Role Overview
The Data team builds and evolves the data platform that powers critical product features and helps every team make smarter, faster decisions. 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.
What You Will Do
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.
Why It Might Be a Fit
You will partner with Data Engineering to improve warehouse performance, reliability, and cost efficiency, help teams become more autonomous on Snowflake and BI tools, and become a go-to partner for teams looking to monitor key metrics, explore data, and make data-driven decisions.
Requirements
- Strong SQL skills with the ability to write complex queries and work confidently with data.
- Hands-on experience with BI and analytics tools, such as Looker, Metabase, or Omni.
- Experience with modern data warehouses, such as BigQuery, Redshift, or Snowflake.
- Good working knowledge of Git and version control best practices.
- Experience with dbt is a strong advantage.
- Strong interest in AI and emerging analytics tools, with a focus on their practical application to business and data-related challenges.
- Solid understanding of data modeling and data warehousing principles, with an interest in building reliable, scalable, and efficient data solutions.
- Curiosity and problem-solving mindset: able to break down ambiguous questions into clear, actionable steps
- Comfortable collaborating with non-technical stakeholders, understanding their needs, and communicating technical concepts in a simple way.
- Fluent English (US/UK) / French fluent
Benefits
- Work From Home stipend
- RTT
- lunch vouchers
- medical insurance
- gym subscription
- 1 month parental leave for the second parent
To apply for this job please visit jobs.lever.co.

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