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.
