Manager, Data Analyst

Manager, Data Analyst page is loaded## Manager, Data Analystlocations : Kuala Lumpur (Group Head Office)time type : Full timeposted on : Posted Todayjob requisition id : Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.The role is within the Risk Compliance Security Unit, reporting to the Group Director – Head of Group Risk Assurance & Data Analytics COE As a Data Analyst at Prudential, you will be responsible for managing, analysing, and reporting data to help in decision-making processes. You will play a pivotal role in interpreting data, analysing results, and providing ongoing reports. Your insights will directly support business strategies and initiatives.

• 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 tools such as 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.
• Requirements :
• Strong problem-solving skills with an emphasis on product development.
• Experience using statistical computer languages (Python, SQL, etc.) to draw insights from large data sets.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages / drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for working with teams
• Experience with distributed data / computing environments
• Prudential is an equal opportunity employer.
• We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.Prudential plc provides life and health insurance and asset management to 18 million customers across 24 markets in Asia and Africa.We are headquartered in London and Hong Kong and are focused on four strategic regions : Greater China, ASEAN, India and Africa. We are served by around 68,000 average monthly active agents and more than 200 bank partners.Prudential plc is not affiliated in any manner with Prudential Financial, Inc., a company whose principal place of business is in the United States of America or with the Prudential Assurance Company, a subsidiary of M&G plc, a company incorporated in the United Kingdom.Find out more atFollow us on LinkedIn

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