Data Analyst

Qualifications & Skills

• Education: Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Experience: 2+ years of hands-on experience in a data analysis or reporting role, ideally within luxury retail, e-commerce, or high-value asset markets.
• Technical Skills: Strong proficiency in SQL for database querying, advanced Excel, and experience with data visualization platforms (Tableau/Power BI). Python or R knowledge is a strong advantage.
• Industry Passion: A keen interest in fine timepieces, luxury goods, or collectibles markets.
• Communication: Excellent ability to translate complex data sets into simple, compelling visual stories for non-technical stakeholders.

Key Responsibilities

• Market & Pricing Analytics: Track and analyze global secondary market pricing trends for ultra-luxury brands.
• Inventory & Sales Insights: Monitor inventory turnover, sell-through rates, and consignment metrics to optimize pricing and acquisition decisions.
• Dashboard & Report Creation: Build and maintain clear, automated dashboards and executive reports using tools like Tableau, Power BI, or advanced Excel.
• Data Cleansing & Management: Ensure high data integrity by organizing customer relationship management (CRM) records, sales pipelines, and global sourcing logs.
• Cross-Functional Support: Partner with the sales, marketing, and client advisory teams to deliver data-backed recommendations for private sales and collector events.

MGL