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03/02/2026
BALENCIAGA_Global Data Client & Insights Intern: Data and analytics - July 2026 (F/M)
Balenciaga - Student (Fixed Term) (Trainee)
Paris - France
About us
Founded by Spanish-born Cristóbal Balenciaga in 1917 and established in Paris in 1937, the original House of Balenciaga defined modern couture with its many innovations to form and technique.
Today it continues to uphold the vision of the House through boundary-pushing collections including women’s and men’s ready-to-wear, accessories, and objets d’art. The brand’s unprecedented interactions with the expanding digital realm, material developments, and today’s social responsibilities keep it at the forefront of modernity.
In 2021, Balenciaga’s 50th Couture collection—the House’s first since its founder retired in 1968 – reintroduces a standard of cutting-edge elegance.
From October 2015 to July 2025, Demna designed both men’s and women’s collections as the Artistic Director.
In July 2025, Pierpaolo Piccioli was appointed Creative Director of Balenciaga.
DESCRIPTION
RESPONSIBILITIES
Within the Global Client Data department, the Global Client Data Analyst Intern supports the development and optimization of CRM data assets, client database management, and analytics infrastructure. The role contributes to data structuring, data modelling initiatives, reporting automation, and BI initiatives across Balenciaga, enabling actionable insights to strengthen the client-centric strategy and enhance engagement and client retention.
Reporting & Analysis
- Support the production of both recurring and ad-hoc reports, including monthly client reports and product-specific analyses (e.g., purchase behavior).
- Conduct in-depth data analysis and generate actionable insights for internal stakeholders and clients.
- Contribute to machine learning initiatives related to client scoring and advanced data science analytics.
Data Management, Integration & Automation
- Assist in enhancing data quality and optimizing data extraction processes by leveraging SQL and programming skills (Python).
- Collaborate with team member to develop and improve BI tools, contributing to greater automation and efficiency in reporting workflows.
- Design and implement robust data integration workflows to onboard new data sources while ensuring consistency, reliability, and alignment across the global data architecture.
- Build, deploy, and maintain scalable client scoring models, ensuring robustness, performance, and seamless integration within the data ecosystem.
Cross-Functional Coordination
- Serve as the key point of contact between HQ and various regional teams, ensuring alignment and support related to the client database.
Project Management
- Support the coordination and delivery of global client data and technical initiatives.
- Act as a liaison between technical and business stakeholders to ensure alignment on project scope, priorities, timelines, and data requirements.
- Contribute to project planning, progress tracking, and documentation, ensuring smooth implementation and adoption across regions.
SKILLS
- Education: Master’s student or experience in Data Analytics, Business Intelligence, Data Engineering, or related fields.
- Technical Proficiency: Advanced SQL (data modeling, query optimization, performance tuning); Python for data manipulation, automation, and scripting; understanding of ETL processes and data pipeline architecture; experience with BI tool development (Power BI or equivalent). Interest in AI/advanced analytics is a plus.
- Analytical Thinking: Rigorous and detail-oriented with strong problem-solving skills and the ability to interpret complex datasets into meaningful insights.
- Organization & Agility: Well-organized and adaptable, able to manage multiple requests and shifting priorities in a fast-paced environment.
- Business Orientation: Business-minded with the ability to connect technical outputs to operational and strategic needs.
- Industry Awareness: Understanding of the luxury sector and client-centric strategies is a plus.
- Tools: Proficiency in Excel and PowerPoint.
- Languages: Fluent English, written and spoken; French is a plus.