Making numbers readable and useful
Data, impact & visualisation team
A volunteer role in the data, impact and visualisation team: you report to the Research, Quality and Impact Lead. You work day to day with the Data Infrastructure Coordinator.
Assignments
- Write the Colab notebooks that query public APIs: World Bank, IMF, OECD, FAO, WHO, ILOSTAT
- Turn proven notebooks into scheduled GitHub Actions jobs that refresh each dataset as its source publishes
- Move every dataset through the team’s processing stages: raw, cleaned, harmonised (country codes, years, units), published
- Write a dictionary for each dataset: variables, units, sources, processing steps
- Keep all processing code under version control in GitHub, with a review before each merge
- Connect Looker Studio and the Data Hub to the published tables, with the Data Infrastructure Coordinator
- Set up automatic quality checks: missing values, duplicates, breaks in series, units
- Keep pipelines within the free quotas of the team’s tools, and flag early any need beyond them
A typical week, at your pace
- One scheduled job added or improved
- The week’s quality checks reviewed
- A check-in with a lab analyst about their needs
- Code documentation brought up to date
Tools to master
- Python, pandas and SQL: processing and queries
- Google Colab: acquisition and cleaning notebooks
- GitHub and GitHub Actions: versioned code and scheduled jobs
- Looker Studio: dashboards connected to the published tables
Profile we are looking for
- Strong Python and SQL
- A taste for clean, tested, documented code
- Rigour with units, dates and country codes
A volunteer role, open to young people
Every role we offer is fully voluntary. The experience we ask for can come from a course, a student project, an internship, volunteering or a personal project: every skill counts, wherever you gained it. Our roles are designed first and foremost for young people, and we weigh your motivation and potential as carefully as your track record. Want to be part of something big? Apply.
Nice to have
- Experience with public data APIs or a data warehouse
- Hands-on GitHub Actions or another automation tool
- Good English and French
What this role gives you
- Live data pipelines to show in your portfolio
- Practice with data automation in a research setting
- Work alongside analysts and researchers from several continents
Applications open until ; a new cycle follows
Applications open in forty-five-day cycles, each followed by the next. YouthShare reserves the right to close this listing as soon as the right person is found. We therefore encourage you to apply now.
The one-year commitment
A non-profit project is built over time. Every volunteer therefore commits for at least one year: time to settle in, carry the assignment through and pass on what they have learned. The weekly time depends on the role and is given in each role description.
How selection works
Online application
You choose a role, present your background and attach your CV. A confirmation email gives you your reference.
Profile review
The Talent team reads every application, matches it with the needs of the role and sends you a first reply by email within three days on average.
Video interview
A conversation to get to know each other and shape the assignment together.
Decision and arrival
You receive our answer by email, followed by a welcome to the team and access to its tools.
Know the right person?
Recommend this role to them: they receive an email from YouthShare that presents it, with your name and the link to apply. You can also share the listing on your networks.