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
