Data Product Analyst All Genders
Data Product Analyst All Genders
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Job Description
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 Dailymotions products.
As a data product analyst you will be at the core of Dailymotions data transformation strategy. You will be part of a crossverticals 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 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 :
At Dailymotion weempowercandidates totakeaction.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)
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)
Fitness Subscription thanks to our partnership with Gymlib
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
