Performance Management Analyst

About the role

Prudential is hiring a Performance Management Analyst within its Distribution Strategy, Performance and Compensation team. The role makes sense of the sales numbers behind the business, identifies trends and provides insights through report automation, performance dashboarding, AI-enabled analytics and business analysis, and supports distribution channels in developing and evaluating schemes that drive productivity.

Key responsibilities

• Deliver timely insights, forecasts and reports for management, distribution channels and stakeholders.
• Support strategic and business topics, including deep-dive sales analysis and simulation, to build a competitive channel distribution.
• Understand the broader strategic direction and formulate plans to meet business goals.
• Drive report dashboarding, automation and AI-enabled analytics, building platforms that link sales and compensation data.
• Use AI tools, automation and advanced analytics to improve forecasting, streamline recurring reporting and generate actionable insights.
• Champion AI-native ways of working while keeping data security, governance and validation standards.
• Align views on sales performance, forecasts, reports and compensation with finance, product and marketing teams.
• Monitor and analyse KPIs against planned targets and comment on channel performance to external stakeholders such as bank partners.

Required profile

• 4-6 years of experience in a numerate field such as financial planning, performance management, business analytics or similar.
• Degree in a numerate discipline such as finance, accounting, engineering, business analytics, data science or a related field.
• Advantageous: exposure to data automation, digital transformation, AI-enabled analytics or business intelligence; insurance industry experience.
• Excellent communication skills and ability to adapt quickly in a fast-moving environment.

Required skills

• Strong analytical skills and numeracy, translating data into business insights.
• Proficiency in Qlik, Power BI, Python and other data visualisation or automation platforms.
• AI-native use of tools such as Microsoft Copilot, generative AI and machine-learning analytics, with sound judgement over AI outputs.