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Contract

Lead Marketing Data Analyst

x/f/m

Doctolib

Doctolib

Healthcare access and practice software

No salary listed

Île-de-France, France + 1 more

More locations: Levallois-Perret, France

Hybrid

Two days on-site per week are required; the role is eligible for partial remote work.

Category
Data & Analytics (1)
Required Skills
Amplitude
Python
Data Visualization
R
Forecasting
BigQuery
SQL
Machine Learning
CRM
SEO
Tableau
Looker
Data Analysis
Requirements
  • Have 7 to 10 years of experience in marketing analytics, growth analytics, or business analytics, ideally in B2B SaaS scale-ups.
  • Be accustomed to leading analytical work end to end, from data modeling through presentation to executive leadership.
  • Autonomously write SQL queries daily and have direct experience with BigQuery or an equivalent tool.
  • Have practical experience in attribution or incrementality, including building or leading a multi-touch attribution model, conducting incrementality tests, or working on Marketing Mix Modeling.
  • Have experience optimizing the marketing funnel, including acquisition and activation strategy.
  • Have modeled LTV and SAC in a SaaS or subscription context using cohort-based analyses to guide budget allocation or strategic decisions.
  • Have defined marketing KPIs and a common framework, including MQLs, SQLs, and leads.
  • Have experience with data visualization tools such as Amplitude, Tableau, Looker, or Metabase.
  • Be proficient in English and French, both written and spoken.
Responsibilities
  • Lead the team's multi-touch attribution model across SEO, paid acquisition, and CRM.
  • Build and maintain a unified view of conversion journeys that can be used from the data warehouse.
  • Define and document shared conversion definitions aligned across the team.
  • Support Paid and CRM teams in measuring their impact through incrementality tests, Marketing Mix Modeling, and Causal Impact.
  • Work with Data Product Managers to ensure data models and associated flows are properly structured and maintained.
  • Track LTV and SAC by acquisition channel, segment, and cohort.
  • Build and maintain cohort retention curves for J7, J30, and J90 and identify churn points.
  • Determine which acquisition sources and segments generate the highest long-term value.
  • Develop forecasting models in close collaboration with Data and Finance teams.
  • Produce monthly LTV/SAC reporting to guide budget allocation decisions and prepare performance summaries for executive leadership.
  • Design and deploy a machine-learning lead-scoring model with the SCOPS team to determine which leads are passed to Sales and which are nurtured in CRM.
  • Translate behavioral and engagement data into a CRM-activatable scoring model in coordination with the CRM Tooling & AI specialist.
  • Evolve the lead-scoring model as new data and Sales feedback become available.
  • Ensure that data needed by the CRM Tooling & AI specialist and Digital Analyst is available, documented, and reliable.
  • Translate their needs into structured requirements for Data Product Managers.
  • Identify upstream data-quality issues and track them through resolution.
  • Act as the link between the Performance Marketing team and the Data organization.
  • Lead the team's overall performance dashboards covering acquisition, attribution, LTV/SAC, and channel contribution through daily, weekly, and monthly views.
  • Implement automated anomaly detection, AI-generated narrative summaries, and assisted exploratory analyses.
Desired Qualifications
  • Have skills in Python or R for advanced statistical modeling and machine-learning model development.
  • Understand product-led growth models and how usage data supports marketing measurement.
  • Have experience managing or supporting more junior analysts.
  • Have some knowledge of German.
Doctolib

Doctolib

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Doctolib is a European healthcare technology company. Its platform supports appointment booking, teleconsultation, patient communication, clinical workflows, and practice administration. Patients use Doctolib to find and manage care, while healthcare professionals and organizations use its software to coordinate services. The company combines consumer applications with subscription software, implementation, security, customer support, and local market operations. Roles span product, engineering, data, design, sales, implementation, customer service, and healthcare operations.

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