Risk & Compliance Data Insights Analyst

prudential; Kuala Lumpur; On-site; MYR 60,000 - 110,000; Full time

Job summary

Prudential Malaysia is seeking a Data Analyst to manage, analyse, and report data to support decision-making across Risk, Compliance, and IT. You will translate complex data into actionable insights and build dashboards that inform management.

The role emphasizes extracting trends, validating large datasets, and collaborating with cross-functional teams to strengthen risk assurance and data analytics capabilities.

Qualifications

• Experience with Python and SQL to derive insights from large data sets.
• Knowledge of ML techniques and their real-world pros/cons.
• Strong statistics knowledge and applied data analytics.
• Excellent written and verbal communication.
• Experience with distributed data/computing environments.

Responsibilities

• Collect, clean, and validate large datasets from various sources to ensure accuracy and consistency.
• Develop automated data cleaning scripts and workflows to streamline data preparation.
• Design and maintain interactive dashboards using Power BI and Tableau.
• Translate complex data into clear, actionable visualizations for stakeholders across the business.
• Perform exploratory data analysis to uncover risk trends and patterns.
• Support internal audits and assurance reviews with data-driven evidence and reporting.
• Work closely with Risk, Compliance, and IT teams to understand data requirements and deliver solutions.
• Present findings and recommendations to senior management in a clear and concise manner.

Skills

Python/SQL

ML techniques

Statistical analysis

Data visualization

Distributed computing

Communication

Tools

Power BI

Tableau

SQL

Job description

Prudential Malaysia is seeking a Data Analyst to manage, analyse, and report data to support decision-making across Risk, Compliance, and IT. You will translate complex data into actionable insights and build dashboards that inform management.

The role emphasizes extracting trends, validating large datasets, and collaborating with cross-functional teams to strengthen risk assurance and data analytics capabilities.