At Prudential, we understand that success comes from the talent and commitment of our people. Together, we have a shared vision in securing the future of our customers and our communities. We strive to build a business that you can shape, an inclusive workplace where everyone’s ideas are valued and a culture where we can thrive together. Our people stay connected and tuned in to what’s happening around us, keeping us ahead of the curve. While focused on the long-term, we look to the future to bring growth, development and benefit to everyone whose lives we touch.

• Integrate with Distribution Channels, Customer Proposition team, Product team and Digital Marketing team to ensure our lead generation initiatives and the data & analytic strategy aligned with business priorities and long-term distribution, customer and digital innovation strategies
• Lead the team to perform data analytics to identify opportunities across customer acquisition, cross sell and up sell and retention, and to support distribution strategy by providing higher quality data leads to maximize customer value opportunities
• Innovate lead generation activities and manage end-to-end BTL campaign execution and customer contact strategy. Explore and develop new trigger campaigns.
• Deliver robust campaign return on investment (ROI) and provide high quality strategic and tactical recommendations to distribution channels for financial & non-financial benefits
• Ensure team is highly engaged and consistently delivers high performance quality job through supervision, coaching, and providing challenging and developmental opportunities
• Ensure the achievement of the various customer KPIs e.g. customer retention rate, measurable loyalty, repeat sales, net increase of new customer

• Degree holder in Computer Science, Decision Science, Mathematics, Econometrics, Actuarial Science, Marketing Analytics or Statistics
• Master degree in relevant disciplines will be a plus
• Minimum 12 years of working experience in data analytics
• Minimum 2 years of experience in insurance and 2 years in supervisory level will be a plus
• Proven experience in driving analytics strategy and business results
• Proven experience in campaign/lead management across multiple channels
• Strong ability in project management and vendor management
• Hands-on experience in SQL, SAS / R is a must
• Hands-on experience in segmentation / advanced analytic
• Knowledge in data infrastructure
• Strong interpersonal skill
• Fluent in English, written and spoken
• Additional advantage if having experience in data / business consulting; developing QlikSense / Tableau applications; understanding of insurance industry & sales distribution