At Million Victories, we aim to bring the powerful emotions of Massively Multiplayer Online (MMO) games to millions of players : the thrill of epic battles, the pride of shared progress, the strength of a united community !

To achieve this, we are redefining the genre : we create unique, innovative, and accessible MMO games for mobile.

Since the launch of our first game, Million Lords, a real-time strategy MMO, we've seen steady and solid growth. Backed by the successful completion of a nearly $40 million funding round, including both primary and secondary investments, and supported by a team of 35 professionals, we are accelerating our growth to take our game to the next level.
- Our values : ambition, originality, respect.
- Our culture : we believe it's possible to pursue excellence within a culture of kindness.

At Million Victories, performance grows from trust, autonomy, and the richness of diverse backgrounds and perspectives.

Working at Million Victories means :
- Having your initiatives recognized and valued
- Enjoying real autonomy in how you organize your work
- Joining a welcoming, supportive, and committed team

Curious to see more ? Take a peek behind the scenes on our Instagram !

As a Senior Data Analyst, you'll be at the center of teams using data to impact decisions and improve gameplay. You'll conduct ad-hoc analyses, create dashboards, and test hypotheses. You'll work closely with game designers and marketing managers, helping them make smarter decisions grounded in data.

$You will :

• Partner with game designers to analyze gameplay data, identify opportunities for improvement, and support A/B testing and feature iteration
  
• Collaborate with the user acquisition team to optimize acquisition spend and improve ROAS predictions using model insights
  
• Create intuitive, actionable dashboards and reports, using Looker Studio or similar, to surface key insights across the company
  
• Design and interpret experiments to validate hypotheses and measure feature impact
  
• Help define and improve the data modeling layer, using dbt and BigQuery, to support analytics and ML use cases.
  

$You have :

• 4+ years of experience in data analysis with a strong foundation in product analytics and data visualization
  
• Strong proficiency in SQL and experience with BigQuery, dbt, or other modern data stack tools
  
• Solid Python skills for building and deploying ML models
  
• Comfort working with visualization tools like Looker Studio, Tableau, or similar
  
• A deep understanding of data from mobile games, apps, or B2C consumer products
  
• Experience collaborating cross-functionally with non-technical stakeholders
  
• Fluent in English, knowledge of French is a plus
  

If you're excited by the idea of working cross-functionally and translating between business needs and technical solutions, you're in the right place.

Contract : Full-time, based in Lyon, Paris, or remotely
Start date : As soon as possible
Median Salary : €50,000 per year

$Perks

Special perks :

• Hybrid work : 3 days remote per week
  
• Flexible working hours with the option of a 4.5-day week
  
• Opportunity to become a shareholder of the company
  

And of course :

• Lunch card : €8/day, 50% covered by the company
  
• Access to sports equipment in the office
  
• Training & conferences supported to help you grow
  
• Quarterly / Monthly team lunches and a Christmas gift card
  
• ...and more !
  

$Recruitment Process

We care about making this first exchange a meaningful one :

• 1/ Initial talk with Isabelle our Talent Acquisition Manager, to understand your background and walk you through the process
  
• 2/ Interview with William our Lead Data Analyst, to align on expectations and vision
  
• 3/ Case study to assess your problem-solving and strategic thinking
  
• 4/ Discussion with Omar, a Data Analyst of the Business Intelligence team
  
• 5/ Final interview with Charles our CMO & Benoit or Céline our co-founders.
  

Don't wait, send your application now !

CV, lettre de motivation, références, site Web (si applicable)

A l'attention de : Responsable du recrutement