Job Specifications
Who we are :
At MYM, we make no secret of it: we have the ambition to become the leading platform for exclusive content in France and internationally. How? By enabling all Content Creators, through our platform, to guarantee the exclusivity, authenticity and originality of their creations to their users. MYM's Superpowers?
Power to the Creators I Content creators are paid directly by users, for their content, via a paid subscription they manage with complete autonomy
Authenticity for the Users I By subscribing to their favorite creators, users gain access to exclusive content, shared nowhere else
An Infinite Range of Possibilities I Photos, Videos, Stories, Lives, Chat… Users and Creators build, through MYM, an exclusive relationship immensely rich in content
What you will do :
You will join the Data Team, reporting directly to our Lead Data. Your mission is to bridge the gap between raw data and business insights by building a robust, scalable, and high-performance data warehouse. You will empower over 50 employees across Product, Growth, and Finance teams by making data accessible and reliable. Supporting 19M users and 130k Daily Active Users (DAU).
In this role, you will:
Build & Model: Design and implement efficient, robust data models from a wide variety of sources to serve as our "Single Source of Truth".
Help define and manage the tracking plan to ensure complete coverage of all features.
End-to-End Ownership: Manage the entire data lifecycle, including ingestion, transformation, and usage through visualization and reverse ETL.
Technical Implementation: Participate in deploying new solutions for tracking, self-service analytics, and real-time data processing.
Data Excellence: Implement solutions to improve data quality, documentation, and versioning.
Key Data & Metrics you will handle
You will steer our strategic roadmap by overseeing a comprehensive range of metrics:
Business Macro KPIs: Monitor and forecast Revenue (CA), ARR, MRR, Margin, and LTV across our ecosystem of Users, Creators, Ambassadors.
Marketing Performance & Analysis: Evaluate the marketing mix by identifying the best acquisition and retentions methods for all kind of users.
Predictive Modeling: Implement sophisticated alerting systems and scoring models to identify user fragility and subscription potential.
Deep-dive & Cohort Analysis: Conduct granular analyses of User, Creator, and Ambassador cohorts based on acquisition channels, devices, geography, and spending habits.
User Lifecycle & Funnel: Analyze retention rates and monitor the full funnel from acquisition and engagement to long-term loyalty.
Global Usage Patterns: Synthesize global platform usage data to provide evidence-based arguments for product evolution.
Who you will work with :
We focus on feature delivery within our squad organization. A squad is composed of a Product Manager, a Product Designer, a Technical Lead, and Back-end, Front-end, and QA engineers as usual but also Analytics and Machine Learning Engineers as appropriate.
As an analytics Engineer, you will:
Guide the teams in the design and architecture of their deliverables/solutions integrating Data. You share ownership of the platform’s data schema with the back-end team.
Help build the foundations of our data platform in close collaboration with the Lead Data
Partner with the Product Manager to engage with the squad and the stakeholders and define the appropriate technical and product strategy.
Present advanced business insights and data syntheses to stakeholders using factual, evidence-based arguments.
What we are looking for :
Experience
Background: 3 to 5 years of experience as an Analytics Engineer in AdTech / MarTech or high-traffic environments. Specialized Skills: Experience with Tracking, CDP, Data Marketing, and AB Testing. Analytical Depth: Proven experience in predictive analysis and scenario building.
Technical foundation
SQL & DBT Mastery: Advanced expertise in SQL and deep experience with DBT for data transformation.
Data Modeling: A strong appetite for data modeling and building scalable architectures. Analytics & Statistics: Proficiency in statistics and experience with Product Analytics and BI tools.
Programming & Cloud: Solid experience with Python and knowledge of AWS environments (Redshift, Spectrum) and DevOps basics.
High-Volume Optimization: Ability to optimize data processes for high-traffic environments.
What we value :
Curiosity & Drive: You relentlessly seek the why and how. You read the manual, experiment, and challenge the status quo to find smart, efficient solutions.
Accountability: You adopt an Extreme Ownership mindset, believing success is always within your scope of action. You focus solely on achieving results.
Positivity & Focus: You maintain an unwaveringly positive attitude. You prioritize finding solutions and opportunities over enumerating obstacles or excuses.
Structured Argumentation: You rigorously structure and document ideas, co