Data Analytics Engineer Executive

Snapshot of the role:

Join QL's Group IT team and be at the forefront of digital transformation, driving new technology and application solutions to facilitate process transformation across the entire group.

As a Data Analytics Engineer Executive, you will be a key player in our organization, driving transformative initiatives in data analysis, data engineering, and/or machine learning. Your primary responsibility will be to gather business intelligence from diverse sources, analyze complex datasets, and formulate strategic recommendations to drive business growth and enhance operational efficiency.

You are driven to:

• 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.

What you’ll need to succeed:

• Bachelor's Degree in Science, Technology, Engineering, or Mathematics (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.
• Proficiency in one or more analytics tools (e.g. Power BI, Python)
• Technical skillsets in data engineering (e.g., ETL optimization) and machine learning/data science.
• Sound understanding of data warehousing principles, ETL concepts, and data modeling.
• Proficiency in advanced analytics, business modeling, optimization, simulation modeling, and statistical techniques.
• Experience with role-based access control (RBAC), secure views, and data segregation techniques
• Candidate must be willing to be based at HQ, Shah Alam.