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 DoProduct 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.
Requirements
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 LikeIn 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.
