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SARAWAK OIL PALMS BERHAD in Malaysia is seeking a motivated IT Data Analyst to support digital transformation and data-driven initiatives. You will collaborate with cross-functional teams to develop data solutions, build dashboards, maintain data pipelines, and transform complex data into meaningful business insights.
Requirements include a degree in Computer Science/Data Science/Software Engineering, 2–3 years in analytics, proficiency in Python/SQL/R, and Power BI.
We are looking for a motivated and analytical IT Data Analyst to support the Company's digital transformation and data-driven initiatives. In this role, you will collaborate with cross-functional teams to develop data solutions, build dashboards, maintain data pipelines, and transform complex data into meaningful business insights that drive strategic decision-making. This is an excellent opportunity for individuals who are passionate about data analytics, business intelligence, and continuous improvement.
Collaborate in the Company's Data Transformation initiatives, including new data-driven projects and system improvement initiatives across various business sectors.
Participate in the full lifecycle of data-related implementations, including user engagement, requirements gathering, data analysis, solution design, collaboration with IT teams, testing, and development of data connections for loading data into the data warehouse.
Support post-implementation activities, including maintaining and enhancing ETL processes, data pipelines, and data visualization dashboards.
Develop and maintain data reports and dashboards to support business decision-making.
Stay updated on emerging data technologies, tools, and industry best practices, and recommend suitable solutions where applicable.
Possess a Degree/ Master’s in Computer Science/ Data Science/ Software Engineering, or a related field.
Minimum 2-3 years of working experience in Data Analytics/Data Engineering/ Data Science, or a similar role.
Hands-on experience with ETL processes and proficiency in programming languages for data analysis such as Python, SQL, or R.
Knowledge and experience in Power BI or other data visualization tools would be an added advantage.
Certification in Python/R programming or Data Science-related certification would be an added advantage.
Strong analytical and problem-solving skills with the ability to generate meaningful business insights.
Ability to work effectively in a team, with minimal supervision and demonstrate a structured approach to work.
Strong communication skills with the ability to liaise with Heads of Departments and stakeholders to present analysis results and business insights.
Be part of the Company's digital transformation journey and contribute to impactful, data-driven initiatives.
Gain exposure to enterprise-level analytics, business intelligence, and modern data technologies.
Work on challenging and meaningful projects across diverse business operations.
Enjoy opportunities for continuous learning, professional development, and career advancement.
Collaborate with experienced professionals in a supportive and innovative working environment.
Competitive remuneration package with comprehensive employee benefits.