Data & Total Rewards Specialist | Compensations (Buenos Aires)

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  • Buenos Aires
  • Permanente
  • Tiempo completo
  • Hace 1 día
The Total Rewards Specialist – Reinvention Services is a key member of the General Compensation team, acting as a strategic partner to HR and business stakeholders. This role focuses on fostering stakeholder engagement, aligning compensation strategies with transformation goals, and delivering insights to inform global pay and market intelligence.\n- *Key Responsibilities:
- Build strong partnerships with HR and business stakeholders to align compensation strategies with transformation goals.
- Facilitate stakeholder forums and feedback loops to ensure transparency and collaboration in Total Rewards initiatives.
- Manage communications and expectations across geographies and time zones, adapting engagement strategies as needed.
- Analyze complex datasets using Power BI, Excel, and Python to identify trends in compensation and market positioning.
- Design and maintain Power BI dashboards and reports for actionable insights.
- Conduct deep-dive analyses on pay competitiveness and internal positioning to support compensation decisions.
- Translate quantitative findings into clear, data-driven recommendations for Total Rewards initiatives.
- Collaborate across teams to enhance analytical frameworks and tools within the compensation function.
- Support ad hoc benchmarking, modeling, and reporting for data-informed strategies.
- Contribute to the continuous improvement of compensation technology and data tools.
- *Qualifications
- Proven ability to manage and influence complex stakeholder environments across geographies, functions, and levels.
- Exceptional attention to detail and data accuracy.
- Strong communication and interpersonal skills; collaborative mindset.
- Advanced proficiency in data analysis using Power BI, Excel, and Python.
- Preferred experience with market data and compensation surveys.
- Excellent analytical and problem-solving skills; ability to interpret complex datasets and synthesize insights.
- English skills
- Advanced proficiency in data analysis using Power BI, Excel

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