Data Analyst (All Genders)

Job summary
Permanent contract
Paris
Salary: Not specified
Unknown
Experience: > 4 years
Skills & expertise
Generated content
Adaptability
Looker
Tableau
Sql
Python
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Dailymotion
Dailymotion

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Questions and answers about the job

The position

Job description

  • 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)
Additional Information

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: 


Preferred experience

  • 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)

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