Moët Hennessy Analyst, Master Transactional Data

New York New York USA

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While this position is no longer receiving submissions as of October 22, 2026, we invite you to explore further opportunities at Moët Hennessy or browse all open roles.

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Employment
Full-time
Seniority
Mid-Level
Compensation
$70,000–84,000/year
Department
Supply Chain, Logistics & Inventory
Industry
Wines, Spirits & Gastronomy
Posted
Aug 10, 2026

About Moët Hennessy

Moët Hennessy, the wines and spirits division of LVMH, brings together some of the world’s most storied maisons, uniting centuries of craftsmanship with a distinctly contemporary spirit. As an employer, it offers an international environment where heritage, excellence, creativity, and responsible innovation shape every profession, from vineyards and cellars to marketing, distribution, finance, and hospitality. The group values talent capable of honoring exceptional savoir-faire while anticipating the expectations of discerning consumers worldwide. Through its global reach, entrepreneurial culture, and commitment to sustainability, Moët Hennessy provides careers defined by prestige, purpose, and the pursuit of enduring luxury.

The Analyst, Master Transactional Data serves as the key point of contact for data governance and supply chain analytics within Moët Hennessy USA's transformation strategy. This role is responsible for managing, monitoring, and ensuring the quality of master transactional datasets across supply chain operations, including depletions, inventory, and forecasts, while championing data governance standards and resolving data quality issues in collaboration with IT and Data teams.

Role & Responsibilities

  • Manage and own master transactional supply chain datasets, ensuring consistent mapping of external datasets with internal systems
  • Monitor data freshness, accuracy, completeness, and validity across supply chain operations, collaborating with IT and Data teams to resolve quality issues
  • Serve as primary point of contact for MHUSA data governance team, championing data governance initiatives within the supply chain function
  • Ensure all supply chain data integration efforts are aligned from an enterprise perspective to build a unified 'one source of truth' data lake
  • Partner with IT and Data teams to document supply chain datasets and build best practices for data management across business units
  • Provide backup support for master data processes including SKU data maintenance, distributor SKU mapping, report creation, catalog maintenance, and pricing operations

Qualifications

  • Undergraduate or Master's degree in Operations, Supply Chain Management, Data Science, or related field
  • 3+ years of professional experience in Demand Planning, Data Science, or related analytical role, preferably within luxury goods or wine and spirits sector
  • Advanced proficiency in SQL and database management concepts
  • Expert-level competency in Excel and business intelligence tools
  • Demonstrated ability to translate technical concepts for non-technical business stakeholders
  • Strong systems and process knowledge with advanced analytical and problem-solving capabilities
  • Proven ability to work independently, set priorities, and adapt to evolving requirements

Skills

SQL Excel Business Intelligence tools Data governance Demand planning Data quality management Supply chain analytics Database management

Experience

3+ years of demand planning or data science experience, preferably in a luxury environment or wine and spirits industry. Strong understanding of supply chain operations and data systems, with the ability to balance competing stakeholder priorities in an innovative, agile environment.

Education

Undergraduate or Master's degree in Operations, Supply Chain Management, Data Science, or related field preferred.

Workplace

The role is situated in New York, New York, USA.

The setting New York

Explore jobs in New York or in the USA.

Compensation

The base compensation for this position ranges from USD 70,000 to USD 84,000 per annum.

Benefits

Medical, dental, and vision insurance; mental health support resources; fertility and family building programs; competitive salary; 401(k) retirement savings plan with company match; financial coaching; legal resources; commuter benefits; group rates for pet, renter, home and auto insurance; life insurance and disability coverage; hybrid work schedule; generous paid time off including vacation, sick leave, personal and wellness days; paid parental leave; training and continuing education opportunities; tuition reimbursement; Plum Benefits and Perkspot employee perks.

Culture

Moët Hennessy offers a workplace culture rooted in heritage, craftsmanship, and the art of hospitality, where employees contribute to some of the world’s most prestigious wines and spirits Maisons. The environment combines international collaboration with a strong commitment to excellence, sustainability, and innovation, encouraging teams to preserve tradition while shaping the future of luxury experiences.

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 Moët Hennessy, 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 «Data Analyst, Supply Chain», «Supply Chain Data Manager», «Master Data Analyst», «Data Governance Specialist», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.

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