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 team's analytical reference on acquisition performance, attribution and customer value.
You transform complex cross-channel data into clear concepts and actionable recommendations that directly influence the team's investment, targeting and growth decisions. You are the data base on which the CRM Tooling & AI specialist and the Digital Analyst rely: you guarantee 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 the partner of 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 life.
Your responsibilities include, but are not limited to:
1. Attribution, conversion journey & incrementality (30%)
- Manage the team's multi-touch attribution model between SEO, paid acquisition and CRM
- Build and maintain a unified view of conversion journeys, usable from the data warehouse
- Define and document common conversion definitions that the entire team aligns with
- Support the Paid and CRM teams in measuring their impact (incrementality tests, Marketing Mix Modeling, Causal Impact, etc.)
- Work with Data Product Managers to ensure data models and associated flows are properly structured and maintained
2. LTV/SAC, cohort analyzes & reporting to Management (25%)
- Track LTV and SAC by acquisition channel, segment and cohort
- Build and maintain retention curves by cohort (D7, D30, D90) and identify moments of churn
- Determine which acquisition sources and segments generate the highest long-term value
- Develop forecasting models in close collaboration with the Data and Finance teams
- Produce the monthly LTV/SAC reporting which guides budget allocation decisions and prepare performance summaries shared with Management
3. Lead scoring & partnership with sales teams (20%)
- Design and deploy a lead scoring model based on machine learning with the SCOPS team, to determine which leads are transmitted to salespeople and which are nurtured in CRM
- Translate behavioral and engagement data into a scoring model that can be activated in the CRM, in coordination with the CRM Tooling & AI specialist
- Evolve the model based on new data and feedback from the sales teams
4. Data availability & team support (15%)
- Be the data partner of the CRM Tooling & AI specialist and the Digital Analyst: guarantee 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 early and track them until resolved
- Be the link between the Performance Marketing team and the Data organization
5. Operational dashboards & performance monitoring (10%)
- Manage the team's overall performance dashboards: acquisition, attribution, LTV/SAC and contribution by channel (daily monitoring, weekly monitoring, monthly view for management)
- Implement automatic anomaly detection, AI-generated narrative summaries and assisted exploratory analyzes to free up time for higher value-added analytical work
Qualities expected for this position
Before you continue reading, if you do not have the exact profile described below, but you think 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 used to leading analytical work from end to end, from the data model to presentation to management
- Master SQL queries independently on a daily basis and have worked directly with BigQuery or equivalent
- Have concrete experience in attribution and/or incrementality: you have built or piloted 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: having performed cohort-based LTV and SAC analyzes used to guide budget allocation or strategic decisions.
- Definition of KPIs and reference framework (MQLs, SQLs, Leads...)
- Experience with data visualization tools: Amplitude, Tableau, Looker, Metabase…
- Master 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 into marketing measurement
- Experience in management or supporting more junior analysts
- Basics of German
Our offer
- Advantageous mutual insurance 100% covered by Doctolib (basic plan) for employees and their children
- 25 days of paid leave and 12 to 14 days of RTT per year
- A free personalized mental health and coaching program with our partner Moka.care
- 10 days per year of teleworking abroad possible
- Membership of Doctolib’s value sharing plan, called DoctoGrowth
- Restaurant vouchers worth €8.50 per day, including €4.50 covered by Doctolib
- A complete 3-month integration program including the Doctolib Academy and various training courses (languages, soft skills, technical skills)
- A subsidy from the works council for the reimbursement of part of the registration for a sports club or a creative activity
- A 50% refund of the public transport subscription
- One month of additional leave to legal parental leave thanks to the “Parent Care” program
- For employees with disabilities or caregivers, a package including adaptation of teleworking, paid authorized days of absence for medical appointments and enhanced psychological support
- Moving assistance in the event of international mobility
The recruitment process
- Interview with a recruiter
- Meeting with the manager
- Case study and restitution
- Last interview with the leadership team
- Minimum reference taking
Job Details
- CDI
- Full Time
- Workplace: Levallois-Perret
- Start: as soon as possible
- Remuneration: fixed and variable based on objectives (to be defined according to profile)
- This position is eligible for partial teleworking (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 to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnic origin or disability.
In order to guarantee equal opportunities, we invite you to exclude personal information (for example: photos, age) from your applications. If you need special accommodations, please let us know 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 the management of applications. For further details on data processing, clickhere. Please contact hr.dataprivacy(at)doctolib.com with any questions or to exercise your rights.
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