Lead Marketing Data Analyst (m/f/d)

Your missions

We are looking for a Lead Marketing Data Analyst to join the B2B Performance Marketing team. As a Lead Marketing Data Analyst, you are the analytical reference for the team on acquisition performance, attribution, and customer value.

You transform complex cross-channel data into clear concepts and concrete recommendations that directly influence the team's investment, targeting, and growth decisions. You are the data foundation upon which the CRM Tooling & AI Specialist and the Digital Analyst rely: you ensure that the right data is available, reliable, and usable by everyone.

You work closely with Data Product Managers to find the right solutions and align Data teams on common definitions, shared metrics, and coherent data structuring. You are also a partner to Sales Operations (SCOPS team) to build the "lead scoring" infrastructure that connects Marketing and Sales.

You operate in an AI-first environment: ML models, automated pipelines, and AI-assisted analysis will be part of your daily work.

Your responsibilities include, but are not limited to:

1. Attribution, Conversion Journey & Incrementality (30%)

• Lead the team's multi-touch attribution model between SEO, paid acquisition, and CRM
• Build and maintain a unified view of conversion journeys, accessible from the data warehouse
• Define and document common conversion definitions on which the entire team aligns
• Support the Paid and CRM teams in measuring their impact (incrementality tests, Marketing Mix Modeling, Causal Impact…)
• Work with Data Product Managers to ensure that data models and associated flows are correctly structured and maintained
  
  

2. LTV/SAC, Cohort Analyses & Executive Reporting (25%)

• Track LTV and SAC by acquisition channel, segment, and cohort
• Build and maintain cohort retention curves (J7, J30, J90) and identify churn moments
• Determine which acquisition sources and segments generate the highest long-term value
• Develop forecasting models in close collaboration with Data and Finance teams
• Produce the monthly LTV/SAC reporting that guides budget allocation decisions and prepare performance summaries shared with management
  
  

3. Lead Scoring & Partnership with Sales Teams (20%)

• Design and deploy a machine learning-based lead scoring model with the SCOPS team, to determine which leads are passed to sales representatives and which are nurtured in CRM
• Translate behavioral and engagement data into an actionable scoring model within the CRM, in coordination with the CRM Tooling & AI Specialist 
• Evolve the model over time with new data and feedback from sales teams
  
  

4. Data Availability & Team Support (15%)

• Be the data partner for the CRM Tooling & AI Specialist and the Digital Analyst: ensure that the data they need is available, well-documented, and reliable
• Translate their needs into structured requirements for Data Product Managers
• Identify data quality issues upstream and track them until resolution
• Be the link between the Performance Marketing team and the Data organization
  
  

5. Operational Dashboards & Performance Monitoring (10%)

• Lead the team's overall performance dashboards: acquisition, attribution, LTV/SAC, and channel contribution (daily monitoring, weekly steering, monthly view for management)
• Implement automatic anomaly detection, AI-generated narrative summaries, and assisted exploratory analyses to free up time for higher value-added analytical work
  
  

Qualities expected for this position

Before continuing to read, if you do not have the exact profile described below, but you believe this job description matches your skills and aspirations, we still encourage you to apply.

You could be the next member of our team if you:

• Have 7 to 10 years of experience in marketing analytics, growth analytics, or business analytics, ideally in B2B SaaS scale-ups
• Are accustomed to leading analytical work end-to-end, from data modeling to executive presentation
• Master SQL queries autonomously on a daily basis and have worked directly with BigQuery or equivalent
• Have concrete experience in attribution and/or incrementality: you have built or led a multi-touch attribution model, conducted incrementality tests (user-based, geolift), or worked on Marketing Mix Modeling
• Have experience in marketing funnel optimization:
• Acquisition & Activation Strategy
• LTV / SAC modeling in a SaaS or subscription context: have performed LTV and SAC analyses based on cohorts, used to guide budget allocation or strategic decisions.
• Definition of KPIs and framework (MQLs, SQLs, Leads...)
• Experience with data visualization tools: Amplitude, Tableau, Looker, Metabase…
• Are fluent in English and French, both written and spoken

It would be fantastic if you also had:

• Skills in Python or R for advanced statistical modeling and machine learning model development
• Knowledge of product-led growth models and how usage data feeds marketing measurement
• Experience managing or mentoring more junior analysts
• Basic knowledge of German

Our offer

• Advantageous health insurance covered 100% by Doctolib (basic plan) for employees and their children
• 25 days of paid leave and 12 to 14 days of RTT (time off in lieu) per year
• A free personalized mental health and coaching program with our partner Moka.care
• 10 days per year of remote work abroad allowed
• Participation in Doctolib's value-sharing plan, called DoctoGrowth
• Meal vouchers worth €8.50 per day, with €4.50 covered by Doctolib
• A comprehensive 3-month onboarding program including Doctolib Academy and various training sessions (languages, soft skills, technical skills)
• A subsidy from the works council for the reimbursement of part of the registration fee for a sports club or a creative activity
• A 50% reimbursement of public transport pass
• One additional month of leave to the legal parental leave thanks to the "Parent Care" program
• For employees with disabilities or who are caregivers, a package including adaptation of remote work, paid days off for medical appointments, and reinforced psychological support
• Relocation assistance in case of international mobility

Recruitment process

• Interview with a recruiter 
• Meeting with the manager 
• Case study and presentation
• Final interview with the leadership team
• At least one reference check
  
  

Job details

• Permanent contract (CDI)
• Full-time
• Work location: Levallois-Perret
• Start date: as soon as possible
• Compensation: fixed and variable based on objectives (to be defined according to profile)
• This position is eligible for partial remote work (2 days/week) 

At Doctolib, we are convinced that we must improve health for everyone. This is reflected in our recruitment process. We evaluate applications solely on the basis of qualifications and motivation, without any form of discrimination.

The more diverse the ideas, the more our product will truly improve health for everyone. You can apply at Doctolib, regardless of your gender, religion, age, sexual orientation, ethnic origin, or disability.

In order to ensure equal opportunities, we invite you to exclude personal information (e.g., photos, age) from your applications. If you require special accommodations, please inform us so that we can adapt the recruitment process. Join us to build the health we all dream of!

All information provided is processed by Doctolib for application management. For more details on data processing, click here. Please contact hr.dataprivacy(at)doctolib.com for any questions or to exercise your rights.