
Real job — pulled straight from Prudential Financial’s careers page · Verified August 20, 2026 · No reposts.
Job description
Prudential Financial is hiring a Senior Data Analytics Officer — a full-time, based in Kuala Lumpur role. Apply directly on Prudential Financial's careers page below.
Senior Officer, Data Analytics
Location: Kuala Lumpur (Group Head Office)
Time Type: Full time
Job Description
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.
Drive advanced analytics initiatives across customer servicing (contact centre, physical centre, app data) and policy administration to optimise operational efficiency, enhance customer experience, and enable data-driven decision-making.Data Strategy & Governance
Develop and enforce robust data governance frameworks ensuring accuracy, compliance, and integrity across servicing and policy administration datasets.
Customer Interaction Analytics
Analyse multi-channel customer interaction data (voice, chat, app) to identify behavioural patterns, service bottlenecks, and opportunities for personalised engagement.
Policy Servicing Insights
Leverage policy administration data to optimise workflows, reduce turnaround times, and improve operational resilience through predictive modelling.
Advanced Modelling & Forecasting
Design and implement machine learning models for churn prediction, service demand forecasting, and operational risk mitigation.
Performance Dashboards
Build dynamic dashboards and KPI scorecards for real-time monitoring of service quality, policy processing efficiency, and customer satisfaction metrics.
Cross-Functional Collaboration
Partner with operations, IT, and customer experience teams to translate analytics into actionable strategies and measurable business outcomes.
Data Quality Assurance
Implement rigorous data validation protocols to maintain high standards of completeness, consistency, and reliability across all sources.
Regulatory Compliance
Ensure analytics processes adhere to data privacy regulations and industry standards, mitigating compliance risks.
Innovation & Automation
Champion automation of reporting and analytics workflows using advanced BI tools and scripting for scalability and speed.
Stakeholder Communication
Present insights and recommendations to senior leadership with clarity, precision, and strategic alignment to organisational objectives.
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.
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Frequently asked questions
What skills are required for Senior Data Analytics Officer at Prudential Financial?
The required skills for Senior Data Analytics Officer at Prudential Financial include: Machine Learning, Python.
What is the seniority level for Senior Data Analytics Officer at Prudential Financial?
Senior Data Analytics Officer at Prudential Financial is a Senior level position.
How do I apply for Senior Data Analytics Officer at Prudential Financial?
You can view the full description and apply for Senior Data Analytics Officer at Prudential Financial on EchoJobs: https://echojobs.io/job/prudential-financial-senior-officer-data-analytics-4xksf.


