Data Analyst Intern (Edtech)

TL;DR

Data Analyst Intern (Edtech): Empowering hirify.global teams with data-driven decisions by creating KPIs, A/B tests, and dashboards with an accent on supporting product teams, organizing data models, and proposing new analyses. Focus on running A/B tests, crafting proper KPIs, and proactively identifying insights.

Location: Possible full remote. Candidates can choose to work from our Brussels or Paris office.

Company

hirify.global is a fast-growing edtech company on a mission to make learning more interactive and impactful, serving millions of users worldwide with products like hirify.global and Wooflash.

What you will do

• Create and maintain dashboards and KPIs for business teams.
• Run A/B tests and analyses to help product decisions.
• Support business teams with ad-hoc data requests.
• Help organize the data model and create documentation.
• Be proactive in proposing new analyses and insights.

Requirements

• Fluent in English (speaking and writing).
• Proficient in Python and data-oriented libraries (pandas, numpy, sklearn).
• Very good knowledge in SQL (ideally Presto/Trino on Athena).
• Solid understanding of statistics.
• Experience with a BI tool (Metabase, Tableau, QuickSight, Shiny...).
• Good business instinct (ability to create proper KPIs for a team).

Nice to have

• R experience.
• Airflow experience.
• Familiarity with AWS environment (S3/Glue/Athena data lake architecture).
• Experience with Git and standard development tools.
• Basic, daily usage of AI to boost productivity (ChatGPT, Claude, Copilot...).
• DBT basic knowledge.

Culture & Benefits

• Work in a diverse, supportive, and collaborative environment.
• Focus on building meaningful products with real-world impact.
• Join a fully remote Data Team that prioritizes cohesion and mutual support.
• Opportunity to work in a genuinely healthy work environment.
• Embrace a learning mindset and curiosity about cutting-edge technologies.

Hiring process

• 30' Screening interview with your future manager.
• 90' Technical Case (async).
• 60' Technical Case debrief with the Data Team.
• 30' Interview with Head Of Engineering.