Your main goal will be to provide insights, based on which product decisions will be made. You will also focus on empowering data users & fostering data-driven decisions by building, harmonizing and evangelizing data assets across all teams. You’ll be involved into different product initiatives & analyses with the aim of building mid/long-term assets, helping our decision makers better understand users experience on our platforms, player performances, monetization…
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Explore: Understand our stakeholders needs & main pain points and leverage data to identify opportunities to improve business, optimize our products and create data assets. For that purpose, develop a deep understanding of our products & ecosystem, as well as a deep knowledge of the data lifecycle.
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Empower: Evangelize on the use of data in the company, train colleagues on analytics tools, build automated dashboards and assets to enable stakeholders to be as autonomous as possible with data.
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Measure: Analyze the impact of product releases on business metrics, as well as their impacts on products performances.
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Collaborate: Contribute to an iterative process of product improvement, collaborating seamlessly with cross-functional teams (engineers, developers, data scientists & analysts, product & business)
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Communicate: Share findings through clear visualizations, engaging presentations and straight to the point recommendations.
Examples of data assets: internal analytics platform, new data pipeline, AB test analysis framework, forecast model…
Examples of analyses use cases: video recommendation models, search algorithms, supply optimization, player performances optimization, ...
Our stack
- Data Lake in Google Big Query: writing complex SQL queries is a daily practice (+ using R and Python for specific needs)
- Tableau and Looker Studio for data visualizations and dashboards
- Internal A/B testing tool (Python based)
- 2+ years of quantitative or statistical analysis experience
- Ability to manipulate very large data sets, and analyze them
- Strong level in SQL and data visualization tools (Tableau, Looker Studio)
- R and Python for data analysis strongly appreciated
- Passion for the use of data in a technical environment
- Strong interest for digital product strategy
- Adaptability with tools
- Proactivity and creativity with data
- Strong communication skills and ability to manage a project with different teams
- Strong interpersonal skills, able to foster relationships with peers and other functions
- Values diversity and works well in a multi-cultural environment
- Fluent English (written and oral)
What we offer you:
• Additional opportunities as we grow and learn together.
• Join our open, collaborative culture.
• Exciting, dynamic projects to work on.
• Flexibility.
For the France offices
- 🏡Hybrid Work Framework Flexible
- 💰 Saving Plan Vivendi
- 🍼 Paternity leave or Coparental leave extended
🕶️ Living Employee Culture (Events / Trainings / Partys / All hands / Dailymotion tradition…)
- 🚀 Career development support (training / internal mobility / compensation cycle / 360 quarter feedback review …)
- 🏥 High-end Health Insurance and Personal Services Vouchers (CESU)
- ⛱️ Paid Time off – RTT and Saving time plan (CET)
- ✅ Meal Vouchers – Public Transport and Bike refund
- 🎡 European Economic and Social Committee (sport membership/cinemas vouchers/gift vouchers/discount)
🔍Want to learn more about us:
