Analytics Engineer

The Wrap; Paris; On-site; EUR 65,000 - 90,000; Full time

Job summary

The Wrap’s Data team is building a data platform powering product features and enabling smarter decisions across the company. We are looking for our first Analytics Engineer to join and bridge the gap between data and business teams.

You’ll create trusted datasets, meaningful KPIs, and self-service analytics capabilities, working closely with our Senior Data Analyst and Data Engineers to improve data models and documentation and to strengthen warehouse reliability and efficiency.

Qualifications

• As our first Analytics Engineer, you will bridge the gap between our data platform and business teams.
• You will build trusted datasets, meaningful KPIs, and self-service analytics capabilities.
• You will collaborate with Senior Data Analyst and Data Engineers to improve data models and documentation.

Responsibilities

• Bridge data platform and business teams by delivering trusted datasets and KPI dashboards.
• Improve data models and documentation to raise warehouse reliability and efficiency.
• Enable autonomous self-service analytics across teams using Snowflake and BI tools.

Skills

Data modeling

SQL

Analytical thinking

Tools

Snowflake

Looker

Metabase

Job description

The Data team builds and evolves the data platform that powers critical product features and helps every team make smarter, faster decisions. Our data ecosystem supports hundreds of pipelines, dashboards, and tools, providing the foundation for both day-to-day operations and strategic decision-making.

What makes our team unique is our central role across the company: we sit at the intersection of Product, Operations, Customer Success, Sales, and Engineering. As our first Analytics Engineer, you’ll bridge the gap between our data platform and business teams by building trusted datasets, meaningful KPIs, and self-service analytics capabilities.

You’ll work closely with our Senior Data Analyst and Data Engineers to improve data models and documentation, strengthen the reliability and efficiency of our warehouse, and help teams become increasingly autonomous with Snowflake, Looker/Metabase, and AI-powered analytics. You’ll then contribute to our broader mission of making data more accessible and actionable across 360Learning.