Business Intelligence Analyst

Prudential's purpose is to be partners for every life and protectors for every future.

The Business Intelligence Analyst is responsible for turning fragmented workforce, cost and operational data into trusted, decision-ready insights for Technology and Operations leadership.

Responsibilities

Data Engineering and Quality

• Consolidate, clean and transform data from multiple central and local business unit sources into a single, reliable analytical baseline.
• Build and maintain repeatable data pipelines and templates that reduce manual handling and improve refresh cycle time.
• Run validation checks with regional CITOs, HRBPs and finance partners to ensure data accuracy before publication.

Analytics and Insight Generation

• Drive core metric calculations across workforce and cost.
• Conduct cross-market benchmarking and trend analysis to surface efficiency, capability and cost optimisation opportunities.
• Translate quantitative findings into clear business interpretation for senior stakeholders.

Dashboarding and Visualisation

• Design, develop and maintain Power BI dashboards that provide unified workforce and cost intelligence.
• Manage monthly dashboard refreshes, release notes and stakeholder communications.
• Continuously enhance usability, data model performance and self-serve adoption among central leads and regional CITOs.

Stakeholder Partnership

• Act as the analytics point of contact for central teams, regional CITOs and local business unit partners on workforce and cost data queries.
• Support strategic workforce planning, VCC and transformation programmes with on-demand analysis and scenario modelling.
• Contribute to executive-ready materials, briefing packs and board-level reporting where data is the backbone.

Job Requirements

• Degree in a quantitative or business discipline.
• Hands-on experience in data analytics, business intelligence or workforce/financial analytics.
• Strong proficiency in Power BI and Excel; working knowledge of SQL and Python is a plus.
• Demonstrated ability to clean, transform and validate large datasets with high accuracy.
• Comfortable engaging senior stakeholders and translating data into business narrative.