Median Rp6,2 jt/bulan · rentang umum Rp4,3 jt – Rp7,5 jt
Berdasarkan 145 lowongan Data Analysis se-Indonesia (semua level).
Gaji lowongan ini 5% di atas median pasar.
Lihat data gaji selengkapnya →Deskripsi pekerjaan SENIOR DATA ANALYST (MANUFACTURING SPECIALIST) POLYCHEMIE
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.
Collect, analyze, and interpret production data to improve the efficiency and quality of manufacturing processes.
Work closely with operational and technical teams to identify issues, offer data-driven solutions, and visually present analysis results to management.
Design analytical models and develop monitoring systems and reports (daily, weekly, monthly) to support strategic decision-making.
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).
Ensure the validity, cleanliness, and accuracy of data extracted from systems before presentation.
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.
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.
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