Data Product Analyst All Genders
Data Product Analyst All Genders
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Job Description
Your main goal will be to empower data users & foster datadriven decisions by building harmonizing and evangelizing data products across all teams. Youll be involved into different data product initiatives & analyses with the aim of building mid/longterm 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 crossfunctional 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)
Qualifications :
- 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 fastpaced environment
- Strong interpersonal skills able to foster relationships with peers and both technical and nontechnical functions
- Values diversity and work well in a multicultural environment
- Fluent English (written and oral)
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 )
- Highend 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:
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
