Senior Manager, Data Analytics

6 months ago

Hong Kong, Hong Kong SAR China Prudential plc Full time

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 lead and manage the daily operations of data analytics team to perform complex and advanced business analytics, provide high quality strategic and tactical recommendations to internal stakeholders across different departments, e.g. Marketing, Finance, Agency & Partnership Distribution, in generating higher business volumes and profitability, and deploy leading edge data analytics infrastructure for MI and data visualization to promote the data-driven culture across departments within the company.

Job Responsibilities

Lead the development of data visualization with collaboration with internal stakeholders to gather business requirements and ensure smooth adoption of analytics for timely and insight-based decision-making in business and compliance projects.

Conduct in-depth analysis of customer and distribution channel data to identify opportunities for business development, customer acquisition, cross-selling, upselling, retention, and maximizing customer value.

Develop a comprehensive and efficient framework for end-to-end business analytics and data visualization. Establish processes to effectively manage business and visual analytics activities.

Establish and maintain a robust infrastructure for data analytics, ensuring the utilization of cutting-edge techniques. Work closely with IT and stakeholders to ensure the data infrastructure is efficient, scalable, secure, and easily accessible.

Collaborate with external partners, vendors, and technology providers to explore and implement innovative solutions that meet the organization's data needs, enabling the organization to stay ahead in the rapidly evolving digital landscape.

Work closely with the IT department to ensure the security, scalability, and integration of data solutions with existing systems and infrastructure.

Monitor industry trends, competitive landscape, and customer demands to anticipate future digital opportunities and proactively recommend data initiatives.

Job Requirements

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

Master degree in relevant disciplines will be a plus

12+ years of relevant experience in predictive analytics, data science or related quantitative fields

Expert knowledge in different analytic techniques, including SAS, Python, Qlik, and Power BI.

Proficient in translating complex business requirements into tangible analytics tasks, as well as connecting the dots among different analytics projects to drive impact and efficiency.

Strong track record in developing and executing data analytics use cases for new tools and technologies Solid hands-on experiences in decision modeling, predictive analytics, advanced analytics as well as data infrastructure development.

A team player who can work effectively with both technical and business users.

Passionate about the use of data in everyday decision making, driving the acquisition and integration of new data source as well as new tools and technologies.

A self-starter, with strong business acumen, problem-solving skill and resilience in delivering the highest standard of efficiency and effectiveness.

Excellent communication and project management skills.

Knowledge in insurance and financial services is highly preferred.

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