Senior Data Analyst

📋 Description

• Drive high-impact projects end to end — from a vague business question to a shipped outcome
• Design and assess experiments — judge whether an A/B test is viable in the first place, design it
• Analyse experiments honestly and say what they mean — including the ones that didn't work, and the
• Make recommendations, not just dashboards — a big part of this role is landing a point of view
• Define the metrics the company steers by — and how are they impacted by the different levers we
• Build the datasets and models the rest of us rely on — ETL/ELT transformations, curated datasets

🎯 Requirements

• Solid senior-level experience as a data analyst in SaaS — you know NDR, expansion, contraction and
• Real experimentation depth — you've designed, sized and analysed A/B tests, you know when a clean
• A habit of ending with a recommendation — you're analytical and opinionated, you tell people what
• Expert SQL, Python for the work SQL can't do, and comfort in Looker (or a close equivalent) for
• Strong data modelling and analytics engineering — you build the layer everyone else relies on
• A genuine appetite for AI — you're already using it in your workflow and curious about what it

🎁 Benefits

• 22 days of paid time off, plus your local national holidays
• Flexible work hours and a culture that trusts you to manage your time
• Private medical insurance or a medical allowance (depending on your location)
• Extended paid sick leave so you can fully recover without worry
• Career map with growth opportunities
• A quarterly learning budget for courses, books, or anything that helps you grow professionally