Data Specialist (PADS – Parts Automotive Data Specialist)

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

Kick-start or elevate your career in the automotive data field by joining a fast-growing team in the Southeast Asia (SEA) region. We are looking for a detail-oriented, data-driven individual — whether you're an experienced analyst or a fresh graduate passionate about cars and data.

Job Overview

This role provides the opportunity to explore and manage automotive OES (Original Equipment Supplier) car parts data for the SEA region. If you're detail-oriented, independent, and excited about working with large volumes of data in the automotive space, this is the right fit for you.

JobResponsibilities

• Research and gather domestic and foreign automotive OES parts data from reliable sources in the SEA region.
• Conduct in-depth analysis on various vehicle models to ensure data accuracy and relevance.
• Extract, interpret, and input automotive parts information from electronic catalogues into internal systems.
• Identify, correct, and document data discrepancies following standard workflows.
• Generate analytical reports to support decision-making and provide actionable insights.
• Collaborate with internal departments to uphold and improve data quality standards.
• Assist team leads in ensuring timely delivery of projects with technical accuracy.
• Proactively suggest improvements to enhance data processes and efficiency.

Qualifications & Requirements

• Bachelor’s degree or diploma in Mechanical Engineering, Automotive Engineering, Computer Science, or a related field.
• Knowledge of CV segment is highly preferred.
• Fresh graduates or candidates with up to 3 years of experience in data research, data entry, or the automotive industry.
  
• Background as a Service Advisor or experience in parts identification, repair processes, or vehicle models is an advantage.
  
• Strong interest in data-related work and the automotive sector.
  
• Proficient in Microsoft Excel and comfortable handling large data sets.
  
• Good command of English, both spoken and written.
  
• Analytical, detail-oriented, independent, and able to work under pressure.
  
• Proactive team player with strong problem-solving skills.

Why Join Us?

• Be part of a growing regional team shaping the future of automotive data.
• Collaborative, diverse work environment with opportunities to learn and grow.
• Exposure to international automotive data and systems.
• Career development opportunities across departments and regions.