The Data team owns and evolves the data platform that powers critical product features and enables every department to make smarter, faster decisions with confidence.
What makes our team unique is our central role at the intersection of Product, Operations, Customer Success, Sales, and Engineering. As a 6-month Data Analyst Intern, one of your key responsibilities will be to answer strategic business questions related to churn, upsell opportunities, and feature adoption, enabling teams to move faster with reliable, actionable data. You will also contribute to impactful cross-functional projects, including the development of an AI-powered initiative that allows teams to build and run their own SQL queries autonomously. In addition, you will support the onboarding of teams onto a new BI tool, helping shape the future of self-service analytics across the company.
Within 1 month, you will:
- Discover 360Learning, its platform, teams, and culture
- Get familiar with our data stack (Snowflake, Looker, dbt, etc.) and our ways of working
- Understand our self-service strategy and current challenges around data requests
Within 3 months, you will:
- Answer high-impact business questions around churn, upsell, and feature adoption
- Collaborate with our Senior Data Analyst to improve documentation, data models, and best practices to strengthen self-service adoption
- Accompany teams in becoming more autonomous on Looker
- Design an AI-powered initiative enabling teams to build and run their own Snowflake queries autonomously
Within 6 months, you will:
- Support the onboarding of people onto our new BI tool as part of the transition away from Amplitude
- Scale and iterate on the AI/self-service initiative based on team feedback and adoption
- Be a go-to person for business questions to unblock teams to drive upsells or prevent churn
The Skill Set
- Strong knowledge of SQL, and basic knowledge of BI tools (Looker, Tableau etc.)
- Basic knowledge of GitHub
- Willingness to learn and explore our data stack (Snowflake, Looker, dbt)
- Interest in data modeling, data warehousing principles, and building reliable queries
- Curiosity and problem-solving mindset: able to break down ambiguous questions into clear, actionable steps
- Comfortable collaborating with many different teams, understanding their needs, and communicating technical concepts in a simple way
- Open to feedback and eager to learn from experienced analysts, engineers, and product teams
- Fluent English (US/UK) / B2 level or equivalent (FR)
- Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L
What We Offer:
- Compensation and benefits: meal vouchers, remote work, transportation reimbursemen