Data Marketing / Membership Consultant

Project overview

Context

The Customer Relationship domain brings together the teams responsible for customer insights, pricing, and loyalty program management (Membership).

The consultant will leverage strong analytical expertise and strategic vision to optimize the member lifecycle, evaluate the effectiveness of loyalty mechanics, and stimulate long-term engagement. In close collaboration with Membership Product Managers and Business Managers, they will play a key role in measuring the program's incrementality. The ultimate goal: maximize customer lifetime value (LTV), optimize the generosity of loyalty offers, and ensure the reliability of engagement data.

The loyalty program is at the heart of customer retention, brand attachment, customer satisfaction, and loyalty. Deployed in 51 countries, it is one of the company's growth pillars. Directly integrated into the Loyalty project team, you will have the opportunity to contribute to its success through in-depth analysis of customer behavior and studies of the business and profitability impact of the loyalty program.

Missions

Membership Program Management & Performance (Strategic Pillar) :

Member Lifecycle Analysis & Incrementality :

Experimentation :

• Define, track, and optimize key success indicators (KPIs) for the loyalty program (penetration rate, activation rate, repurchase, attrition, cost and value of rewards).
• Evaluate the profitability, ROI, and economic impact of benefits, offers, and reward mechanics granted to members.
• Design in-depth analysis models for member purchasing and engagement behaviors (LTV, churn, status migration, cohort retention).
• Measure the actual incrementality generated by the loyalty program compared to non-member customers (control groups, matching methods).
• Build, manage, and analyze complex experiments (A/B tests, gamification mechanics, new enrollment journeys) to optimize engagement.

Responsibilities

Expected Deliverables

Technical Stack

Working Conditions

• Analytical Frameworks: Design scalable analytical frameworks to extract insights from the Customer ecosystem and the loyalty program.
• Experimentation: Build, manage, and analyze experiments such as A/B tests.
• Business Partnership: Work in close collaboration with various stakeholders (Product Managers, Business Managers, Data Engineers, and Data Managers) to qualify their needs and translate them into relevant analytical problems.
• Strategy: Conduct studies to improve the understanding of the loyalty program and identify new strategies.
• Advanced Analytical Studies: Presentation of customer behavior studies translating business/product issues into concrete and actionable recommendations.
• Experimentation Reports: Detailed reports on A/B tests and experiments (causal inference) to validate business hypotheses.
• Data Preparation & Documentation: Clean and reliable datasets, respecting the ethical framework for personal data. Complete documentation of sources, assumptions, and methods.
• Data Processing: Advanced proficiency in SQL and Python.
• Environment: Strong experience with Databricks.
• Marketing Tech: Knowledge of the Salesforce Marketing Cloud (SFMC) ecosystem and its data models.
• Position based in Paris. Hybrid work policy requiring 2-3 days on-site.
• Languages: Fluency in French (fluent) and professional English required.

Project details

• Start: flexible
• Remote: hybrid
• Location: Paris, France, FR
• Languages: French