Data Product Manager

Dailymotion is more than a video platform; it’s a visual conversation in motion, based on a unique algorithm designed to broaden users’ horizons. Dailymotion brings nuance to the debates that animate young people and puts listening, discovery, and kindness back at the heart of interactions to help build a better and safer Internet.

Dailymotion is also “Dailymotion Pro,” a video hosting and broadcasting solution for professionals in all industries, and “Dailymotion Advertising,” a powerful, proprietary video advertising stack offering a high-quality, secure environment for brands.
Our team is made up of 400 people in France, New York, and Singapore, all united by the same ambition: to visibly shake up the global video platform ecosystem.

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 in 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).

**Qualifications**:

- 2+ years of quantitative or statistical analysis experience.
- 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).

**Additional Information**:
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.

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.

J-18808-Ljbffr