Senior Data Analyst
Prudential plcPhilippines
Posted May 4, 2026
Full Time
About the Company
We are Prudential. For Every Life, For Every Future. Prudential has been providing familiar, trusted financial security to people for over 175 years. We are headquartered in Hong Kong and have dual primary listings on the Stock Exchange of Hong Kong and the London Stock Exchange.  We are served by around 65,000 average monthly active agents and more than 200 bank partners. 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. Visit our websites for more information: Prudential plc: https://www.prudentialplc.com/ Prudence Foundation: https://www.prudentialplc.com/en/prudence-foundation
Job Description
The Senior Data Analyst role involves turning data into information, information into insight, and insight into business decisions by conducting full lifecycle analysis, ensuring data integrity, developing ETL processes, and implementing automation solutions. The role leads data innovation initiatives, reports key metrics to senior management, and builds analytics capability within the team through training and change management.
Requirements
- Bachelor’s degree in Computer Science, Applied Mathematics, Operations Research, Statistics, or related fields
- Expert knowledge and practice (Level 3) of MS Office applications (MS Word, MS Excel, and PowerPoint)
- Knowledge and practice with minimal supervision (Level 2) in life insurance products, processes, and operations
- LOMA Certification Level 1 and LOMA Certification Associate Life Insurance Management (ALMI) is preferred but not required
- Customer Communication skill
- High Interpersonal skill
- Ability to present data cohesively that can lead to insights and decision-making
- Ability to extract insights from data for recommendations and next action steps
- Knowledge of reporting and visualization tools such as Business Objects, PowerBI and Tableau
- Programming Skills – knowledge of database query languages like SQL and Python
- Solid understanding of data engineering practices, ETL processes, and data warehousing concepts and familiarity with Azure data platforms
Benefits
- Equal opportunity employer
- Equality of opportunity of benefits for all
- Reasonable adjustments to support people with individual physical or mental health requirements