Deskripsi pekerjaan SENIOR DATA ANALYST (MANUFACTURING SPECIALIST) POLYCHEMIE
About Us:
PT Polychemie Asia Pacific Permai (PAPP) is an Indonesia-based family business with over 40 years of experience in manufacturing adhesives, polymer-based products, and specialty chemical solutions. Polychemie’s products can be found in various everyday objects, such as books and magazines, computers, automotive parts, electronics, furniture, textiles, packaging, and much more.
Polychemie believes that reliability and a deep understanding of customer needs are the keys to success. We are looking for an individual with a passion to contribute to a dynamic and innovative work environment, who is ready to help us develop better solutions for our customers.
Key Responsibilities:
- Production Data Analysis: Collect, analyze, and interpret production data to improve the efficiency and quality of manufacturing processes.
- Team Collaboration: Work closely with operational and technical teams to identify issues, offer data-driven solutions, and visually present analysis results to management.
- System & Model Development: Design analytical models and develop monitoring systems and reports (daily, weekly, monthly) to support strategic decision-making.
- Cross-Departmental Analysis: Process large-scale datasets (big data) to provide sharp analysis and statistical-based recommendations across Production (output, downtime, yield), Procurement (vendor performance, raw material trends), and Costing (cost variance, efficiency strategies).
- Data Accuracy: Ensure the validity, cleanliness, and accuracy of data extracted from systems before presentation.
Job Requirements:
- Minimum of a Bachelor's Degree (S1) in a related field such as Management Information Systems (MIS) / Information Systems, Mathematics, Statistics, Computer Science, Industrial Engineering, or Business Management.
- Minimum of 3 to 5 years of experience in data analysis, specifically within the manufacturing industry or similar sectors.
- Willing to work under a Full WFO (Work from Office) arrangement.
- Highly proficient in Advanced Microsoft Excel (Minimum scale of 8/10) to handle dense and complex data sheets.
- Mandatory familiarity/mastery of SAP Bio One / SAP Business One systems for corporate data management.
- Strong technical expertise in app Data Visualization & Business Intelligence; Database & Querying; and Programming & Caching: Python and Redis.
- Possess strong analytical and statistical skills, the ability to work independently or in a team, and a strong drive to continuously learn and grow with the company.
