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Data Analyst

Permanent contract
Paris
Salary: Not specified
A few days at home
Experience: > 2 years
Education: Master's Degree

Animaj
Animaj

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Job description

We’re building analytics engines based on our data platform to increase our channels’ performance and make data-informed decisions for our future creations. We rely on data from Youtube APIs to provide our digital and creative teams with capabilities to identify business opportunities better, understand audiences and kids’ entertainment content trends, and recommend optimizations for our IPs.

Animaj is now looking for a Data Analyst to:

  • model and understand what drives the performance of our content on different platforms;

  • influence our creative content strategy thanks to deep content analysis;

  • understand and model trends in the kid’s entertainment ecosystem on Youtube (and every other social media platforms);

  • model audience interests by country and age group;

You will report to the Head of Data, collaborate closely with the tech team, and support our digital and creative teams in their day-to-day objectives.

This is an excellent opportunity to join an entrepreneurial journey at an early stage and to introduce data-driven insights to animation content creation and distribution.

Responsibilities

  • Perform analysis of our channels, content performance, kids’ entertainment trends, and audience interests.

  • Deliver insights to inform our creative team about new content creation

  • Identify optimization opportunities for our YouTube channels, Facebook, and TikTok pages (metadata, publishing cadence etc.) through in-depth analysis

  • Produce performance reports and explain variations in the performance of our IPs on the different platforms

  • Leverage our data to validate/invalidate our digital and creative teams’ hypothesis


Preferred experience

  • A significant experience in collecting, analyzing, and making sense of large volumes of data;

  • Able to formulate questions and hypotheses based on an acute understanding of our business and challenges;

  • Comfortable using different statistical techniques to validate hypotheses;

  • Excellent execution, pragmatic, you master the analytics tool stack;

  • Excellent interpersonal skills, able to understand the needs defined by other than technical teams;

  • Excellent organizational and communication skills; ability to keep colleagues informed on time;

  • English proficiency and experience working in a multinational environment


Recruitment process

  • First Interview with our Head of Data (45’)

  • Case study

  • Final Interview with our CEO (45’)

  • Reference Check

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