Prudentials 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 peoples career ambitions. We pledge to make Prudential a place where you can Connect Grow and Succeed.
Job Profile Summary
Were 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 transformationsomeone 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 impactclear 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.
Required Experience:
Manager
Prudentials 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...
Prudentials 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 peoples career ambitions. We pledge to make Prudential a place where you can Connect Grow and Succeed.
Job Profile Summary
Were 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 transformationsomeone 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 impactclear 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.
Required Experience:
Manager
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