Master Data & Supply Chain Analytics Analyst (Hybrid NYC)

LVMH Group; New York (NY); Hybrid; USD 70,000 - 84,000; Full time

Benefits offered by this job

Health and wellness benefits

401(k) with company match

PTO and parental leave

Tuition reimbursement

Plum Benefits and Perkspot

Job summary

Moët Hennessy USA, Inc. is seeking an Analyst, Master Transactional Data to ensure readiness and quality of the supply chain data sets as part of MHUSA's 2030 transformation. This role is the key contact for data governance and supports enterprise data initiatives.

The office is hybrid 3x a week in NYC. You will own datasets, collaborate with IT and data teams to create a single source of truth in the Datalake and back up critical master data and pricing processes.

Qualifications

• 3+ years of Demand Planning or Data Science experience, preferably in a luxury environment / wine & spirits industry.
• Strong understanding of SQL and database management.
• Expertise in Excel and BI tools.
• Ability to collaborate with stakeholders and simplify technical terms for business users.
• Highly adaptable / agile to accept new ideas and drive change.

Responsibilities

• Manage Master Transactional Supply Chain datasets.
• Track and resolve Supply Chain data quality issues.
• Serve as the primary point-of-contact with MHUSA data governance team.
• Support business continuity of master data processes.

Skills

SQL

Excel

BI tools

Stakeholder management

Analytical skills

Education

Undergraduate or Master degree in Operations, Supply Chain Management or Data Science

Tools

Job description

Moët Hennessy USA, Inc. is seeking an Analyst, Master Transactional Data to ensure readiness and quality of the supply chain data sets as part of MHUSA's 2030 transformation. This role is the key contact for data governance and supports enterprise data initiatives.

The office is hybrid 3x a week in NYC. You will own datasets, collaborate with IT and data teams to create a single source of truth in the Datalake and back up critical master data and pricing processes.