Analytics & Workforce Intelligence Lead
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At a glance
Job overview
The candidate will deliver integrated workforce and people analytics, generate actionable insights, translate complex datasets into executive-ready narratives, and partner with finance and HR to support strategic workforce initiatives.
Skills & qualifications
Skills
Qualifications
Full job description
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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