Data Platform & Analytics Leader

QL resources berhad; Shah Alam; On-site; MYR 180,000 - 240,000; Full time

Job summary

QL Resources Berhad in Shah Alam is seeking a Data Platform & Analytics Manager to lead the Group’s data and BI functions, driving trusted reporting, scalable data platforms, automation and AI-enabled analytics across the organisation.

You will design and deliver enterprise data platforms, data warehouses, lakehouse architectures, pipelines and dashboards, partnering with IT and business users to ensure secure, governed data for data-driven decision-making.

Qualifications

• Bachelor’s degree or higher in a relevant field.
• Minimum 8–10 years in data engineering/BI/warehousing with leadership experience.
• Hands-on with modern data platforms and cloud services.

Responsibilities

• Build and improve modern data platforms, BI dashboards, data pipelines, and analytics services.
• Establish and drive data governance, data quality, security, and reporting standards.
• Partner with business and IT stakeholders to translate requirements into analytics solutions.
• Drive adoption of cloud data platforms, self-service BI, automation, and AI-enabled analytics.
• Establish standards for data modelling, ETL/ELT, governance, access control, and data quality.
• Oversee day-to-day analytics operations, including pipeline management and issue resolution.
• Lead and coach the Data & BI team to deliver timely, reliable insights.

Skills

Leadership

Data governance

Stakeholder management

Team development

Communication

Data modelling

SQL

Power BI

Education

Bachelor’s Degree in Computer Science/IT/Data Science

Master’s degree or relevant certification

Tools

Microsoft Fabric

Azure Synapse

Databricks

Snowflake

AWS

GCP

Job description

QL Resources Berhad in Shah Alam is seeking a Data Platform & Analytics Manager to lead the Group’s data and BI functions, driving trusted reporting, scalable data platforms, automation and AI-enabled analytics across the organisation.

You will design and deliver enterprise data platforms, data warehouses, lakehouse architectures, pipelines and dashboards, partnering with IT and business users to ensure secure, governed data for data-driven decision-making.