About This Opportunity

Tune Protect Group Berhad is looking for a Data & Analytics Lead to lead its data transformation journey.

In this role, you will design and build a central data platform that supports reporting, analytics, and future AI use cases. Working across business and technology teams, you will play a key role in establishing a scalable data ecosystem while embedding best practices in data engineering, governance, and architecture.

This is a high-impact role that offers the opportunity to shape data strategy, drive platform development, and build capabilities that support long-term business growth.

What You'll Do

Design and implement a scalable enterprise data platform (e.g. Snowflake, Azure, Databricks)
Build unified data models across key domains such as Customer, Sales, and Claims
Develop and manage data pipelines (ETL/ELT) from multiple internal and external systems
Ensure data quality, consistency, governance, and security across the platform
Enable and support Power BI datasets and self-service reporting capabilities
Structure and prepare data for AI and advanced analytics use cases (e.g. fraud detection, customer insights)
Collaborate with business stakeholders to understand data needs and deliver effective solutions
Guide and mentor the BI team in building reusable, scalable data products
Drive best practices in data architecture, engineering, and governance

What We're Looking For

Essential Requirements

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field
8+ years of experience in data engineering, BI, or data platform development
Strong experience with cloud data platforms (e.g. Snowflake, Azure, Databricks)
Advanced SQL and strong data modelling expertise (dimensional, star schema, etc.)
Proven experience building and managing data pipelines and integrations
Familiarity with BI tools such as Power BI or similar platforms
Solid understanding of data governance, data quality, and architecture principles
Strong communication and stakeholder management skills

Nice to Have

Experience in the insurance or financial services industry
Familiarity with AI/ML data preparation or supporting data science workflows
Hands-on experience with modern data tools (e.g. dbt, Airflow, Kafka)
Knowledge of data governance frameworks and regulatory requirements
Experience designing data lakes or lakehouse architectures
Exposure to API integrations and real-time/streaming data pipelines