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Manager / Senior Manager, Data Analytics

Manager / Senior Manager, Data Analytics

Prudential plcHong Kong
17 days ago
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.

The role will manage the delivery of analytics on campaigns, customer behavior and channel distribution performance, provide high quality insights and recommendations to internal stakeholders across different business units to optimize business growth and identify opportunities for improvement. Explore and deploy new techniques for MI and data visualization to enhance existing campaign management, execution and automation processes.

Job responsibilities :

Perform thorough analysis of customer and distribution channel data to uncover opportunities for business growth, customer acquisition, cross-selling, upselling, retention, and maximizing customer value.

Collaborate with internal stakeholders to gather business requirements and ensure the seamless integration of analytics for timely, insight-driven decision-making in business projects. Transform business questions into actionable analysis and provide data-driven recommendations to drive decision-making

Deliver data-driven insights to evaluate campaign effectiveness and make recommendations for future initiatives. Monitor marketing campaign performance across various channels to identify trends and areas for improvement. Take the lead to explore new techniques to improve existing campaign management, execution and automation.

Lead the development of campaign-related dashboards to provide post campaign insight and customer and agent behavioral analysis for future planning. Develop a comprehensive and efficient framework for end-to-end business analytics and data visualization.

Work closely with the IT department to ensure the security, scalability, and integration of data solutions with existing systems and infrastructure. Collaborate with external partners, vendors, and IT to ensure the successful application and continuous improvement of data models and analytics tools.

Explore the availability, access, transform, and use of structured and unstructured data for channel analytics purposes. Develop channel analytics data foundation and enable behavioral analytics deliverables to business units.

Develop advanced analytics / Machine Learning-based solutions to uplift the effectiveness of analytics and modelling riding on (i) supervised / unsupervised Machine Learning techniques and (ii) unstructured data e.g. digital footprint.

Job requirements :

Degree holder in Computer Science, Decision Science, Mathematics, Econometrics, Actuarial Science, Marketing Analytics or Statistics

Minimum 10 years of working experience in data analytics, with a minimum 8 years of experience in insurance industry

Hands-on experience in developing and executing large scale analytics deliverables / projects in Financial Services Industry

Knowledge in data infrastructure and experience in project / vendor management

Solid experience in Python & SQL is a must

Hands-on experience in segmentation / advanced analytics

Experience in machine learning and predictive modelling would be a plus

Proven experience in driving analytics strategy and business results

Ability to build strong stakeholders' relationships through thorough understanding of business requirements and the ability to analyze issues to find effective solutions

Ability to lead and drive the assigned tasks from end to end from initial discussion to delivery

Strategic thinking, able to work independently and paired with strong focus on execution

Proficiency in preparing presentations and effectively articulating information to senior management

Strong presentation, communication, interpersonal skills and a good team player

Excellent command of English and Chinese (written and spoken)

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Senior Manager Manager • Hong Kong

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