Manager / Senior Manager, Data Analytics

Posted 24 Days Ago
Be an Early Applicant
Hong Kong
Expert/Leader
Financial Services
The Role
Manage delivery of analytics to enhance business growth through campaign performance analysis, customer behavior insight, and data visualization. Engage with stakeholders for data-driven decision making and improve data models using ML techniques.
Summary Generated by Built In

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)

 

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.

Top Skills

Machine Learning
Python
SQL
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The Company
HQ: Central, Hong Kong
52,292 Employees

What We Do

In Asia and Africa, Prudential has been providing familiar, trusted financial security to people for 100 years. Today, headquartered in Hong Kong and London, we are ranked top three in 12 Asian markets with 18 million customers, around 68,000 average monthly active agents and access to over 27,000 bank branches in the region.

Prudential is focused on opportunities in the most exciting growth markets in Asia and Africa. With access to over 4 billion people in both these regions, we are investing in broadening our presence and building our leadership in the life and asset management markets.

We are committed to making a positive impact on our customers, our employees and our communities by delivering the best savings, health and protection solutions to people so they can get the most out of life. Visit our websites for more information

Prudential plc: https://www.prudentialplc.com/
Prudence Foundation: https://www.prudentialplc.com/en/prudence-foundation

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