Product Data Analyst

About SKF

We fight friction to move the world forward. 20% of all energy consumed is spent overcoming friction. At SKF, we’re constantly fighting that friction, to reduce energy waste and make the most of the resources we have. Since 1907, we’ve been making some of the world’s most innovative bearings, seals, and lubrication systems to reduce friction. But we are selling something bigger. Less friction means more energy saved.

By seeking out and reducing friction, we’re making industry smarter, more competitive, and more energy efficient. And in collaboration with other forward-thinking companies, actually tackling some of the most pressing challenges of our time. Ultimately, helping to build a more sustainable future where we can all do more with less.

JOB DESCRIPTION

Job title: Product Data Analyst

Role Type: Individual contributor

Job Title: Automotive Aftermarket Product Data Analyst

Location: Bangalore

Department: Global Product Data Research Team

Reports To: Global Data Research Lead 

Job Summary:

We’re looking for a detail-driven Automotive Aftermarket Product Data Analyst to manage, enrich, and validate technical product data for our automotive parts catalog. You’ll bridge the gap between OE specifications and aftermarket cataloging systems, ensuring high data accuracy, vehicle fitment integrity, and rapid onboarding of new SKUs into our STEP/PIM environment.

Key Responsibilities:

• Catalog Enrichment: Interpret OE drawings, specifications, and supplier data to create complete, structured product listings (Form-Fit-Function validated).
• Data Validation: Apply logical analysis to detect inconsistencies, duplicates, and fitment conflicts across platforms (STEP- Master Data Management Database, TecDoc, Product Information Management (PIM) etc.).
• OE Data Mapping: Research OE references using Electronic Parts Catalogue (EPC) and cross-brand databases; maintain lineage and supersession details.
• Tool Utilization: Operate Excel, Power Query to manage bulk data updates; assist in automation of QA processes.
• System Knowledge: Understand vehicle systems (engine, suspension, electrical, etc.) to ensure proper categorization and attribute mapping.
• Process Documentation: Draft SOPs, enrichment guides, and change requests in alignment with cataloging best practices.
• Audit & Quality Control: Hands-on periodic audits, maintain scorecards, and collaborate with QC teams to improve data quality.
• Collaboration: Liaise with sourcing, tech, customer support, and vendor teams to clarify catalog content and drive continuous improvement.

Expected Skills & Qualifications:

• Strong mechanical/automotive systems knowledge
• Hands-on experience with OE data portals, STEP databases, or PIM systems (e.g., TecDoc, ACES/PIES)
• Proficiency in Excel and data tools (VLOOKUP, Pivot Tables, Power Query, Power BI & Advanced Excel)
• Technical drawing interpretation skills (2D/3D CAD a plus)
• Attention to detail and a structured 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

D. KEY INTERFACES / INTEARCTIONS IN THE JOB

Regular - Engineers, Team members, Local & Global SKF stakeholders, technical lead, Technical Expert

Periodic /on demand - SKF Product Line Management team, SKF -PIM, Data management team

If you have any questions about the position or regarding the recruitment process, please contact Sonam Dalal, Consultant, RPO by sonam.dalal@skf.com