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PTSI | Business Intelligence Analyst

Pay
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Work setting
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Consolidate and clean data from central and LBU sources into one analytical baseline

  • Build and maintain repeatable data pipelines and templates

  • Design, develop and maintain Power BI dashboards

  • Calculate workforce and cost metrics such as headcount, span of control and TCO per FTE

  • Translate findings into business interpretation for senior stakeholders

From the employer’s posting
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
Design, develop and maintain Power BI dashboards (including TechNucleus and Ops Headcount)
Drive core metric calculations across workforce (headcount, span of control, CW vs perm mix) and cost (TCO per FTE, per application, per LBU)
Translate quantitative findings into clear business interpretation for senior stakeholders, not just charts and tables
Apply at Prudential

Posting record

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Open 4 monthsWe first saw this posting 125 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 2, 2026125 days ago
Recorded sightings
200
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 125

Up longer than most. Similar jobs usually come down between day 5 and day 41.

From 10,578 similar postings that came down. Coming down is not always a hire.

Prudential is hiring

23 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is steady
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Excel
  • Power BI
Where the posting names them
- 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.
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.

Your next step

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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.

Source details

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Location & working pattern

Bangalore

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