Manager, Data Analytics and Engineering

OSK Holdings Berhad; Kuala Lumpur; On-site; MYR 100,000 - 150,000; Full time

Job summary

A leading financial services company in Kuala Lumpur is seeking a Manager, Data Analytics and Engineering to lead the design and implementation of data analytics solutions. The ideal candidate will have a Bachelor's or Master's degree and at least 8 years of experience in data analytics and engineering, including 3 years in a managerial role. Responsibilities include overseeing data pipelines and ensuring data quality while driving innovation in analytics.

Qualifications

• Minimum 8 years of experience in data analytics and engineering.
• At least 3 years in a managerial role.
• Strong proficiency in SQL and Python.

Responsibilities

• Lead the design and development of data analytics solutions.
• Oversee the creation of dashboards and predictive models.
• Establish data governance frameworks and standards.

Skills

SQL

Python

Data visualization tools

Leadership

Communication

Stakeholder management

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field

Tools

Power BI

AWS

Azure

Snowflake

Hadoop

Job description

Add expected salary to your profile for insights

Job Description

The Manager, Data Analytics and Engineering is responsible for leading the design, development, and implementation of data analytics solutions and data engineering frameworks to support business decision‑making. This role ensures data integrity, scalability, and accessibility across the organization in a unified data platform while driving innovation in analytics and data management.

Leadership & Strategy

Develop and execute the data analytics and engineering strategy aligned with business objectives.

Lead and mentor a team of data engineers, analysts and AI engineers to deliver high‑quality solutions.

Collaborate with stakeholders to identify opportunities for data‑driven insights and automation.

Data Engineering & Architecture

Design and maintain robust data pipelines, ETL processes, and data warehouses.

Ensure data quality, security, and compliance with regulatory requirements.

Optimize data storage and retrieval for performance and scalability.

Analytics & Insights

Oversee the development of dashboards, reports, and predictive models to support business decisions.

Implement advanced analytics techniques, including machine learning and AI, where applicable.

Translate complex data into actionable insights for business units.

Governance & Standards

Establish data governance frameworks, policies, and best practices.

Monitor and enforce data standards across systems and processes.

Technology & Innovation

Evaluate and implement modern data tools, platforms, and technologies.

Stay updated on industry trends and emerging technologies in data analytics and engineering.

Qualifications & Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.

Minimum 8 years of experience in data analytics and engineering, with at least 3 years in a managerial role.

Strong proficiency in SQL, Python, and data visualization tools (i.e., Power BI).

Experience with cloud platforms (AWS, Azure) and big data technologies (Snowflake, Hadoop).

Excellent leadership, communication, and stakeholder management skills.