Prudential
From Prudential's careers page
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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.
Drive analytical roadmaps and metrics for the marketing team using statistical and BI tools, including but not limited to SAS, Qliksense and Power BI. Constantly explore new technologies to lead the team into advanced analytics.
Work collaboratively with senior stakeholders in the analytics infrastructure and ecosystem to facilitate marketing, underwriting and management team in driving business analytics and strategy.
Perform data mining and correlation analysis to discover marketing opportunities and communicate the findings and recommendation to the business stakeholders to support and influence strategic and marketing decisions, project initiatives.
Leading a team of analysts in interpreting and transforming systems variables in enhancing business analytics, forecasting, management reporting, business planning and data consumption for strategic decision management.
Drive a culture of data-driven marketing through evangelism of self-service platform usage (such as Qliksense) and ensuring robust and timely data are made available for various stakeholders so that they can use the appropriate data to make impactful decision.
Knowledge based management on effective use of information
Implementation of key value driver measurement continuum
Utilization of decisional analytics models
To provide expertise in the introduction of marketing programs by assisting in the development of test designs, analysis and benchmarking processes:
Product profitability assessment
Statistical significance testing
Variance analysis
Impact and consequential analysis
Development and implementation of analytics models to support business strategies and value creation:
Market behavioral models
Life cycle models
Sensitivity modeling & analysis
Time series and forecasting models
Optimization and cost-risk-benefit models
Bachelors with at least 2nd class upper of equivalent or Masters degree in quantitative background from a reputable university
Solid experience in operations, MIS and systems management and banking/insurance marketing , advanced analytics
At least 9 years in-depth managerial experience in banking industry, concentration in marketing, finance and credit exposure will be an added advantage
Awareness of consumer, and commercial products and market trends
Experienced in SAS , R, Hadoop , Qliksense.
Experienced in practical application and deployment of analytical models such as propensity and segmentation models is an added advantage
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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