Data Analyst

Animaj; Paris; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

Une entreprise dynamique à Paris recherche un Analyste de Données Créatif. Le candidat idéal jouera un rôle essentiel dans l'analyse des performances du contenu, la gestion de projets et la communication des insights aux équipes créatives. Une expérience solide en SQL et Python, ainsi qu'une passion pour les données et la créativité, sont des atouts considérables pour ce poste.

Qualifications

• Capacité d'analyse des données et des performances de contenu.
• Compétences en gestion de projet et en communication.
• Expérience avec les frameworks analytiques et contentieux créatifs.

Responsabilités

• Analyser la performance des vidéos YouTube et fournir des recommandations.
• Développer des processus d'automatisation pour la collecte de données.
• Gérer la communication des résultats analytiques aux équipes non techniques.

Connaissances

Analyse des données

Gestion de projet

Communication

Créativité

Outils

SQL

Python

APIs

Description du poste

Le poste

Descriptif du poste

As a Creative Data Analyst at Animaj, you won’t just analyze data—you’ll take ownership of end-to-end projects that drive impact across the company and you’ll combine data analytics with creative insights to uncover what makes content resonate with audiences.

This is not a traditional data analyst position — you’ll play a key role in shaping creative decisions by analyzing YouTube videos and other content platforms through both a technical and creative lens.

Beyond analytical skills, you’ll need strong project management abilities to design, implement, and automate new processes that empower our teams to make smarter, data-informed content. You’ll be at the intersection of analytics, creativity, process innovation, and operational execution, making your role critical to Animaj’s continued success.

Responsibilities

1. Creative Content Performance Analysis

   • Watch and analyze YouTube videos to identify key creative elements that drive performance (e.g., structure, pacing, themes, titles, thumbnails).

   • Analyze key performance metrics across platforms like YouTube, Spotify, Apps and much more.

   • Deliver actionable recommendations on themes, topics, and formats to guide creative and production teams.

   • Translate creative patterns into data-backed strategies for improving content quality and performance.

2. Audience Modelling, Insights and Metadata Optimization

   • Better understand our audience through trending themes, characters, or formats in the kids’ entertainment space. Translate these insights into actionable strategies for our existing and future IPs.

   • Analyze audience behavior by region, and platform to inform content and distribution strategies.

   • Monitor and optimize metadata (thumbnails, tags, titles) to improve discoverability and engagement.

   • Conduct experiments and surveys to refine audience insights.

3. Data source improvements, Process Automation and Infrastructure

   • Develop and implement automated data collection and preprocessing pipelines to streamline insights delivery.

   • Standardize reporting frameworks to improve efficiency and ensure data consistency across all teams.

   • Explore and integrate new data sources, such as gaming app metrics, website performance, and social media analytics.

4. Reporting, Communication and Cross-departmental collaboration

   • Create dynamic, visually engaging dashboards and reports on the performance of our assets that deliver clear insights to non-technical teams.

   • Present insights and recommendations to key stakeholders, ensuring alignment with business goals.

5. End-to-End Project Management

   • Own and deliver full-cycle projects: define objectives, design workflows, implement solutions, and measure success.

   • Collaborate with stakeholders across departments (Marketing, Creative, Production) to understand their needs and translate them into actionable analytics projects.

   • Ensure successful execution of new processes, including automating repetitive tasks and integrating insights into decision-making.

Profil recherché

• A curious, proactive and analytical mindset, comfortable navigating ambiguity and taking initiative to solve problems.

• Strong project management skills, with a track record of owning and delivering end-to-end projects.

• Exceptional communication skills, with the ability to convey complex insights to non-technical teams.

• Experience in YouTube content analysis, with an understanding of creative frameworks is a real plus.

• Understanding of SQL and Python (or R) for data manipulation and automation and adaptability to different tools.

• Understanding of A/B testing and statistical methods.

• Experience with APIs (e.g., YouTube APIs) and data infrastructure and pipeline frameworks is a plus.

Déroulement des entretiens

• Screening call with our Data Analyst

• Take Home - Case Study

• Case Study Restitution with our VP Engineering and Data Analyst

• Final interview with our CEO or VP Engineering