Data Analyst at NFI Parts

Winnipeg, Manitoba, Canada -

Full Time

Start Date

Immediate

Expiry Date

06 Jun, 26

Salary

0.0

Posted On

09 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Cleansing, Data Auditing, Data Transformation, Data Classification, Data Management, Data Validation, Cross-Referencing, ERP Systems, Product Data Management, Data Governance, Process Improvement, SQL, Python, Analytical Mindset, Communication, Documentation

Industry

Motor Vehicle Parts Manufacturing

Description

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. Learn more at www.nfi.parts. 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Lead a critical initiative aimed at eliminating part identification inconsistencies, incorrect cross references, and outdated product information that result in lost sales opportunities and customer confusion.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 Identify and remove redundant, outdated, or unreliable written notes that hinder searchability.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. 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. Problem-solving and root-cause analysis skills in data-related workflows. Ability to develop, document, and enforce 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 WHY JOIN OUR TEAM: Competitive Wages. A continuous learning environment. Ability to advance your career with a growing company. NFI Group has been named a Manitoba Top Employer for 2020 and this is the tenth since the competition was established in 2007. Employee social committee organizes numerous events throughout the year, including summer barbecues, holiday festivities, sporting events and tournaments, and much more. Ongoing employee development through a variety of in-house training initiatives. HOW TO APPLY If you would like to apply for this position or know someone who would, please submit a resume. OUR WHY: We exist to move people. Our mission is to design and deliver exceptional transportation solutions that are safe, accessible, efficient and reliable. NFI Group is a leading independent global bus manufacturer providing a comprehensive suite of mass transportation solutions. News and information is available at www.nfigroup.com, www.newflyer.com, www.mcicoach.com, www.nfi.parts, www.alexander-dennis.com, www.arbocsv.com, and www.carfaircomposites.com.

Responsibilities

This role leads a critical initiative to eliminate part identification inconsistencies, incorrect cross-references, and outdated product information that cause lost sales and customer confusion. The primary responsibility involves cleaning, managing, and maintaining the integrity of parts data across various systems to ensure accuracy, standardization, and usability for internal teams and customers.