Business Intelligence Manager, Operations Analytics

Posted 6 Days Ago
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Singapore, SGP
In-Office
Senior level
Financial Services
The Role
Lead operations analytics: frame problems, perform EDA and hypothesis testing, extract and prepare data with SQL/Python, generate actionable insights, build repeatable dashboards and frameworks, and partner cross-functionally to drive operational interventions.
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 Profile Summary

We’re seeking a strategic and hands-on Operations Analytics Manager to uncover actionable insights across our operations value chain. This role is ideal for someone who thrives at the intersection of data science, operational strategy, and business transformation—someone who can frame the right problem, explore the data landscape, and drive decisions that matter.

Key Responsibilities

  • Frame the problem: Translate business pain points into structured problem statements using issue trees

  • Explore the data: Conduct exploratory data analysis (EDA) to identify root causes, patterns, and anomalies across operational processes

  • Hypothesis-driven analytics: Formulate and test hypotheses using statistical and scripting methods to validate root causes and solution levers

  • Insight generation: Translate complex data into clear, actionable insights for senior stakeholders across underwriting, claims, and operations

  • Action design: Recommend and track interventions based on data-driven findings

  • Data handling: Use SQL and Python to extract, clean, and join datasets from multiple sources into tidy, analysis-ready formats

  • Framework development: Build repeatable analytics frameworks and dashboards to monitor performance, quality, and risk signals

  • Partner cross-functionally: Collaborate with product, tech, and frontline teams to ensure insights are embedded into decision-making and design

Qualifications & Skills

  • 5+ years in data analytics, operations strategy, or consulting (insurance or financial services preferred)

  • Strong command of SQL and Python for data extraction, transformation, and analysis

  • Experience with EDA, hypothesis testing, and root cause analysis

  • Familiarity with issue tree frameworks 

  • Ability to translate data into business impact—clear communicator with executive presence

  • Experience working with large, messy, or cross-functional datasets

  • Exposure to insurance operations, claims workflows, or underwriting systems

 

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

  • 5+ years in data analytics, operations strategy, or consulting
  • Strong command of SQL and Python for data extraction, transformation, and analysis
  • Experience with exploratory data analysis (EDA), hypothesis testing, and root cause analysis
  • Familiarity with issue tree frameworks
  • Ability to translate data into business impact; clear communication and executive presence
  • Experience working with large, messy, or cross-functional datasets
  • Exposure to insurance operations, claims workflows, or underwriting systems
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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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