Job Purpose

The People Analytics & Workforce Intelligence Lead plays a critical role in building an integrated, insight‑driven workforce analytics capability that enables effective execution of People and Workforce Strategy.

This role shifts the organisation from fragmented, activity‑based reporting to coherent, decision‑relevant workforce intelligence, leveraging Oracle HCM data, dashboards, and AI‑enabled techniques. It ensures high‑quality, evidence‑based insights that support senior leaders in making informed decisions on workforce structure, capability, and cost.

By partnering with HR, Finance, Strategy, and Technology teams, the role drives standardisation, improves data confidence, and delivers forward‑looking workforce intelligence aligned to business priorities.

Key Roles and Responsibilities

1. Strategic Workforce Analytics & 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, multi‑source datasets into clear, executive‑ready narratives and recommendations.

2. Workforce Data Integration & 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.

3. Dashboarding & 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.

4. Reporting Simplification & 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.

5. Advanced Analytics, Automation & 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.

6. Data Governance & 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 high‑quality, decision‑ready workforce insight across the organisation.

7. 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.

Skills & Experience

• Demonstrated ability in data storytelling—translating complex datasets into clear, actionable, leadership‑ready insights.
• 7–10 years 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.