
Real job — pulled straight from Prudential Financial’s careers page · Verified July 21, 2026 · No reposts.
Job description
Prudential Financial is hiring a Data Analytics Manager — a full-time, based in Hong Kong role. Apply directly on Prudential Financial's careers page below.
Manager, Data Analytics
Location: Hong Kong
Time Type: Full time
Job Description
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.
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Frequently asked questions
What skills are required for Data Analytics Manager at Prudential Financial?
The required skills for Data Analytics Manager at Prudential Financial include: Python, R, SQL, Machine Learning, AWS, Azure, GCP, Spark, Hadoop.
What is the seniority level for Data Analytics Manager at Prudential Financial?
Data Analytics Manager at Prudential Financial is a Manager / Senior level position.
How do I apply for Data Analytics Manager at Prudential Financial?
You can view the full description and apply for Data Analytics Manager at Prudential Financial on EchoJobs: https://echojobs.io/job/prudential-financial-manager-data-analytics-8igje.