Data Analyst

NFI Parts • Winnipeg, MB

7d

About The Position

NFI Parts™ is North America’s most comprehensive organization providing parts, technical publications, training, and support for buses and motor coaches. NFI Parts is the parts division of NFI Group, providing replacement parts for New Flyer® transit buses, MCI® motor coaches, ADL buses, ARBOC® vehicles, as well as the product lines for the acquired NABI and Orion parts businesses. Additionally, NFI Parts has extensive cross references for parts that are common with other bus, coach, and cutaway product lines and has a mature supply base and established relationships with over 1,000 suppliers. Further information is available at www.nfi.parts.

POSITION GOAL:
Support a critical initiative aimed at eliminating part identification inconsistencies, incorrect cross references, and outdated product information that result in lost sales opportunities and customer confusion. This role is responsible for cleaning, managing, and maintaining the integrity of parts data across systems - ensuring accuracy, standardization, and usability for both internal teams and customers.

Requirements

• Education in Data Science, Statistics, or Business Analytics.
• Understanding of catalog data, cross-referencing, and product identification.
• Experience with ERP systems and product data management environments.
• Experience with data governance, process improvement, or LEAN methodologies.
• Proficiency with data management tools (e.g., SQL, Python, Excel Advanced functions, data cleansing utilities) and ERP reporting functionality.
• Familiarity with e-commerce or digital product content management systems
• Analytical mindset with strong attention to detail and the ability to identify and correct data inconsistencies.
• Ability to work independently and take full ownership of data quality objectives.
• Strong communication and documentation skills.
• Knowledge of cataloging practices and historical data structures.
• Strong organizational skills with the ability to manage large data sets and complex information structures.
• Problem-solving and root-cause analysis skills in data-related workflows.
• Ability to develop and document data standards and governance rules.
• Strong aptitude for identifying patterns, anomalies, and process inefficiencies within large data repositories.
• Ability to collaborate effectively across departments and communicate technical concepts clearly.

Responsibilities

• Audit and correct part naming conventions across multiple data sources.
• Re-establish and validate product relationships, including obsolete parts, alternates, supersessions, kits, and subcomponents.
• Standardize and validate cross-reference data, including OEM and vendor cross references.
• Identify and remove redundant, outdated, or unreliable written notes that hinder searchability.
• Ensure significant product data is accurately displayed in the e-commerce platform.
• Review, revise, or remove attachments (customer documents, photos, PDFs, drawings) to ensure accuracy and relevance.
• Reclassify parts into correct Category/Set/Class structures to improve catalog consistency ensuring new structure is communicated to Pricing Dept.
• Monitor and resolve data discrepancies in real time, ensuring alignment between ERP, catalog, and e-commerce systems.
• Ensure all product relationships remain accurate, including replacements, alternates, and component groupings.
• Revise customer-facing attachments and information to support correct and current product details.
• Collaborate with Engineering, Product Management, Procurement, Customer Service, and Business Systems to ensure data accuracy across all platforms.
• Maintain detailed documentation of data changes, rules, and governance standards.
• Design and document scalable data governance workflows to support long-term data integrity.
• Recommend system enhancements to improve product data handling, visibility, and consistency.
• Contribute to continuous improvement efforts to enhance catalog searchability, product accuracy, and customer digital experience.

Benefits

• Competitive Wages.
• A continuous learning environment.
• Ability to advance your career with a growing company.
• Ongoing employee development through a variety of in-house training initiatives along with tuition subsidies for courses at outside institutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed