Moët Hennessy is LVMH’s wines and spirits arm, a global leader in the luxury wines & spirits sector, recognized internationally for its exceptional and exclusive brands. These include, amongst others, Dom Perignon, Moët & Chandon, Veuve Clicquot, Krug, Ruinart, Armand de Brignac, and Mercier for Champagne; Hennessy, Belvedere, Glenmorangie, and Ardbeg for spirits; and a selection of still and sparkling wines from around the world, including Minuty and Chateau d’Esclans.
Moët Hennessy relies on a global distribution network to sell its wines and spirits in 160 countries, divided into regions: Europe, Asia Pacific, North America, Latin America, Africa & Middle East, and Global Travel Retail.
At Moët Hennessy, our mission is to craft experiences, and we do this guided by our values: Sharing, Elegance, Integrity, Spirit of conquest and Epicureanism. This is what unites us and makes us different.
Support the Business Controller and Controlling Director in understanding and evaluating the financial performance of the business by establishing reports of actual results and forecasts for MH Europe Middle East & Africa.
Key to success is managing large data sets and presenting them in a format that management can use for informed decisions. Coordinate with market Finance teams to consolidate market insights and management information for decision-making. Act as a Business Partner with other Functions, Markets and Maisons for MH EMEA, providing strong financial support to different stakeholders in the organization.
Preparing monthly performance reports (Volume, Revenue, Variance Analysis, PnL, Mid-month forecast).
Preparing quarterly overheads reports.
Forecast (Budget, LE1/LE2, R&O, PMT)
Maintain reporting and consolidation files regularly.
Manipulate and visualize big data sets with different tools to empower Management for effective decision-making (particularly Power BI and QlikSense)
Improve existing internal reports to gain efficiency.
Analysis & Business Partnering
Previous work experience in Finance or Commercial Data Analysis required
University degree or Business School and/or Academic degree in Business Analytics or Data Science
Understanding of basic accounting principles
Proficiency in Excel
Experience with data visualization tools such as Qlik Sense, Power BI, or ANAPLAN
Knowledge of programming languages such as VBA, R or Python is preferred
Ability to work under pressure and meet deadlines
Excellent interpersonal and communication skills (with all levels and functions of the business)
Strong motivation and ability to take initiative
Accuracy and strong attention to detail, with a willingness to learn and improve ways of working
Action and result-oriented, driving for improved performance