Job Description
Agency :
Havas Media Group Spain
Mission
- Own the accuracy, integrity, and strategic value of all compensation data globally
- Position data as the single source of truth for compensation decisions
- Drive advanced analytics to support executive decision-making, pay equity, and workforce strategy
- Lead the transformation of Compensation & Benefits into a data-driven, insight-led function
Key Responsibilities
1. Global Data Ownership & Integrity
- Act as global owner of compensation data quality across all systems and geographies
- Define, implement, and enforce data governance frameworks (standards, controls, audit protocols)
- Ensure alignment between compensation data, job architecture, grading, and organisational structure
- Lead resolution of complex data issues across HRIS, payroll, finance, and external providers
- Ensure full audit readiness and traceability of all compensation data
2. Advanced Analytics & Strategic Insights
- Lead deep analytics on compensation, including:
- Pay equity, pay gaps, and regulatory compliance
- Salary positioning, compression, and outliers
- Workforce cost modelling and optimisation
- Develop predictive models (e.g. pay evolution, retention risk linked to compensation)
- Provide executive-level insights and recommendations to HR and business leaders
- Challenge assumptions and move the function from reporting → diagnosis → prediction
3. Executive Reporting & Data Visualization
- Design and own global compensation dashboards and analytics frameworks
- Deliver clear, concise, decision-ready outputs for leadership and governance bodies
- Ensure all reporting meets highest standards of accuracy, clarity, and consistency
- Lead automation of reporting for:
- Annual compensation reviews
- Bonus cycles
- Pay transparency and regulatory reporting
4. Systems, Data Architecture & Integration
- Act as functional owner of compensation data architecture (HRIS + analytics layer)
- Partner with HRIS, IT, and Finance to design scalable data models and integrations
- Define data structures supporting analytics, reporting, and future AI use cases
- Ensure consistency across all compensation-related systems and datasets
5. Process Transformation & Automation
- Redesign compensation processes through automation and standardisation
- Eliminate manual interventions and reduce operational risk
- Build scalable frameworks for global compensation cycles (merit, bonus, LTIP)
- Drive continuous improvement in efficiency, accuracy, and speed
6. Governance, Risk & Compliance
- Lead compensation data readiness for:
- Pay transparency regulations
- Internal audits
- External regulatory reporting
- Identify and proactively mitigate compensation risks (equity gaps, inconsistencies, anomalies)
- Define governance KPIs and monitor compliance across markets
Requirements
Technical Skills
- Advanced Excel + strong expertise in complex data manipulation
- Proven experience with BI tools (Power BI, Tableau or equivalent)
- Strong knowledge of data modelling, databases, SQL (Python is a strong plus)
- Deep understanding of HRIS systems (Workday or equivalent)
- Expertise in data governance, data quality frameworks, and audit processes
Analytical Capabilities
- Strong expertise in statistical analysis and modelling
- Ability to build predictive and scenario-based models
- Strong business acumen to translate analytics into decisions and actions
Leadership & Influence
- Ability to influence senior stakeholders through data-driven narratives
- Strong ownership mindset with accountability for outcomes, not just analysis
- Ability to challenge and redefine existing practices
Soft Skills
- Exceptional attention to detail and structured thinking
- Strong communication skills with ability to simplify complex topics
- Curiosity and continuous improvement mindset
Experience & Education
- 5–8 years in compensation analytics, HR analytics, consulting, or finance
- Proven experience managing complex, multi-source datasets at scale
- Experience in international environments with regulatory complexity
- Degree in Business, Economics, Data Analytics, Statistics or related field
Impact (what success looks like)
- Compensation data fully trusted as single source of truth globally
- Significant reduction of manual work through automation
- Real-time visibility on pay risks (equity gaps, outliers, compliance issues)
- Faster and more accurate compensation cycles
- Strong audit readiness with zero major data quality issues
#LI-CO1
Contract Type :
Permanent
Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.
