Sobre este puesto de Business Intelligence Manager, Operations Analytics en Prudential plc
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.
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.
