PTSI | Business Intelligence Analyst
At a glance
Mid-level Data Analysis & BI role at Prudential. Bangalore · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Combine workforce, cost and operations data from central teams and local units into a dependable analytical baseline
- Create reusable pipelines and templates, then check source data with regional technology, HR and finance partners before release
- Calculate workforce and cost measures, compare markets, and explain trends and improvement opportunities to senior leaders
- Build and maintain Power BI dashboards, refresh them monthly, and communicate releases to users
- Answer partner data questions and provide scenario analysis and reporting for workforce planning and transformation work
What you bring
- A degree in a quantitative or business area such as analytics, statistics, computer science or finance
- Practical experience in analytics, BI or workforce and financial analysis, ideally across multiple markets or a matrixed setup
- Strong Power BI skills, including data modelling, DAX and visual design, plus Excel proficiency
- You can clean and verify large, untidy datasets accurately, then turn findings into a clear business explanation
Who this fits
This role suits a mid-level analyst who can work independently across markets and time zones while building trusted relationships with central and local partners. You’ll work with senior stakeholders and support executive and board-level reporting.
From the employer
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.
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.
Data Engineering and Quality
Consolidate, clean and transform data from multiple central and LBU 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 (headcount, span of control, CW vs perm mix) and cost (TCO per FTE, per application, per LBU).
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, not just charts and tables.
Dashboarding and Visualisation
Design, develop and maintain Power BI dashboards (including TechNucleus and Ops Headcount) 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 LBU partners on workforce and cost data queries.
Support SWP (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 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
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.
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