to connectivity policy issues.
• Address internal and external requests for statistics and answer queries related to methodologies and concepts applied to the data.

Communication and liaison

• Develop good working relationships with colleagues within STI and across the OECD, as well as with data scientists and statisticians in national administrations and other international organisations.
• Participate in WPCSI and related meetings and workshops. Prepare methodological documents and tools.
• Contribute to the external visibility of the DEP Division, for example by participating and presenting work at workshops, conferences, etc.

QualificationsIdeal Candidate ProfileAcademic Background:

• An advanced university degree in data science, computer science, statistics, mathematics, economics, or a closely related field.

Professional Background:

• A minimum of two years of relevant experience performing economic analysis and/or data science. Strong interest in the production and/or use of advanced quantitative methodologies and statistics.
• Experience or coursework in some of these fields would be an asset: time series analysis, natural language processing, geospatial analysis, causal inference, and web scraping.
• Very good ability to communicate complex results and use effective data visualisation techniques.
• Experience in project management and contributing to multidisciplinary projects.
• Experience in carrying out quantitative analysis and/or modelling, particularly with respect to digital transformation, would be an advantage.

Tools:

• Knowledge of advanced techniques including machine learning.
• Very good knowledge of large statistical databases and practical experience with statistical software to manage them.
• Excellent programming skills. Excellent knowledge and experience in the use of statistical/econometric software (e.g., STATA, R and Python).
• Good knowledge of Git for version control.
• Good knowledge of some of the main frameworks for data visualisation in static (reports) and dynamic settings (webages) data processing, machine learning, deep learning or willingness to learn those frameworks.
• Experience with cloud computing tools would be an asset.

Languages:

• Fluency in one of the two OECD official languages (English and French) and a knowledge of, or a willingness to learn, the other.

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 1-3, please refer to

.Additional InformationContract Duration

• Thirteen-month fixed term appointment, with the possibility of renewal.

Closing DateThis vacancy will be filled as soon as possible, and applications should reach us no later than midnight CEST 14 July 2024.Please note that our Rules and Regulations stipulate that the mandatory retirement age is 65.What the OECD offers

• Monthly base salary starting from EUR 5 741 plus allowances, based on eligibility, exempt of French income tax.
• Please note that the appointment may be made at a lower grade depending 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 , irrespective of their racial or ethnic origin, opinions or beliefs, gender, sexual orientation, health or disabilities. Our selection processes are merit-based; 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.about what we offer and why the OECD is a great place to work.Browse our to learn more about all aspects relating to people at the OECD, our workplace environment and on policies supporting staff in their daily life.

Expected salary

€5741 per month

Location

Paris

Job date

Thu, 13 Jun 2024 22:37:33 GMT

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