Senior Data Analyst

About the Role
PT Polychemie Asia Pacific Permai (PAPP) is seeking a Senior Data Analyst to join our dynamic and innovative work environment. In this role, you will contribute to developing better solutions for our customers by collecting, analyzing, and interpreting production data to improve the efficiency, cost-effectiveness, and quality of our chemical & adhesive manufacturing processes.

Key Responsibilities

• Collect, analyze, and interpret production data to improve the efficiency, quality, and formula consistency of manufacturing processes.

• Work closely with operational, technical, and plant teams to identify bottlenecks, offer data-driven solutions, and visually present analysis results to management.

• Design analytical models and develop automated 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, batch yield, waste), Procurement (vendor performance, chemical raw material trends), and Costing (cost variance, material variance, efficiency strategies).

• Ensure the validity, cleanliness, and accuracy of data extracted from ERP systems before presentation.

About You

• Minimum of a Bachelor's Degree (S1) in Management Information Systems (MIS), Information Systems, Mathematics, Statistics, Computer Science, Industrial Engineering, or Business Management.

• Minimum of 3 to 5 years of experience as a Data Analyst, specifically within the manufacturing industry (experience in chemical, adhesive, or FMCG sectors is a huge advantage).

• Highly proficient in Advanced Microsoft Excel (VBA, Power Query, complex formulas) to handle dense and complex data sheets.

• Mandatory familiarity and mastery of SAP Business One (SAP B1) for corporate data management.

• Strong technical expertise in:

  • Data Visualization & BI: Power BI, Tableau, or similar.

  • Database & Querying: SQL (Structured Query Language).

  • Programming: Python or R for statistical analysis.

• Possess strong analytical and statistical skills, the ability to bridge communication between technical teams and management, and a strong drive to continuously grow with the company.