System Engineer (Data Science)

Perodua; Kampung Tanjung; On-site; MYR 67,000 - 100,000; Full time

Job summary

Perodua is seeking a data analytics professional to develop and support enterprise Data Analytics, Data MArt and Data Warehouse solutions in a growth-focused environment.

You will create meaningful dashboards and reports, optimize data processes, and participate in end-to-end project deployments including testing and release activities. Strong analytical skills and a passion for data-driven decision-making are essential.

Qualifications

• Bachelor's Degree in Computer Science, IT, IS, Data Analytics, CS or related field.
• 1 year of experience in Data Analytics, BI, Data Warehousing, or systems development is a plus.
• Familiarity with BI tools such as Power BI, Tableau or similar analytics platforms is an advantage.
• Knowledge of data analytics, database management, data warehousing, and performance monitoring concepts.
• Strong analytical and problem-solving skills with data-driven decision making.

Responsibilities

• Develop and support enterprise Data Analytics, Data Mart and Data Warehouse solutions.
• Create dashboards and reports providing actionable business insights.
• Optimize data processes and system performance for efficiency and reliability.
• Participate in end-to-end project implementation including development, testing and deployment.
• Prepare UAT and Production deployment documentation and support release activities.
• Troubleshoot and resolve technical issues to ensure smooth sales system operations.
• Collaborate with cross-functional stakeholders to translate business requirements into data solutions.
• Explore and adopt emerging technologies and BI tools to support digital transformation initiatives.

Skills

Analytical thinking

Problem solving

Communication

Team collaboration

Learning mindset

Education

Bachelor's degree in Computer Science / IT / Data Analytics

Tools

Power BI

Tableau

SQL

Job description

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• To develop and support enterprise Data Analytics, Data Mart and Data Warehouse solutions.
• To create meaningful dashboards and reports that provide actionable business insights.
• To optimize data processes and system performance to improve efficiency and reliability.
• To participate in end-to-end project implementation including development, testing and deployment activities.
• To prepare UAT and Production deployment documentation and support release activities.
• To troubleshoot and resolve technical issues to ensure smooth sales system operations.
• To work closely with cross-functional stakeholders to translate business requirements into data solutions.
• To explore and adopt emerging technologies and BI tools to support digital transformation initiatives.

Responsibilities

• To develop and support enterprise Data Analytics, Data Mart and Data Warehouse solutions.
• To create meaningful dashboards and reports that provide actionable business insights.
• To optimize data processes and system performance to improve efficiency and reliability.
• To participate in end-to-end project implementation including development, testing and deployment activities.
• To prepare UAT and Production deployment documentation and support release activities.
• To troubleshoot and resolve technical issues to ensure smooth sales system operations.
• To work closely with cross-functional stakeholders to translate business requirements into data solutions.
• To explore and adopt emerging technologies and BI tools to support digital transformation initiatives.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Information Systems, Data Analytics, Computer Engineering, or related disciplines.
• Minimum 1 year relevant experience in Data Analytics, Business Intelligence (BI), Data Warehousing, or System Development will be an added advantage.
• Familiarity with BI tools such as Microsoft Power BI, Tableau,or similar analytics platforms will be an added advantage..
• Possess knowledge of data analytics, database management, data warehousing, and performance monitoring concepts.
• Strong analytical, problem-solving, and critical-thinking skills with a passion for data-driven decision-making.
• Good communication and interpersonal skills, with the ability to collaborate effectively with stakeholders across all levels.
• Self-motivated, adaptable, and committed to continuous learning and innovation in a dynamic technology environment.