Product Data Analyst

SKF

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

About SKF

We fight friction to move the world forward. 20% of all energy consumed is spent overcoming friction. At SKF were constantly fighting that friction to reduce energy waste and make the most of the resources we have. Since 1907 weve been making some of the worlds 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 were 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:

Were looking for a detail-driven Automotive Aftermarket Product Data Analyst to manage enrich and validate technical product data for our automotive parts catalog. Youll 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:

Bachelors degree in mechanical/Automobile engineering Automotive Technology or a related field

25 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


Required Experience:

IC

About SKFWe fight friction to move the world forward. 20% of all energy consumed is spent overcoming friction. At SKF were constantly fighting that friction to reduce energy waste and make the most of the resources we have. Since 1907 weve been making some of the worlds most innovative bearings seal...
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Key Skills

  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Data Visualization
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics

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