全职 Data Analytics - Platform Manager 工作, 薪水, Randstad Malaysia Federal Territory 公司招聘中 - Ricebowl

About The Client

Our client is a large, highly established Malaysian conglomerate with a diversified business portfolio and a long-standing history of steady market expansion. Known for a stable work culture and strong employee retention, the organization’s enterprise IT division is currently modernizing its data capability to support long-term growth across all operating companies.

Position Overview

• Role: Data Analytics & Platform Manager
• Location: KL, Malaysia
• Work Arrangement: 100% Onsite (Monday – Friday, Standard Business Hours)
• Employment Type: Permanent
• Remuneration: Open to discussion based on experience (Up to RM 15,000 – RM 17,000/month) + Competitive Bonus & Benefits
  
  

Role Summary

We are seeking an experienced Data Analytics & Platform Manager to take ownership of the Group’s data ecosystem. This is a newly created leadership role within the Group HQ IT division.

You will lead, mentor, and build a growing data team (encompassing BI Developers, Data Engineers, and Data Analysts). You will serve as both a technical authority and strategic advisor—shaping how the group structures, governs, and utilizes data to drive enterprise value.

Key Responsibilities

• Strategy & Architecture: Define and execute the roadmap to transform unstructured data practices into a modernized, scalable enterprise data platform.
• Team Leadership & Hiring: Manage the existing data professionals and actively lead the headcount expansion for incoming technical hires.
• Platform Management: Oversee and optimize cloud data platforms (leveraging tools like Microsoft Fabric, Snowflake, or Azure Synapse).
• Data Governance & Engineering: Establish best practices for data modeling, ETL/ELT pipelines, data quality, and architecture across multiple business entities.
• Stakeholder Management: Articulate complex data strategies, roadmaps, and project execution plans clearly to senior IT leadership and executive management.
  
  

Requirements & Qualifications

• Experience: Strong background in Data Analytics, Data Engineering, or BI, with demonstrated experience leading or managing technical teams.
• Technical Proficiency:
• Hands-on familiarity with modern cloud data tools (e.g., Microsoft Fabric, Snowflake, Azure Synapse, or Databricks).
• Strong fundamentals in SQL, data architecture, data warehousing, and pipeline management.
• Soft Skills: Outstanding communication and presentation skills—must be able to articulate plans, methodologies, and business impacts clearly.
• Availability: Candidates with 1 to 2 months' notice period are strongly preferred.