Data Analytics Engineer — Transformative Data & ML (HQ Shah Alam)

QL Corporate Services Sdn Bhd; Selangor; On-site; MYR 60,000 - 90,000; Full time

Job summary

QL Corporate Services Sdn Bhd is seeking a Data Analytics Engineer Executive to join the Group IT team in Shah Alam. You will transform data into actionable analytics assets and drive data-driven decisions across the organization.

You'll gather requirements, build pipelines, and perform deep-dive analytics to support commercial objectives, with exposure to BI tools, data warehousing concepts, and ML initiatives. Open to fresh grads or those with up to 2 years' experience.

Qualifications

• Bachelor's Degree in STEM or equivalent.
• Open to fresh graduates and candidates with up to 2 years’ experience in BI, data analysis, or analytics, preferably from fast-paced industries (food, retail, manufacturing).
• Strong commercial awareness with expertise in data analysis, visualization, and stakeholder management.
• 0

Responsibilities

• Transform data into reusable analytics assets - datasets, reports, pipelines and notebooks in the curated layer of the Lakehouse and Data Warehouse in Microsoft Fabric.
• Conduct deep-dive analytics based on business priorities and identify improvement opportunities.
• Build data pipelines and manage data migration projects.
• Deliver both tactical and strategic solutions to support the organization's commercial objectives.
• Manage analytics and windowing functions, data modeling, performance tuning, and query optimization.
• Gather documents, analyze data requirements, and produce technical specifications.
• Stay abreast of industry trends, emerging technologies, and best practices in business intelligence and analytics.

Skills

Data analysis

Stakeholder management

Analytical thinking

Education

Bachelor's Degree in STEM

Tools

Power BI

Python

Job description

QL Corporate Services Sdn Bhd is seeking a Data Analytics Engineer Executive to join the Group IT team in Shah Alam. You will transform data into actionable analytics assets and drive data-driven decisions across the organization.

You'll gather requirements, build pipelines, and perform deep-dive analytics to support commercial objectives, with exposure to BI tools, data warehousing concepts, and ML initiatives. Open to fresh grads or those with up to 2 years' experience.