Supplier Master Data Specialist

About Autobia

Autobia is a Saudi technology company established in Dammam in 2021. The company focuses on building an ecosystem to support the growth of the traditional retail sector, with its most developed vertical being the auto parts market. We are currently seeking a Supplier Master Data Specialist to join our team in Riyadh, Saudi Arabia.

The Role

The Supplier Master Data Specialist will be responsible for ensuring the accuracy and integrity of supplier pricing data. This full-time role involves monitoring compliance with agreed quotations, preparing accurate pricing files, and maintaining parts and price master data within the system. The specialist will report to the Supplier Relations Manager and collaborate with Sales and Procurement teams to ensure pricing data is clean, compliant, and up to date.

Key Responsibilities

• Receive, review, and format supplier quotations, verifying accuracy before submission for approval.
• Conduct daily reviews of system prices against agreed supplier rates and report any discrepancies or unapproved changes.
• Update system prices based on newly approved supplier quotations.
• Upload prices, descriptions, and brand information for new parts into the system.
• Deactivate unavailable parts and maintain complete and consistent catalog data.
• Analyze pricing data to identify trends, anomalies, and recurring supplier issues, sharing insights with the Supplier Relations Manager.
• Respond to inquiries from Sales and Procurement regarding pricing and part availability.

Qualifications and Experience

• Diploma or Bachelor's degree in Data Analytics, Information Systems, Business Administration, or a related field.
• 2-5 years of experience in data analysis, master data management, or pricing operations.
• Advanced Excel proficiency, including formulas, VLOOKUP/XLOOKUP, pivot tables, and data cleansing techniques.
• Experience with ERP systems and master data/catalog management.

Required Skills

• Strong analytical skills for detecting price discrepancies and identifying data patterns.
• High attention to detail and numerical accuracy.
• Strong organizational and time-management skills, with the ability to work under pressure.

Preferred Qualifications

• Knowledge of auto parts or the automotive trade.