• Work with Head, Customer Analytics to achieve the assigned goals below by deepening engagement and enhancing customer experience along the entire customer journey for Company policyholders and members of both individual life and corporate business, 
• Primary role will be  the development of data analytics and propensity modelling solutions to help the businesses on key initiatives to improve retention, increase acquisition, x-sell, and up-sell  efficiency, improve business performance, provide better customer experience through enhanced engagement, and manage and enhance the infrastructure of Data Warehouse in continuously strengthening capabilities for customer / business analyses

 

Responsibilities

• Drive engagement, retention, repurchase, cross-sell of existing customers and foster new customer acquisition through right segmentation & propositions, robust channel support and data-driven analytics;
• Focus on Customer Centricity – driving increased customer repurchase and contactable base, an improving retention levels via data/analytics and insight-led initiatives for both individual and corporate customers;
• Identify next to buy offers in order to optimize the performance of cross sell and upsell campaigns;
• Use data analytics to help marketing, customer and sales departments to improve sales effectiveness in different touch points;
• Identify actionable insights, suggest recommendations, and influence the direction of the business of cross functional groups;
• Increase the penetration of insurance product in the bankcassurance business;
• Explore and analyze all the information captured in Company Fintech program to understand customer behavior and provide better customer experience;
• Work with the digital information from Company websites/Social Media to track customer journey and identify opportunities for x-selling and better servicing the customers;
• Explore alternative sources of information, such as social media, blogs, mobile to understand customer behavior and unveil market opportunities

 

Requirements

• Bachelor’s degree in a numerate discipline e.g. Actuarial science, Mathematics, Statistics, Engineering, or Computer Science with a strong computer programming component;
• At least 8 of years working experience in data mining, data modeling, business or customer analytics, creating IT solutions and execution of database campaign, ideally with experience in predictive analytics;
• Tenacious, with a desire to ‘get to the bottom’ of things with sound logical reasoning and deep thinking ability
• Exposure to all stage of data analytics project lifecycle (identification, extraction, loading, transforming/shaping, analysing, developing and tracking) ;
• Demonstrable understanding of data quality risks and ability to carry out necessary quality checks to validate results obtained;
• Proven hands-on experience in the use of at least one advanced data analysis platform (e.g. SAS, SPPS, R);
• Sound knowledge of programming in SQL or other programming experience;
• Articulate, with excellent oral and written communication skills. Adaptable, able to interact and build strong relationships with people from a diverse range of backgrounds;
• Fast learner with a willing attitude. Intellectually rigorous, with strong analytical skills and a passion for data;
• Prior experience in financial institutions and knowledge of insurance business, agency model, healthcare analytics is preferred;
• Experience in big data environment and tools such as Hadoop, Hive, Google Analytics and Adobe Analytics is a plus

ZEBRA™ Strategic Holdings Limited is a performance-based holistic Human Capital Solutions provider that services Corporate Clients across Asia Pacific region.

With more than a decade of solid experience, ZEBRA™ successfully listed on the GEM board of the Hong Kong Stock Exchange in the year of 2013.

Our client, a leading institution is currently seeking for a high-caliber candidate to join their team.

To find out more about Zebra jobs, visit us at https://www.zebragroup.com/