About Spare Parts 3D
Spare Parts 3D, headquartered in France with offices in Singapore, leverages 3D printing to simplify and decarbonize supply chains. Using our proprietary DigiPART™ software, we digitize spare parts inventories for industry leaders in sectors like O&G, petrochemical, transportation, and semiconductor, enabling parts production anywhere with minimal lead times. Our technology reduces costs associated with technology transfer and warehousing, creating a shorter, more efficient supply chain.
If you’re ready for a challenge in a high-tech, fast-evolving sector, apply now!
Responsibilities
As part of a customer-focused project structure under the leadership of our Head of Engineering, you will support DIGIPART development across all data-related aspects, from preparing large data sets to integrating and analyzing data in DIGIPART. Your key responsibilities will include:
- Prepare and enhance large data sets by collating information from ERP, PLM, and various sources.
- Conduct data labeling, cleaning, and validation to ensure quality.
- Structure and integrate both structured and unstructured data into DigiPART databases.
- Perform data audits, identify errors, and produce diagnostic reports.
- Meet project deadlines by completing tasks on time.
- Identify and resolve root causes of data quality issues, providing feedback for product improvement.
- Develop new processes to identify and leverage data improvement opportunities.
- Collaborate with cross-functional teams to support DIGIPART enhancements.
Education and Experience
- Bachelor's degree in Accounting, Business Administration, Engineering, or a related field.
- At least 2 years of experience in data science, analytics, or a similar role (preferred).
- Willingness to undergo training in 3D printing applications and DigiPART software.
Knowledge and Skills
- Experience with data analysis tools like Python, or Power BI is required.
- Professional fluency in English; proficiency in French is a plus.
- Strong ethical standards, integrity, and adherence to compliance.
- Skilled in handling large amounts of data and identifying actionable insights.
- Adaptable and resilient, capable of navigating a dynamic, fast-paced environment.
Application Note
Only shortlisted candidates will be notified.
