Yannick N. Leflem
Data Analyst @AMI PARIS
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WORK HISTORY
Data Analyst @AMI PARIS
Ville de Paris, FR
Role & Scope• Lead ownership of workforce and compensation analytics in a fast-growing luxury organisation, covering both Corporate and Retail populations.• Key contributor to the structuring of reliable data foundations supporting financial planning and performance monitoring.Key Responsibilities & Projects• Took ownership of complex, business-critical analytics topics (headcount, payroll, compensation, commissions), acting as a single point of reference for Finance and Retail teams.• Led the end-to-end design of the Retail Commission Scheme, from business rules definition to implementation: o definition of performance thresholds and eligibility rules, o integration of real-time sales data, o development of commission calculation logic, o scenario simulations for management decision-making, o delivery of clear and auditable reporting.• Structured and modelled data from multiple enterprise systems to support budgeting, reforecasting and strategic workforce planning.• Proactively improved data reliability and process automation in collaboration with Finance and IT.Tools & Technologies• SQL & Data Modelling: Snowflake• BI & Reporting: Power BI• Advanced Analytics: Excel (Power Query, complex simulations)• Enterprise Systems: Cegid, ADP• Automation: Power Apps, Power Automate
EDUCATION
Emlyon Business School
Master's degree, Management
University of Paris I: Panthéon-Sorbonne
Licence, Économie
EPITECH - European Institute of Technology
AI in entrepreneurship
ABOUT YANNICK N. LEFLEM
Data Analyst shaped by very different environments, from early-stage startups to global luxury groups and data consulting firms. This journey has given me a rare ability to understand how data needs change with scale : from speed and pragmatism to robustness, governance and long-term impact.I don’t approach data as a reporting exercise. My work starts where the problem is often unclear: structuring messy data ecosystems, defining the right analytical frameworks, and turning complex questions into insights that actually influence decisions. I am deeply hands-on technically, especially in data modelling and analytics, but always with a clear business lens.Having operated both close to the product and close to top management, I know how to adapt my level of analysis to the audience and the context. Whether supporting strategic decisions, designing compensation schemes, or building data foundations from scratch, my focus remains the same: make data usable, trusted and impactful.
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