Manager / Senior Manager, Data Analytics
Solliciteren
Plaats
Brussel1000
Brussel
België
Contract
Vooltijds, Onbepaalde duurDatum gepubliceerd
2026-02-19Online to:
2026-04-20EUR 20.00 HOUR
Manager / Senior Manager, Data Analytics
- Pru Life UK
- Brussel
- 3 uren geleden
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.
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.
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