Lead Marketing Data Analyst

About the role

We are on the lookout for a Lead Marketing Data Analyst to become the key analytical expert within our B2B Performance Marketing team. In this role, you will be responsible for transforming intricate cross-channel data into practical insights that will inform our investment strategies, targeting efforts, and overall growth initiatives.

Key facts

• Location: Levallois-Perret, France
• Engagement: Full-time permanent contract (CDI)
• Team: B2B Performance Marketing

What you’ll do

• Lead the management of multi-touch attribution models that encompass SEO, paid acquisition, and CRM channels to optimize marketing performance.
• Supervise the analysis of Lifetime Value (LTV) and Sales Acquisition Cost (SAC) metrics by segment and cohort, delivering comprehensive monthly reports to the leadership team.
• Collaborate with Sales Operations to develop and enhance machine learning-based lead scoring models that improve lead quality and conversion rates.
• Ensure the integrity and documentation of data for the Digital Analyst and CRM Tooling & AI specialist, maintaining high standards of data reliability.
• Automate the creation of performance dashboards and implement AI-driven narrative reporting to streamline insights delivery.
• Work alongside Data Product Managers to establish standardized metrics and data definitions, fostering consistency across the organization.
• Conduct in-depth analysis of marketing campaigns to identify trends and opportunities for optimization, providing actionable recommendations.
• Engage in cross-functional collaboration with marketing, sales, and product teams to align on data-driven strategies and initiatives.

Requirements

• A minimum of 7 to 10 years of experience in growth, marketing, or business analytics, ideally within B2B SaaS environments.
• Strong proficiency in SQL, with experience in BigQuery or similar data environments.
• Demonstrated expertise in attribution modeling, incremental testing, or Marketing Mix Modeling to drive marketing effectiveness.
• Experience in optimizing funnels, cohort-based LTV/SAC modeling, and defining key marketing performance indicators (KPIs).
• Familiarity with data visualization tools such as Tableau, Amplitude, Looker, or Metabase to present data insights effectively.
• Bilingual proficiency in French and English, allowing for effective communication in a diverse work environment.

Nice to have

• Proficiency in programming languages such as Python or R for advanced statistical modeling and machine learning applications.
• Understanding of product-led growth strategies that can enhance marketing effectiveness.
• Previous experience in mentoring or managing junior analysts, contributing to team development.
• Knowledge of the German language is a plus, enhancing communication with broader teams.

Skills & tools

• SQL, BigQuery, Python, R, Amplitude, Tableau, Looker, Metabase.

Practical notes

• The compensation package includes a base salary complemented by variable performance-based incentives.
• Benefits include comprehensive health insurance coverage for employees and their children, along with 25 days of paid vacation and an additional 12-14 RTT days.
• Employees can participate in the DoctoGrowth share plan and receive meal vouchers valued at 8.50 EUR per day.
• We promote a healthy work-life balance, offering two days of remote work each week and the option for 10 days of remote work from abroad annually, along with access to a mental health program through Moka.care.
• Family support initiatives include an extra month of parental leave via the Parent Care program, ensuring a supportive environment for working parents.
• New hires will undergo a comprehensive three-month onboarding program, which includes training through the Doctolib Academy.
• Commuting costs are partially covered, with a 50% reimbursement for public transport expenses.
• We are committed to supporting international mobility, providing accommodations for disabilities, and assisting caregivers.
• The recruitment process consists of an initial interview with a recruiter, a meeting with the hiring manager, a case study presentation, a final interview with leadership, and reference checks to ensure a thorough selection process.