Data Analytics & AI Solutions Developer

PT Indolampung Perkasa; Jakarta Selatan; On-site; IDR 180,000,000 - 300,000,000; Full time

Benefits offered by this job

Competitive salary

Upward mobility

Young team

Job summary

Sugar Group is Indonesia’s leading sugar producer with integrated plantations and factories. We seek a proactive Business Analyst to transform raw data into insights that steer strategic decisions. You will design dashboards, build reports, and create lightweight apps and automations to unlock efficiency across operations.

The role values curiosity, rapid learning, and collaboration, with a focus on data-driven process optimization and AI-enabled solutions across the business.

Qualifications

• Bachelor's degree with GPA 3.2 or higher.
• Fresh graduates welcome.
• Experience with Excel and data visualization tools.
• Experience in designing, developing, and maintaining n8n workflows.
• Knowledge of SQL databases.
• Proactive, self-driven, team player.
• Experience in app development is a plus.
• AI-related certifications are a plus.

Responsibilities

• Collect, organize, and analyze internal business data.
• Design and maintain data visualization and reports for management.
• Develop, implement, and maintain web dashboards, simple android apps, and n8n workflows.
• Integrate LLMs, workflow automation platforms, and enterprise apps to deliver AI-driven solutions.
• Identify data trends to improve operational efficiency.

Skills

Data analysis

Data visualization

AI/LLMs integration

Self-motivation

Teamwork

Education

Bachelor's degree in CS/Engineering/Mathematics

Tools

n8n

Excel

SQL

Data visualization tools

Job description

Sugar Group is Indonesia’s leading sugar producer with integrated plantations and factories. We seek a proactive Business Analyst to transform raw data into insights that steer strategic decisions. You will design dashboards, build reports, and create lightweight apps and automations to unlock efficiency across operations.

The role values curiosity, rapid learning, and collaboration, with a focus on data-driven process optimization and AI-enabled solutions across the business.