Analytics Engineer

mym; Paris; Hybride; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

1 remote working day per week

Résumé du poste

MYM is looking for an Analytics Engineer to bridge data and business insights within the Data Team. You will design scalable data models and ensure data reliability for Product, Growth, and Finance, supporting millions of users.

You will own the data lifecycle, participate in deployments for real-time analytics, and collaborate with squads to deliver visibility and impact across the organization.

Qualifications

• 3–5 years of experience as an Analytics Engineer in AdTech / MarTech or high-traffic environments.
• Experience with Tracking, CDP, Data Marketing, and AB Testing.
• Strong SQL, DBT, and data modeling skills.

Responsabilités

• Build & Model: Design and implement data models as a single source of truth.
• Help define and manage the tracking plan covering features.
• End-to-End Ownership: manage ingestion, transformation, and usage of data.

Connaissances

SQL

DBT

Python

AWS

Redshift

Data Modeling

Analytics

Statistics

DevOps basics

Tracking

CDP

AB Testing

Data Marketing

Outils

DBT

Redshift

Description du poste

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

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.

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, communicating key messages using factual, evidence-based arguments.

Collaborative Excellence: You are committed to continuous improvement for yourself and the team, actively learning from all errors to drive collective growth.

• Languages: Python, SQL.
• Datawarehouse: AWS Redshift / Spectrum.
• A rewarding experience in a dynamic and stimulating environment, within demanding tech teams where every idea matters.
• 1 remote working day per week for a better Work-Life Balance.
• Great moments with colleagues, afterworks, team breakfasts, team buildings.

Recruitment process:

• Interview with Omar, our Chief People Officer (30 minutes)
• Interview with Sébastien, Chief Engineer, Product & Data Officer