Product Data Analyst

NEFCO Construction Supply LLC • East Hartford, CT

1h

About The Position

At NEFCO, we are building more than a distribution network—we are building the future of construction supply. As we continue our growth journey from $1 billion to $5 billion, high-quality product data is critical to delivering exceptional customer experiences, operational excellence, and scalable growth. We are seeking a Product Data Analyst who is detail-oriented, analytical, and passionate about turning data into a strategic advantage. In this role, you will help maintain, enrich, and optimize product information across multiple systems while driving automation, improving data quality, and supporting enterprise-wide data governance initiatives. If you enjoy solving complex data challenges, collaborating across departments, and building processes that scale, we'd love to hear from you.

Requirements

• Bachelor's degree in Business, Information Systems, Data Analytics, Computer Science, or a related field (or equivalent experience).
• 2-4 years of experience in product data management, master data management, catalog operations, analytics, or a related role.
• Strong SQL skills and advanced Excel proficiency, including Pivot Tables, Power Query, lookups, and data validation techniques.
• Experience working with ERP, PIM, or other enterprise data management systems.
• Understanding of ETL processes, data transformation, and workflow automation concepts.
• Strong analytical and problem-solving skills with exceptional attention to detail.
• Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment.
• Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders.
• Experience with business intelligence tools such as Power BI, Tableau, or similar platforms.
• Knowledge of Python or other scripting languages for automation and data manipulation.
• Experience working with APIs, ETL pipelines, FTP/SFTP integrations, or other data exchange technologies.
• Familiarity with Epicor Eclipse, Salsify, or similar ERP/PIM platforms.
• Experience in industrial distribution, manufacturing, construction supply, or wholesale environments.
• Exposure to AI-powered data enrichment tools, machine learning, or large language models (LLMs).
• Understanding of product taxonomy management, classification systems, and data governance frameworks.

Responsibilities

• Maintain and enrich product attributes including descriptions, specifications, classifications, images, dimensions, and identifiers (UNSPSC, GTIN, MPN) across ERP, PIM, and related systems.
• Source and validate missing product information from suppliers, manufacturers, and third-party data providers.
• Support new product onboarding by reviewing, validating, and enriching product data before deployment to downstream systems.
• Ensure product information remains accurate, consistent, and aligned across all platforms.
• Apply data quality standards and perform routine audits to identify gaps, inconsistencies, duplicates, and compliance issues.
• Monitor and improve data completeness, accuracy, and consistency through established governance practices.
• Build and maintain dashboards and reporting tools to track data quality KPIs, enrichment progress, and operational performance.
• Help establish best practices, ownership models, and documentation for product data management.
• Utilize SQL, Excel, Power Query, ETL tools, and AI-assisted technologies to automate data preparation, validation, and maintenance processes.
• Identify opportunities to reduce manual effort and improve scalability through workflow automation.
• Support ERP, PIM, and master data management initiatives that improve efficiency and data reliability.
• Assist with supplier integrations, catalog syndication, and product content distribution projects.
• Partner with Pricing, Supply Chain, Sales, Operations, Marketing, and IT teams to understand business requirements and translate them into actionable data solutions.
• Serve as a trusted resource for product data expertise across the organization.
• Train users on data standards, self-service reporting tools, and best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level