Balenciaga - Global Data Client & Insights Data & Analytics Intern - January 2027 F - M H/F Kering

Job description

Context of the Internship

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.

Objectives of the Internship

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 machine learning initiatives related to client scoring, clustering and data science projects.

Data Management, Integration & Automation

• Assist in enhancing data quality and optimizing data extraction processes by leveraging SQL and programming skills (Python).

• Collaborate with team members to develop and improve BI tools, contributing to greater automation and efficiency in reporting workflows.

• Participate in the design and implementation of robust data integration workflows to onboard new data sources, ensuring data quality, consistency, reliability, and alignment across the global data architecture.

• Participate in the brand's data science projects (AI models, clustering, client scoring, etc.).

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.

• Ensure the handling and follow-up of reported issues, directing them to ticket creation, performing troubleshooting, and identifying bugs and data issues across platforms.

• Contribute to project planning, progress tracking, and documentation, ensuring smooth implementation and adoption across regions.

Profile Sought

• Education: Master's in engineering School 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 the luxury sector and client-centric strategies is a plus.

• Tools: Proficiency in Excel and PowerPoint.

• Languages: Fluent English, written and spoken.

Why work with us ?

Balenciaga is committed to fostering your professional development within the House and the Kering Group. We encourage our managers to create high-performance teams that strive for excellence. We support each of our employees so that they can express their full potential in a stimulating and fulfilling work environment.

Diversity Commitment

Balenciaga is committed to fostering a diverse workforce. We believe that diversity in all its forms - gender, age, nationality, culture, disability, sexual orientation... - enriches the workplace and our client experience. As an Equal Opportunity Employer, we welcome all applications and select our talents based on competencies and in alignment with our brand behaviors. Setting people for success is what we live for. It is part of our interview process to discuss with you how to excel in our company.