Data Analyst

Smoore Technology Indonesia; Kota Malang ꦠꦸꦛꦩꦭꦁ; On-site; IDR 180,000,000 - 300,000,000; Full time

Job summary

SMOORE Indonesia is seeking a data analyst to extract and integrate production, inventory, and quality data from SAP and MES, and to design dashboards for OEE and yield reporting. You will ensure data accuracy and provide actionable insights to manufacturing teams.

The role requires strong SQL skills, SAP PP/MM knowledge, advanced Excel, and experience with BI tools, with English as the working language for cross-team collaboration and documentation.

Qualifications

• Bachelors degree or above in a relevant field and manufacturing insight.
• Minimum 2 years of data analysis experience in manufacturing.
• Proficient in SQL for complex data extraction.
• Familiarity with SAP modules (PP/MM) and common table structures.
• Strong Excel skills and data visualization tool experience.
• Proficient English for documentation and cross-team communication.

Responsibilities

• Extract and integrate production, inventory, and quality data from SAP and MES.
• Design, develop, and automate KPI dashboards and reports (OEE, yield).
• Monitor data consistency between MES and SAP and coordinate issue resolution.
• Perform routine maintenance for SAP and MES, including user management and basic troubleshooting.
• Analyze production data to identify bottlenecks and provide insights for improvements.
• Assist in UAT for MES/SAP features and validate data accuracy during updates.
• Respond to ad-hoc data requests from management and other departments.

Skills

SQL

English proficiency

SAP familiarity

Analytical thinking

Data interpretation

Education

Bachelor’s degree in Computer Science, Information Management, Industrial Engineering, or related fields

Tools

SAP PP/MM

MARD

AFKO

Excel Pivot Tables

VLOOKUP

Power BI

Tableau

FineReport

Job description

SMOORE Indonesia is part of SMOORE Holding International, a global leader in offering vaping technology solutions, including manufacturing vaping devices and vaping components for HNB products on an ODM basis, with advanced R&D technology, strong manufacturing capacity, wide-spectrum product portfolio and diverse customer base. Headquartered in China and as part of our business growth in Indonesia currently we have 4 plants in Indonesia :

• PT. Smoore Technology Indonesia in Malang
• PT. Atomization Technology Indonesia in Pasuruan
• PT. Merit Technology and Innovation Indonesia in Sidoarjo
• PT. Genesis Technology Indonesia in Malang
• PT. Keystone Technology Indonesia in Pasuruan

Job Description :

• Extract and integrate production, inventory, and quality data from SAP and MES systems.
• Design, develop, and automate daily/weekly/monthly KPI dashboards and reports (e.g., OEE, yield rate).
• Monitor data consistency between MES and SAP, identify discrepancies, and coordinate with IT/business teams to resolve issues.
• Perform routine maintenance and support for SAP and MES systems, including user account management, permission configuration, and basic troubleshooting.
• Analyze production data to identify bottlenecks and provide data-driven insights for process improvement.
• Assist in user acceptance testing (UAT) for new MES/SAP features and validate data accuracy during system updates.
• Respond to ad-hoc data requests from management and other departments in a timely manner.

Qualification:

• Bachelor’s degree or above in Computer Science, Information Management, Industrial Engineering, or related fields.
• At least 2 years of experience in data analysis within the manufacturing industry.
• Proficient in SQL for complex data extraction and processing.
• Familiar with SAP modules (especially PP/MM) and common table structures (e.g., MARD, AFKO).
• Have good understanding for MES core concepts such as work orders, operations, and production reporting.
• Advanced skills in Excel (Pivot Tables, VLOOKUP) and visualization tools (Power BI, Tableau, or FineReport).
• English must be proficient enough to serve as a working language for reading documentation and cross-team communication.
• Strong logical thinking, attention to detail, and good communication skills.