Analyst, Master Transactional Data

Brobston Group LLC; New York (NY); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Moet Hennessy USA is seeking an Analyst, Master Transactional Data in New York City for a hybrid role that ensures readiness and quality of supply chain datasets. You will support data integration, mapping, and the creation of a single source of truth in the datalake to enable accurate reporting and smoother supply chain operations.

You will own and manage master datasets, collaborate with IT to implement dataset evolutions, monitor data quality, and serve as the data governance liaison with

Qualifications

• Undergraduate or Master degree in Operations, Supply Chain Management, Data Science, or related field preferred.
• 3+ years of Demand Planning or Data Science experience, preferably in luxury or wine & spirits.
• Strong SQL and database management skills with Excel and BI tools.

Responsibilities

• Own and manage master transactional supply chain datasets including depletions, inventory, and forecast.
• Collaborate with IT to implement dataset evolutions and expose data to business users.
• Ensure consistent mapping of external datasets with MH data and maintain data integrations.
• Monitor data freshness, accuracy, completeness, and validity and track/resolve data quality issues with IT and data teams.
• Serve as primary point of contact with MHUSA data governance and champion governance standards within Supply Chain.
• Document supply chain datasets and share data management best practices across business users.
• Support business continuity by backing up Data & Reporting Analyst tasks (SKU maintenance, distributor SKU mapping) and Pricing Analyst tasks (catalog and pricing maintenance).

Skills

Analytical mindset

Stakeholder management

Communication skills

Education

Bachelor's or Master's in Operations/Supply Chain/Data Science

Tools

SQL

Excel

BI tools

Job description

Summary

The Analyst, Master Transactional Data monitors and guarantees the readiness and quality of supply chain datasets for Moet Hennessy USA and serves as a key point of contact for data governance. This hybrid, NYC-based role supports data integration, mapping, and the creation of a single source of truth in the datalake to enable accurate reporting and supply chain operations.

Responsibilities

• Own and manage master transactional supply chain datasets including depletions, inventory, and forecast.
• Collaborate with IT to implement dataset evolutions and expose data to business users.
• Ensure consistent mapping of external datasets with MH data and maintain data integrations.
• Monitor data freshness, accuracy, completeness, and validity and track/resolve data quality issues with IT and data teams.
• Serve as primary point of contact with MHUSA data governance and champion governance standards within Supply Chain.
• Document supply chain datasets and share data management best practices across business users.
• Support business continuity by backing up Data & Reporting Analyst tasks (SKU maintenance, distributor SKU mapping) and Pricing Analyst tasks (catalog and pricing maintenance).

Requirements

• Undergraduate or Master degree in Operations, Supply Chain Management, Data Science, or related field preferred.
• 3+ years of Demand Planning or Data Science experience, preferably in a luxury or wine & spirits environment.
• Strong SQL and database management skills with expertise in Excel and BI tools.
• Advanced analytical skills, high attention to detail, and strong problem-solving and continuous improvement capabilities.
• Excellent collaboration and stakeholder management skills; ability to translate technical concepts for business users.
• Self-starter able to work with limited direction, set priorities independently, and drive change.