At a glanceSummarised by Seekless from the posting.
Must have9
Degree in a quantitative or business discipline (Data Analytics, Statistics, Computer Science, Finance, Business, or related)
Hands-on experience in data analytics, business intelligence or workforce/financial analytics, preferably in a multi-market or matrixed organisation
Strong proficiency in Power BI (data modelling, DAX, visual design) and Excel
Demonstrated ability to clean, transform and validate large, messy datasets with high accuracy
Comfortable engaging senior stakeholders and translating data into business narrative
Detail-oriented and evidence-led, with a strong instinct for data quality and methodology rigour
Self-starter who can operate independently across markets and time zones
Collaborative connector who builds trust with central and LBU partners
Bias for action, with the ability to balance speed, accuracy and clarity in a fast-moving transformation environment
Nice to have1
Working knowledge of SQL and Python is a plus
Skills
Power BI
Excel
SQL
Python
About the company
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.
About the role
The Business Intelligence Analyst is responsible for turning fragmented workforce, cost and operational data into trusted, decision-ready insights for Technology and Operations leadership. The role sits at the centre of the SDO data engine, owning the end-to-end flow from source data to executive dashboards, and partnering with central functions and local business units (LBUs) to drive transparency on headcount, total cost of ownership (TCO) and capability mix.
Responsibilities
Data Engineering and Quality
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Consolidate, clean and transform data from multiple central and LBU sources into a single, reliable analytical baseline.
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Build and maintain repeatable data pipelines and templates that reduce manual handling and improve refresh cycle time.
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Run validation checks with regional CITOs, HRBPs and finance partners to ensure data accuracy before publication.
Analytics and Insight Generation
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Drive core metric calculations across workforce (headcount, span of control, CW vs perm mix) and cost (TCO per FTE, per application, per LBU).
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Conduct cross-market benchmarking and trend analysis to surface efficiency, capability and cost optimisation opportunities.
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Translate quantitative findings into clear business interpretation for senior stakeholders, not just charts and tables.
Dashboarding and Visualisation
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Design, develop and maintain Power BI dashboards (including TechNucleus and Ops Headcount) that provide unified workforce and cost intelligence.
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Manage monthly dashboard refreshes, release notes and stakeholder communications.
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Continuously enhance usability, data model performance and self-serve adoption among central leads and regional CITOs.
Stakeholder Partnership
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Act as the analytics point of contact for central teams, regional CITOs and LBU partners on workforce and cost data queries.
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Support SWP (Strategic Workforce Planning), VCC and transformation programmes with on-demand analysis and scenario modelling.
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Contribute to executive-ready materials, briefing packs and board-level reporting where data is the backbone.
Requirements
Job Requirement
•
Degree in a quantitative or business discipline (Data Analytics, Statistics, Computer Science, Finance, Business, or related).
•
Hands-on experience in data analytics, business intelligence or workforce/financial analytics, preferably in a multi-market or matrixed organisation.
•
Strong proficiency in Power BI (data modelling, DAX, visual design) and Excel; working knowledge of SQL and Python is a plus.
•
Demonstrated ability to clean, transform and validate large, messy datasets with high accuracy.
•
Comfortable engaging senior stakeholders and translating data into business narrative.
•
Detail-oriented and evidence-led, with a strong instinct for data quality and methodology rigour.
•
Self-starter who can operate independently across markets and time zones.
•
Collaborative connector who builds trust with central and LBU partners.
•
Bias for action, with the ability to balance speed, accuracy and clarity in a fast-moving transformation environment
Legal
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.