Senior Analytics Engineer
Materialbank
London · Royaume-Uni
Publication : 27 sept. 2026
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<div class="content-intro"><p>Material Bank is the world’s largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands.
Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials.</p></div><p><strong><span data-contrast="auto">Senior Analytics Engineer, Analytics & Insights</span></strong><span data-ccp-props="{"335559739":60}"> </span></p> <p><span data-contrast="none">London, UK (Hybrid, 2 days in office)</span><span data-ccp-props="{"335559739":240,"335572079":6,"335572080":8,"335572081":12566463,"469789806":"single"}"> </span></p> <p><span data-contrast="auto">Material Bank is the world's largest material marketplace for the architecture and design industry.
Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials.</span><span data-ccp-props="{"201341983":0,"335559739":160,"335559740":276}"> </span></p> <p><strong><span data-contrast="auto">About the role</span></strong><span data-ccp-props="{"335559738":280,"335559739":120}"> </span></p> <p><span data-contrast="auto">We are looking for a Senior Analytics Engineer to join Analytics & Insights, the team that owns Material Bank's analytics data layer, internal reporting, and data products that support our teams and brand partners.</span><span data-ccp-props="{"201341983":0,"335559739":160,"335559740":276}"> </span></p> <p><span data-contrast="auto">This is a hands-on technical role for someone who wants to own how analytics get built.
You will take approved metric definitions and business questions and turn them into the models and metric logic in Snowflake and dbt, the dashboards, and the semantic layer and data products people use every day.</span><span data-ccp-props="{"201341983":0,"335559739":160,"335559740":276}"> </span></p> <p><span data-contrast="auto">You will own the analytics engineering for key areas of the business: understanding what needs to be measured, building the models, validat