Data Transformation & Insights Analyst

Sarawak Oil Palms; Miri; On-site; MYR 60,000 - 100,000; Full time

Job summary

Sarawak Oil Palms is seeking an IT Data Analyst to unlock business value from data. You will build and maintain ETL pipelines, develop dashboards, and produce actionable insights for operations and strategy.

The role requires collaboration with heads of departments, strong programming skills (Python/SQL/R), experience with Power BI, and a structured, detail‑oriented approach to data projects.

Qualifications

• Degree/Master in Computer Science/Data Science/Software Engineering or related field
• 2-3 years in Data Analytics/Data Engineering/Data Science or similar
• Hands-on ETL experience and proficiency in Python/SQL/R for data analysis
• Knowledge of Power BI or other data visualization tools is a plus
• Certification in Python/R or Data Science-related areas is a plus
• Strong analytical and problem-solving skills with ability to generate business insights
• Ability to work in a team with minimal supervision and a structured work approach
• Strong communication skills to liaise with department heads and stakeholders

Responsibilities

• Collaborate in Data Transformation initiatives and data-driven projects across business sectors
• Participate in full lifecycle of data-related implementations: engagement, requirements, data analysis, design, IT collaboration, testing, and data loading into the warehouse
• Support post-implementation activities: maintaining ETL processes, data pipelines, and dashboards
• Develop and maintain data reports and dashboards to support business decisions
• Stay updated on emerging data technologies and recommend suitable solutions

Skills

Analytical thinking

Communication

Teamwork

Problem-solving

Education

Bachelor's or Master's in CS/DS/SE

Tools

Python

SQL

R

Power BI

Job description

Sarawak Oil Palms is seeking an IT Data Analyst to unlock business value from data. You will build and maintain ETL pipelines, develop dashboards, and produce actionable insights for operations and strategy.

The role requires collaboration with heads of departments, strong programming skills (Python/SQL/R), experience with Power BI, and a structured, detail‑oriented approach to data projects.