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Data Analyst (6-month internship)

Job Overview

Location

Paris, Remote

Job Type

Full-time

Category

Data & Analytics

Date Posted

April 23, 2026

Full Job Description

📋 Description

  • As a 6-month BI Engineering intern on the Data team at 360Learning SAS, you will play a central role in enabling data-driven decision-making across Product, Operations, CS, Sales, and Engineering by building and maintaining the data platform that powers critical product features and delivers reliable insights.
  • Your day-to-day responsibilities will include designing an AI-powered initiative to allow teams to build and run their own Snowflake queries autonomously, supporting the migration away from Amplitude, and answering key business questions related to churn, upsell, and feature adoption using SQL, data modeling, and analytics.
  • You will join a collaborative Data team that processes billions of events monthly, manages over 30TB of data, and maintains 200+ data pipelines, producing 100+ dashboards and automation tools that scale decision-making across the organization.
  • This internship offers hands-on experience in BI engineering, data platform development, and AI-enabled analytics, allowing you to develop technical skills in Snowflake, SQL, data visualization, and business intelligence while contributing to real-world impact in a fast-growing edtech company.

Skills & Technologies

Junior
Remote

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360Learning SAS
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About 360Learning SAS

360Learning SAS provides a collaborative learning platform that enables organizations to create, share, and manage internal training courses. The software combines an authoring tool with an LMS, emphasizing peer-driven content and rapid course creation. Enterprises use it for onboarding, compliance, sales enablement, and skills development. Features include interactive authoring, analytics, AI coaching, and integrations with HRIS and CRM systems. Founded in 2013, the company serves mid-size and large corporations globally, focusing on accelerating learning programs and reducing reliance on traditional, top-down training methods.

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