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 product analyst, you will be at the core of Dailymotion’s data transformation strategy. You will be part of a cross-verticals team of other analysts responsible to support the product, business, and engineering teams with insights & data assets. You will collaborate closely with product managers, business teams, developers, machine learning & data engineers

Key responsibilities:

• Your main goal will be to empower data users & foster data-driven decisions by building, harmonizing and evangelizing data products across all teams. You’ll be involved into different data 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, AI internal data assistant (text to data insights…)

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

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!  

Location: Paris, France

Type of contract: Permanent

Start Date: ASAP 

🏡Hybrid Work Framework (4 types of remote work, depending especially on the needs of your position) : Full office/Flex office (1 to 2 days remote)/Flex remote (1 to 2 days at the office)/Full remote, ability to work 3 months abroad)

💰 Saving Plan Canal +

🍼  Paternity leave or Coparental leave extended 

🕶️  Living Employee Culture (Events/Trainings/Parties/All hands) 

🚀  Career development support (training/internal mobility/compensation cycle/360 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) 

⚽Fitness Subscription thanks to our partnership with Gymlib

• 2+ years of quantitative or statistical analysis experience
• Strong interest for digital product strategy
• Understanding of the main concepts of data modelling, databases, and data management practices
• Ability to manipulate very large data sets, and analyze them
• Strong level in SQL and data visualization tools (Tableau, Looker, Looker Studio)
• Experience with Kibana, Python, R is a plus
• Passion for the use of data in a technical environment
• Proactivity and creativity with data
• Responsible and able to work with different projects in parallel in a fast-paced environment
• Strong interpersonal skills, able to foster relationships with peers and both technical and non-technical functions
• Values diversity and work well in a multi-cultural environment
• Fluent English (written and oral)