Data Analyst

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. NFI Parts maintains extensive cross-references for parts and has established relationships with over 1,000 suppliers.

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Position Summary
Lead a critical initiative aimed at eliminating part identification inconsistencies, incorrect cross references, and outdated product information that result in lost sales opportunities and customer confusion.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.

What You Will Do
Initial Data Clean-Up

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

Review and clean manufacturing data, including BOM inconsistencies, sourcing notes, and production details

Identify and remove redundant, outdated, or unreliable written notes that hinder searchability

Ensure significant product data is displayed in e-commerce platform for customer purchases through the ERP system

Ensure all technical data

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

Ongoing Data Management

Maintain robust processes for continuous data validation and updates across parts databases and content systems

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 Product Management, Engineering, Supply Chain, Customer Service, and IT to ensure data accuracy across all platforms

Maintain detailed documentation of data changes, rules, and governance standards

Process Improvement & Governance

Design and document scalable data governance workflows to support long-term data integrity

Recommend system enhancements to improve product data handling, visibility, and consistency

Train cross-functional teams on data entry standards, document management, and best practices

Contribute to continuous improvement efforts to enhance catalog searchability, product accuracy, and the customer digital experience

Requirements
WHAT YOU NEED TO BE SUCCESSFUL

Education in Data Science, Statistics, or Business Analytics

Understanding of aftermarket parts structure, catalog data, cross-referencing, and product identification

Experience with ERP systems and product data management environments

Demonstrated background in data cleansing, auditing, transformation, and classification

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 OEM Aftermarket Parts products, cataloging practices, and historical data structures

Experience with parts cataloging, inventory management, BOM structures, or manufacturing documentation

Familiarity with e-commerce or digital product content management systems

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

Strong organizational skills with the ability to manage large data sets and complex information structures

Pro…