Global Compensation and Benefits Specialist (Data, Governance & Insights)
hace 14 días
Madrid
Mission No deje pasar esta oportunidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción. • 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 • 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, • 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, • 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, • 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, • 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, • 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), • Deep understanding of HRIS systems (Workday or equivalent) Analytical Capabilities • Strong expertise in statistical analysis and modelling, • Ability to build predictive xcskxlj 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 • 3–4 years in compensation analytics, HR analytics, consulting, or finance, • Proven experience managing complex, multi‑source datasets at scale 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 #J-18808-Ljbffr