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Senior Data Analyst W/M/NB

Million Victories

L'entreprise : 

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 !

Le poste :

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.

Le profil :

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.

Avantages et informations complémentaires: 

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

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 !

A fournir :
CV, lettre de motivation, références, site Web (si applicable)
A l'attention de : Responsable du recrutement

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