Data Specialist

Are you passionate about automotive data research and have a keen eye for detail? Do you thrive in working with large volumes of data and enjoy analyzing complex information? If so, this role is perfect for you!

Job Definition

As a Data Specialist (PADS), you will have the opportunity to explore and research automotive OES parts data for the EU region. If you are detail-oriented, independent, and enjoy working with large datasets, this role is the right fit for you. Our company is expanding in the EU region, and we are looking for dedicated individuals to grow with us!

Job Responsibilities

• Gather domestic and international automotive OES parts data from reliable sources across the EU region.
• Extract, analyze, and input OES parts data from electronic parts catalogs into our systems.
• Identify and correct data inconsistencies while following established workflows and proposing improvements.
• Identify and correct data errors, following established workflows and introducing improvements where applicable.
• Generate detailed reports by analyzing collected data to ensure accuracy and relevance.
• Work with cross-functional teams to enhance and maintain data quality standards.
• Assist team leaders in ensuring projects are delivered on time with a high standard of technical expertise.
• Identify and implement improvements to enhance data management efficiency.

Job Qualification

• Bachelor’s degree or diploma, preferably in Automotive Engineering, Computer Science, or related fields.
• 2-3 years of relevant working experience, ideally in data research, analysis, or the automotive industry.
• Proficiency in MS Excel and data management tools, with experience handling large datasets.
• Strong English communication skills (written & verbal).
• A proactive, detail-oriented, and independent mindset with the ability to work well under pressure.
• Proven ability to work under tight deadlines while maintaining high precision in data management.
• Strong problem-solving skills with the ability to adapt to new challenges.
• Experience or familiarity with automotive data is highly advantageous.