Business Analyst – EMEI Merchandising & Planning

About the role

As a Business Analyst within the EMEI Merchandising & Planning team at Christian Louboutin, you will support 51 stores across 20 countries by delivering statistical and CRM analysis that drives commercial decisions. Reporting to the Merchandising & Planning Director, you will work closely with retail, e‑commerce and central CRM teams to provide actionable insights.

Key responsibilities

• Provide sophisticated daily, weekly and monthly sales analysis, highlighting key messages versus forecast by product category.
• Report to top management with qualitative business insights on a weekly basis.
• Support the PMB team with ad‑hoc deep‑dive analysis to assess business risks and opportunities.
• Plan and create market‑visit trade reports for EMEI Managing Director, Retail Directors, Managers and the PMB team.
• Create, maintain and continuously improve Excel templates.
• Act as the expert on Business Intelligence (BI) tools and share expertise with business counterparts.
• Develop CRM analysis, define new KPIs and produce monthly customer business reports, behaviour analysis and cross‑selling studies.
• Collaborate with the central CRM team to build centralized reports.
• Promote an analytical mindset within retail and e‑commerce teams.
• Monitor data quality and ensure accurate reporting.
• Supervise the coordination and communication of weekly, monthly and annual trade decks to top management.
• Coach and develop team members, provide constructive feedback and conduct talent assessments.

Required profile

• Minimum of 3 years’ experience in a business analysis or similar role.
• Strong communication and interpersonal skills.
• Excellent attention to detail.
• Curious, open‑minded and “out‑of‑the‑box” thinking.
• Ability to manage multiple tasks and deliver on time.
• Experience in coaching or developing junior team members.

Required skills

• Advanced Excel.
• Business Intelligence (BI) tools (e.g., Power BI, Tableau).
• CRM analysis and reporting.
• Data quality monitoring.