- Company Name
- Média-Participations
- Job Title
- Stage - Data analyst pour le pôle Livre Europe (Edition francophone)- Media Participations - Pluriad
- Job Description
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Job title: Data Analyst Internship – European Book Division
Role Summary:
Intern will support data-driven decision-making for the European Book Division, focusing on sales, inventory, and market dynamics across French-language publishing houses. Duties include developing performance indicators, segmenting titles and clients, building predictive sales models, and creating dashboards for senior management.
Expectations:
Provide actionable insights and reliable data tools that influence strategy for publishing, distribution, and point‑of‑sale operations. Collaborate with business units and IT/BI teams to continuously improve data quality and analytical capabilities. Deliver clear, data‑based recommendations to executives on publication planning, inventory, and market positioning.
Key Responsibilities:
– Analyze market dynamics (sell‑in/out, genre, network, back‑list vs new releases, seasonality).
– Segment titles, customers, and sales channels using clustering and scoring techniques.
– Identify key parameters for predictive modeling (sales lifecycle, long‑tail potential, venue profiles).
– Build, test, and document predictive sales and inventory models to inform print runs, re‑issues, and store optimization.
– Design and maintain interactive dashboards in Power BI or Qlik for executive use.
– Automate data pipelines and analysis tasks with Python and SQL.
– Cleanse, merge, and structure data from multiple source systems (sales, stock, titles, clients, distribution).
– Work closely with IT/BI to evolve data sources, models, and delivery mechanisms.
Required Skills:
– Advanced data analysis and statistical modeling.
– Proficient in SQL and Python (pandas, scikit‑learn, etc.).
– Experience with business‑intelligence tools (Power BI, Qlik Sense or equivalent).
– Ability to handle large, heterogeneous datasets.
– Strong analytical, organizational, and problem‑solving skills.
– Excellent communication and collaboration across cross‑functional teams.
Required Education & Certifications:
– Enrollment or completion of a top-tier engineering, data science, or analytics program (e.g., Grandes Écoles, equivalent).
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