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Lead Marketing Data Analyst (x/f/m)
Data Engineer
• Lead
• Vor Ort
• Vollzeit
• 📍 Paris
Doctolib is looking for a Lead Marketing Data Analyst to join the B2B Performance Marketing team as the team's analytical reference for acquisition performance, attribution and customer value. You will turn complex cross-channel data into clear concepts and concrete recommendations that directly influence investment, targeting and growth decisions, working in an AI-first environment alongside Data Product Managers and Sales Operations.
Responsibilities
- ▹Run the team's multi-touch attribution model across SEO, paid acquisition and CRM, and build a unified, warehouse-ready view of conversion journeys (30%)
- ▹Support Paid and CRM teams in measuring their impact (incrementality tests, Marketing Mix Modeling, Causal Impact)
- ▹Track LTV and SAC by acquisition channel, segment and cohort, maintain cohort retention curves and produce monthly LTV/SAC reporting for leadership (25%)
- ▹Design and deploy a machine-learning lead scoring model with the SCOPS team to decide which leads go to sales and which are nurtured in CRM (20%)
- ▹Be the data partner for the CRM Tooling & AI specialist and Digital Analyst, ensuring data is available, documented and reliable (15%)
- ▹Build operational dashboards and develop forecasting models in close collaboration with Data and Finance teams
Requirements
- ▹Strong analytical expertise in acquisition performance, attribution and customer value (LTV/SAC)
- ▹Experience with multi-touch attribution, cohort analysis and incrementality testing (Marketing Mix Modeling, Causal Impact)
- ▹Ability to build and deploy machine-learning lead scoring models
- ▹Experience working from a data warehouse and defining common, shared metric definitions
- ▹Comfort in an AI-first environment with ML models, automated pipelines and AI-assisted analysis
- ▹Ability to partner with Data Product Managers, Sales Operations, CRM and Finance teams
Soft skills
Ability to translate complex data into clear concepts and actionable recommendationsStrong cross-functional collaboration and alignmentOwnership of data quality and reliabilityActs as the link between Performance Marketing and the Data organization
Languages: francia