Data Scientist (Marketing Analytics)

Join our Data & Insights team as a Data Scientist specializing in Marketing Analytics. In this role, you will be the dedicated analytical partner for Marketing, turning data into actionable decisions. You will own marketing attribution, ROI, and conversion analysis, and proactively surface findings and opportunities. You will also partner with Data and Analytics Engineers to shape the models and pipelines needed for analysis. This position offers a competitive salary, comprehensive benefits, and the opportunity to make a significant impact on our marketing strategy.

• Analyser les données marketing pour identifier les tendances, les anomalies et les opportunités d'amélioration.
• Collaborer avec les équipes d'ingénierie des données et d'analyse pour définir les modèles et les pipelines nécessaires à l'analyse des données marketing.
• Communiquer les résultats de l'analyse de manière claire et concise aux parties prenantes non techniques, en traduisant les résultats en recommandations concrètes.
• Working knowledge of marketing and GTM data: channels, campaigns, attribution models, funnel and conversion metrics, and the realities of joining marketing data to CRM/sales and product usage data
• Statistical foundation: experimentation, significance testing, regression, segmentation, forecasting, and the judgment to know which applies
• Comfort with the latest AI tools, and a habit of using them to work faster and sharper: exploring data, writing and debugging code, drafting analysis, and accelerating insight. You stay current as the tooling evolves and bring new approaches to the team
• Solid SQL. You can independently query, join, and explore data without waiting for someone to prepare it for you
• Willingness to get hands-on with data modeling. You don't need to be a dbt expert, but you must be comfortable exploring messy data and partnering on (or building) the models you need rather than waiting for clean tables
• Proactivity and autonomy: you raise your hand early, plan your own work, and look for impact without being asked
• Eagerness to develop: you actively grow your skills, seek feedback, and treat new tools and methods as opportunities rather than threats
• Strong communication and stakeholder skills: you can challenge weak measurement respectfully and make a recommendation, not just present options
• Proficiency in Python for analysis, modeling, and automation
• Strong analytical track record: someone who has measurably influenced business or marketing decisions through analysis, not just produced reports