Product Data Analyst

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.

What You'll Do

Product Data Management

• 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. 

Data Quality & Governance

• 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. 

Process Improvement & Automation

• 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. 

Cross-Functional Collaboration

• 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.  

Qualifications

• 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. 

What Success Looks Like

In this role, you will help create a trusted product data ecosystem that enables better decision-making and supports NEFCO's continued growth. Success means:

• Product data is complete, accurate, consistent, and easily accessible. 
• Data quality issues are identified and resolved proactively through scalable processes. 
• Automation reduces manual work and improves operational efficiency. 
• New product onboarding is streamlined, standardized, and repeatable. 
• Stakeholders across the business have confidence in the integrity and reliability of product data. 
• Data governance standards are clearly defined, adopted, and sustained.