Automotive Data Specialist – SEA Parts & OES

TecAlliance; Kuala Lumpur; On-site; MYR 100,000 - 150,000; Full time

Job summary

A fast-growing automotive data firm in Kuala Lumpur, Malaysia, is seeking a detail-oriented analyst to manage and analyze automotive OES parts data for the Southeast Asia region. This role welcomes fresh graduates or those with up to 3 years’ experience. Candidates should have a background in relevant fields and a strong interest in automotive data. Joining will provide opportunities for professional growth in a collaborative and international environment, with a focus on data-driven decision-making.

Benefits

Collaborative work environment

Opportunities for learning and growth

Career development opportunities across departments

Qualifications

• Fresh graduates or candidates with up to 3 years of experience in data research or the automotive industry are welcome.
• Strong interest in data-related work and the automotive sector is essential.
• Good command of English, both spoken and written.

Responsibilities

• Research and gather domestic and foreign automotive OES parts data.
• Conduct in-depth analysis on various vehicle models for data accuracy.
• Extract and input automotive parts information from electronic catalogues.
• Identify and document data discrepancies.
• Generate reports to support decision-making.
• Collaborate to uphold and improve data quality standards.

Skills

Detail-oriented

Analytical skills

Proficient in Microsoft Excel

Problem-solving

Data-driven mindset

Education

Bachelor’s degree in Mechanical Engineering, Automotive Engineering, Computer Science, or related field

Job description

A fast-growing automotive data firm in Kuala Lumpur, Malaysia, is seeking a detail-oriented analyst to manage and analyze automotive OES parts data for the Southeast Asia region. This role welcomes fresh graduates or those with up to 3 years’ experience. Candidates should have a background in relevant fields and a strong interest in automotive data. Joining will provide opportunities for professional growth in a collaborative and international environment, with a focus on data-driven decision-making.