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…

• 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.
• 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.
• Measure: Analyze the impact of product releases on business metrics, as well as their impacts on products performances.
• Collaborate: Contribute to an iterative process of product improvement, collaborating seamlessly with cross-functional teams (engineers, developers, data scientists & analysts, product & business)
• 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)

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: 

• Dailymotion.com 
• New-York office - BuiltIn 
• Offices in France - Welcome to the Jungle 
• Our articles  

• 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)