Richemont Media Data Analyst (Apprenticeship)
- Location
- Employment
- Internship
- Seniority
- Entry-Level
- Posted
- Mar 24, 2026
About Richemont
Richemont is a Swiss-based luxury goods group whose portfolio comprises several renowned maisons across jewellery, watches, leather goods and writing instruments. As an employer, Richemont offers an international, brand-driven environment that values craftsmanship, heritage and sophisticated client experiences while investing in digital transformation and data-driven decision-making across its maisons.
Richemont in Paris is hiring a Media Data Analyst (Apprenticeship) to support media measurement, reporting and campaign analytics.
Role & Responsibilities
- Collect, cleanse and aggregate media and marketing data from multiple sources to ensure data integrity for analysis.
- Build and maintain dashboards and regular reports to monitor campaign performance, media ROI and audience KPIs.
- Perform quantitative analysis to evaluate paid, owned and earned media effectiveness and propose optimisation opportunities.
- Support tag implementation and tracking configuration to improve measurement accuracy across web and app properties.
- Automate repetitive reporting tasks and develop reusable queries, scripts and data extracts.
- Collaborate with media buyers, marketing managers and external agencies to translate business questions into analytics deliverables.
- Present actionable insights and concise summaries to stakeholders to inform campaign planning and budget allocation.
Qualifications
- Enrolled in an accredited higher‑education program compatible with alternance (apprenticeship) in Data Science, Statistics, Economics, Marketing, Business Analytics, Computer Science or equivalent.
- Strong analytical aptitude with a rigorous, detail‑oriented approach to data quality and measurement.
- Ability to translate business objectives into measurement frameworks and KPIs.
- Excellent communication skills for presenting technical findings to non-technical stakeholders.
- Fluency in French is typically required for daily collaboration in Paris (not specified in source but common for on-site roles).
Skills
Experience
Suitable for early-career candidates or students; prior internships or project experience in media analytics, marketing measurement, digital reporting or business intelligence preferred but not mandatory.
Education
Currently enrolled in a Bachelor's or Master's program (alternance/apprenticeship-eligible) in Data Science, Statistics, Economics, Marketing, Business Analytics, Computer Science or a closely related discipline.
Workplace
This position is based in Paris, Île-de-France, France.
Culture
Richemont’s workplace combines the heritage and craftsmanship of luxury maisons with a progressive push toward digital and data capabilities. Teams are cross-functional and international, offering exposure to high‑value brands and a collaborative environment that balances tradition with analytical rigor.
About Cerulean
Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.
Frequently Asked Questions
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Richemont, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Media Analytics Intern», «Marketing Data Analyst Apprentice», «Digital Media Data Analyst Trainee», «Media Performance Analyst (Apprentice)», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.