Joining the Dailymotion Data Product Craft team means joining a diverse and dynamic team of more than 20 passionate data analysts and data scientists, to help us grow and build the evolution of Dailymotion’s products. 

As a data analyst, you will be at the core of Dailymotion’s data-driven strategy. You will be part of a cross-verticals team of other analysts responsible to support the product, business, and engineering teams with insights. You will collaborate closely with Product Managers, Monetization, Machine Learning, and Engineering teams. 

Your main goal will be to provide insights, based on which product decisions will be made. You will leverage complex and rich datasets to help decision makers better understand users experience on our platforms, player performances, monetization, ... 

Key responsibilities  

• Explore: Conduct exploratory analyses and leverage data to identify opportunities to improve business and optimize our products. Develop a deep understanding of our product and ecosystem for that purpose.  
• Experiment: Advise on the experimentation strategy adapted to the need and context. Define, conduct, and analyze AB tests.  
• 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. Monitor the evolutions in our audience and supply explain them.  
• Collaborate: Contribute to an iterative process of product improvement, collaborating with product managers, designers, developers, machine learning engineers and data engineers.  
• Communicate: Share findings through clear visualizations, engaging presentations and straight to the point recommendations.  

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 Google Data Studio for data visualizations and dashboards  
• Internal A/B testing tool (Python based)  

At Dailymotion, we empower candidates to take action. If this job sounds like a great opportunity for you, be confident in your skills, we are always happy to meet you! If needed, we can accommodate our recruitment process for your special abilities.

• Location: Paris (France)
• Start Date: ASAP
• Contract Type: Permanent & Full Time

🔍Want to learn more about us:

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

For the France offices 

• 🏡Hybrid Work Framework 
• 💰 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)  

• 2+ years of quantitative or statistical analysis experience  
• Ability to manipulate very large data sets, and analyze them  
• Experience with Machine Learning projects is a plus  
• Strong level in SQL and data visualization tools (Tableau, Google Data Studio)  
• R and Python for data analysis strongly appreciated  
• Passion for the use of data in a technical environment  
• 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)