Purpose:    

To organize data related to SPCI’s key performance indicators from global supply partners and SPCI teams. Ensure data is accurate and high-quality. Design data models and develop fully connected databases. Create data analysis and reporting capabilities to assist teams with insights from different levels and different perspectives to make better decisions. Identify opportunities to automate the processes of collecting, compiling, validating, analyzing, and working dashboards to improve data quality and productivity in the SPCI team. 

Key Responsibilities: 

• Study SPCI’s key performance indicators, reports, and presentations to understand the data. 

• Perform data cleaning by reviewing all databases, and reports to locate potential data problems and correct them. Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis. 

• Improve data collection method from supply partners. Using available tools (power automate) to automate data collection. Reorganize data in a standard format to enable the connection between databases. Develop the right data structure and maintain databases/data systems. 

• Work with the SPCI team to perform data analysis for key performance indicators. Develop auto-data analytics capabilities for the country, region, and global level. 

• Prepare reports for management review. Using available tools (power BI) to create meaningful reports and dashboards to visualize data and insights/findings. Develop auto-reporting capabilities for different reports. 

• Work with the global SPCI team and IT team to identify process improvement opportunities, propose system modifications, and devise data governance strategies. 

• Preparing, reviewing the SOPs to document all the setups, and instructions to run data analysis and reports. Create and provide training to respective stakeholders. 

Key Relationships: 

• Director of Manufacturing Excellence 

• LO: Operation management, Production, functional teams (Costing, Planning, etc.), global SPCI, IT teams 

• Factory: ME, Advanced Chemicals, IT/Digital, production teams. 

Knowledge Skills and Abilities: 

• Strong knowledge of and experience with database design development, data models (ETL frameworks), data segmentation, etc. 

• Knowledge of polymer materials, statistics and using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.) is a plus. 

• Knowledge of and experience with data visualization software like Power BI and programming languages like SQL, R, and Python 

• Strong analytical skills with the ability to collect, organize, and analyze significant amounts of information with attention to detail and accuracy. 

• Proficiency in Smartsheet, MS Office, Power automates. 

• Effective communication, problem-solving, and team-working skills. 

• Good English (written and verbal), 

Requisite Education and Experience / Minimum Qualifications: 

• Last year students or fresh graduates in Data Analyst or Business Data Analyst fields 

• Knowledge and experience in industrial engineering and/or manufacturing is a plus. 

• Past internship experience or working experience in short-term projects. 

• Willing to learn, open to new ideas & explore different options at work. 

• At least 6 months of availability 

Working Location: Vietnam office + Factories (very occasionally - transport via company shuttle bus if needed)