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Zepto

Posted 27 Aug 2026

Analytics & Workforce Intelligence Lead

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Employment
Full time
Team
Data Science & Analytics
Posted
27 Aug 2026

About the role

The candidate will have responsibilities across the following functions:


Strategic Workforce Analytics and Insight:

  • Deliver integrated workforce and people analytics that enable evidence-based decision-making aligned to People and Workforce Strategy.
  • Generate actionable insights across workforce structure, roles, capacity, productivity, skills, and costs, moving beyond descriptive reporting.
  • Translate complex, multisource datasets into clear, executive-ready narratives and recommendations.


Workforce Data Integration and Intelligence:

  • Integrate workforce data across HR systems, Finance, and other people data sources to create a single, aligned view of workforce intelligence.
  • Align metrics, assumptions, and reporting standards across HR, Finance, and Strategy to drive shared understanding.
  • Partner closely with Finance to connect workforce and cost analytics with financial planning and performance management.


Dashboarding and Reporting Transformation:

  • Design, build, and maintain integrated workforce analytics dashboards using tools such as Power BI, Tableau, or equivalent.
  • Drive the shift toward dashboard-led analytics, reducing fragmented, manual reporting.
  • Ensure dashboards are intuitive, standardised, and tailored for senior leadership decision-making with clear data definitions.
  • Continuously measure and improve dashboard adoption, usability, and business impact.


Reporting Simplification and Optimisation:

  • Lead the rationalisation and simplification of workforce reporting, eliminating duplication and low-value outputs.
  • Replace activity-based reporting with insight-driven, decision-focused analytics.
  • Establish a scalable and efficient analytics framework across the People function.


Advanced Analytics, Automation and AI Enablement:

  • Apply AI-enabled techniques and automation to enhance the speed, consistency, and quality of insight generation.
  • Use advanced analytics to surface trends, patterns, and forward-looking workforce intelligence, while ensuring practical and business-aligned application.
  • Support workforce initiatives and strategic programmes through structured, predictive insights.


Data Governance and Quality Stewardship:

  • Establish and maintain clear definitions, standards, and governance for workforce analytics (especially within Oracle HCM environments).
  • Improve confidence in workforce data through transparency of methodologies, assumptions, and calculations.
  • Act as a steward of highquality, decision-ready workforce insight across the organisation.


Stakeholder Partnership:

  • Partner with senior HR leaders, Finance, and Strategy teams to support workforce strategy execution.
  • Enable self-service insights where appropriate while guiding stakeholders on data interpretation.
  • Support key workforce planning and organisational initiatives through insight-led collaboration.


Requirements:

  • Demonstrated ability in data storytelling, translating complex datasets into clear, actionable, leadership-ready insights.
  • 7-10 years of experience in People Analytics, Workforce Analytics, HR Analytics, or Business Intelligence roles, preferably in complex or matrixed environments.
  • Knowledge of Oracle HCM data modules, including OTBI, BI Publisher, and FDI.
  • Proven experience in designing and delivering dashboard-led workforce analytics solutions(Power BI, Tableau, or similar tools).
  • Advanced analytical capability using Excel, SQL, and BI platforms.
  • Demonstrated ability in data storytelling, translating complex datasets into clear, actionable, leadership-ready insights.
  • Experience leveraging automation and AI-enabled analytics techniques to enhance reporting and insight generation.
  • Strong understanding of workforce concepts, including capacity, productivity, performance, costs, roles, and skills.
  • Ability to influence stakeholders and drive adoption of standardised, insight-driven analytics practices.

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