Manager, Data Analytics

Reposted Yesterday
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Hiring Remotely in Hong Kong
Remote
Senior level
Financial Services
The Role
Lead deep-dive analyses across customer segments, channels, and products to generate actionable insights for acquisition, retention, cross-sell and campaign optimization. Build predictive models, perform feature engineering and advanced analytics, design end-to-end analytics and visualization frameworks, and partner with stakeholders to translate business questions into data-driven recommendations.
Summary Generated by Built In

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.

Job Responsibilities

  • Conduct comprehensive deep-dive analyses across customer segments, agency channels, products, and business strategies to uncover trends and deliver actionable insights that drive business objectives.

  • Analyze customer behaviors, channel performance, and market dynamics to identify opportunities for acquisition, retention, cross-selling, and upselling.

  • Leverage advanced analytics to uncover behavioral patterns, digital interactions, and purchase propensity, while optimizing campaigns and enhancing channel productivity.

  • Explore and implement innovative analytical approaches and methodologies to strengthen insight generation and maximize business impact.

  • 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 analysis and provide data-driven recommendations to drive decision-making.

  • Develop a comprehensive and efficient framework for end-to-end business analytics and data visualization

Job Requirements

  • Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related field; Master’s degree preferred.

  • Minimum of 8 years’ experience in analytics, business intelligence, or strategy roles with a strong focus on insight generation.

  • Expertise in statistical analysis, mathematics, machine learning, and advanced analytics techniques.

  • Hands-on experience in data wrangling, feature engineering, and predictive modeling.

  • Knowledge of insurance and financial services is highly desirable.

  • Actuarial background is a plus.

  • Exceptional communication and presentation skills, with the ability to influence senior stakeholders.

  • Innovative mindset with a passion for leveraging analytics to drive business outcomes.

  • Proficiency in Python, R, and SQL;

  • familiarity with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Hadoop) is a plus.

  • 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.

Skills Required

  • Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related field
  • Master's degree
  • Minimum of 8 years' experience in analytics, business intelligence, or strategy roles
  • Expertise in statistical analysis, mathematics, machine learning, and advanced analytics techniques
  • Hands-on experience in data wrangling, feature engineering, and predictive modeling
  • Knowledge of insurance and financial services
  • Actuarial background
  • Exceptional communication and presentation skills, ability to influence senior stakeholders
  • Innovative mindset with passion for leveraging analytics to drive business outcomes
  • Proficiency in Python, R, and SQL
  • Familiarity with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Hadoop)
  • Excellent command of English and Chinese (written and spoken)
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The Company
HQ: London
52,292 Employees

What We Do

In Asia and Africa, Prudential has been providing familiar, trusted financial security to people for 100 years. Today, headquartered in Hong Kong and London, we are ranked top three in 12 Asian markets with 18 million customers, around 68,000 average monthly active agents and access to over 27,000 bank branches in the region. Prudential is focused on opportunities in the most exciting growth markets in Asia and Africa. With access to over 4 billion people in both these regions, we are investing in broadening our presence and building our leadership in the life and asset management markets. We are committed to making a positive impact on our customers, our employees and our communities by delivering the best savings, health and protection solutions to people so they can get the most out of life. Visit our websites for more information Prudential plc: https://www.prudentialplc.com/ Prudence Foundation: https://www.prudentialplc.com/en/prudence-foundation

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