Data Product Analyst All Genders H/F - Dailymotion Paris - 75
- Bac +5
- Média • Internet • Communication
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
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)
- 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)
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
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)
- 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)
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