Data Analyst SaaS

Role Overview

We are looking for a Data Analyst SaaS who can transform our data into useful answers and concrete decisions. Your role will be to understand what makes our products grow, what hinders their performance, and where the best opportunities for improvement are.

What You Will Do

You will analyze both marketing performance and user behavior as well as payments, revenues, and risks. Depending on the subject, you will work with the relevant teams to formulate recommendations, prioritize actions, and measure their impact.

Why It Might Be a Fit

This is not a dashboard creation-focused role: we are looking for a curious, rigorous, and business-oriented person who knows how to ask the right questions, dig into the numbers, and explain what they imply.

Requirements

• 3 to 5 years of experience as a Data Analyst or in a similar BI/analytics role
• Experience in SaaS, in a subscription-based model or e-commerce, with a good understanding of growth and revenue challenges
• Experience in analyzing customer, marketing, product, or payment data; you are comfortable exploring new domains
• Solid SQL: joins, segmentation, cohorts, and window functions
• AI-native profile: you use AI assistants (Claude or equivalent), cloud, and skills, and integrate AI into your analysis and presentation workflows with a critical eye on its results
• Strong bases in data analysis and statistics: performance comparison, cohort analysis, and interpretation of test results
• Ability to link data from multiple sources and verify its consistency
• Understanding of business metrics such as conversion, cost of acquisition, retention, ARPA, and LTV
• Mastering Python, experience with analytics product tools, and analyzing data from payment providers (Stripe, Adyen) or subscription billing tools (Recurly, Chargebee) are appreciated

Tagged as: Data Analysis