Product Data Analyst

JOB DESCRIPTION

Job Title: Automotive Aftermarket Product Data Analyst

Role Type: Individual contributor

Location: Bangalore, India.

Department: Vehicle Aftermarket Product Data Research

Reports To: Global Product Data Research Lead

Job Summary:

SKF is a global leader in bearing technology and a trusted Original Equipment (OE) supplier to the worlds leading automotive manufacturers. Its Automotive and Vehicle Aftermarket division offers an extensive portfolio of high-quality repair components and system solutions for 2 wheelers, passenger cars, light trucks, and commercial vehicles. With over 20,000 product variations, SKF supports critical vehicle systems including wheel-end, engine, transmission, steering, suspension and driveline applications.

Drawing on decades of OE expertise, SKF delivers premium aftermarket solutions through a global network of more than 10,000 distributors and dealers. The business is built on innovation, complete repair kits, and advanced digital tools such as e-catalogues and technical training platforms.

In this data-driven ecosystem, vehicle part data serves as the lifeblood of SKF's aftermarket business. Accurate, comprehensive, and well-structured data is central to SKF's value proposition, enabling precise product identification, seamless Catalog integration, and enhanced customer experience. It empowers SKF to deliver the right part, at the right time, with the right support, strengthening trust and performance across the entire value chain.

Automotive is your passion, please join a young, motivated team.

We're looking for a data-driven Automotive Aftermarket Product Data Analyst to manage, enrich, and validate technical product data for our automotive parts catalog such as engine, chassis parts, wheel bearings, driveline products. You'll bridge the gap between Original Equipment (OE) specifications and SKF aftermarket cataloging systems, ensuring high data accuracy, vehicle fitment integrity, bringing value to our customers.

Key Responsibilities:

• OE Data Mapping: Research OE product references using external web-based parts catalogs and cross-brand databases, considering Form-Fit-Function of the product; collect OE supersession details and maintain vehicle application linkage.
• Catalog Enrichment: Interpret OE Product data collected, drawings, specifications, and supplier data to create complete, structured product listings in our database system.
• Data Validation: Apply logical analysis to detect inconsistencies, duplicates, and fitment conflicts of our vehicle parts.
• Process Documentation: Draft standard operating procedures, enrichment guides, and identify system improvement and enhancement to reach robust cataloging practices.
• Customer support: Liaise with SKF Global product line team and customer support teams to clarify catalog content and drive continuous improvement.

Expected Skills & Qualifications:

• Strong mechanical automotive systems knowledge (Powertrain, chassis, driveline, wheel, sensor products, etc.) to ensure proper part categorization and attribute mapping.
• Hands-on experience with OE external web-based parts catalogs, cataloging standards (e.g., TecDoc, ACES/PIES).
• Proficiency in Microsoft office 365 (Excel, Outlook, Teams, SharePoint ).
• Technical drawing interpretation skills (2D/3D).
• Attention to detail and a structured, logical approach to validation.
• Excellent documentation and communication abilities

Education & Experience:

• Bachelor's degree in Mechanical/Automobile engineering/Automotive Technology, or a related field.
• 2–5 years of experience in aftermarket cataloging, data management, or auto parts product analysis is an added advantage

Key Interfaces / Interactions in the Job:

• Regular: Engineers, Team members, Local & Global SKF internal stakeholders, Team Lead & Product Specialist.
• Periodic /on demand: SKF Product Line Management, Product Information Management Team, Customer Support team.