Data Analyst Pi Apprentice H/F - 75

LIVE THE MUSIC WITH US

From a pioneer tech start-up created in 2007, Deezer has become one of the first French unicorns and the second largest independent music streaming platform in the world.

At eighteen years old, we're only just coming of age. Now listed on #EuroNext, Deezer is a rapidly-growing, cutting-edge player in the music streaming market. If you want an environment where you can make your voice heard and be at the forefront of music and tech, look no further!

We believe music is all about embracing the things that make us different.

Deezer is a vibrant community that celebrates uniqueness, diversity and individuality, and thrives on collaboration.

Our international and passionate teams pride themselves on being at the forefront of the music experience, going beyond streaming and helping the world to Live the Music. We're constantly evolving alongside our customers, partners, artists and employees - striving to make Deezer the most personal and innovative streaming service in the world.

Ready for an electrifying journey? Apply now and do your part in bringing extraordinary music experiences to people's lives!

****Starting in January 2026

Partnerships are at the heart of our DNA and are one of the main drivers of our growth: today we are partnering with leading brands like Sonos, Orange, Google Home, T-Mobile, Fnac or Amazon Alexa..

The Partnership Analyst Apprentice is part of the B2B Data squad in charge of monitoring deals' performance, provide insights to XFN teams, contribute to product & partnership strategy, design and manage tracking plan, deliver dashboards and tools, investigate data discrepancies and act as the main point of contact for partners to discuss KPI

What you will do:

- Providing data visualisation and reports to PI teams and Partners
- Helping building product strategy and improvements through data analysis
- Collaborating with various teams such as Product and Tech, Commercial, Finance and Data
- Translating data into partner value and business recommendations
- Helping creating data processes and strategy for the PI team