Compensation & Organization Analyst, HR

Overview

Are you interested in joining a dynamic and international team of professionals to transform education? IE University's Talent Management, Human Resources department is looking for a Compensation & Organization Analyst  to join its team! The Compensation & Organization Analyst will report directly to the Manager of Total Rewards & Organization and will play a key role in maintaining and analyzing organizational and compensation data to ensure alignment between job architecture, headcount, and business needs. This position will support the integrity of HR data, contribute to the budgeting and reporting processes, and provide analytical insights that enable data-driven decisions in compensation and organizational design.   Why IE University?With 50 years of experience and founded by and for entrepreneurs, IE University has turned business education on its head through disruptive teaching. We count on high-level faculty who bring real-world experience into the classroom and foster a hands-on approach to learning.   Our PurposeAt IE University, we foster positive change through education, research, and innovation.As a transformative educational institution, we empower students to make their mark on the world. We provide them with the skills, knowledge, and environment needed to make a difference, and they join a supportive and international community that lasts a lifetime.Our spirit of innovation and entrepreneurship has allowed us to drive change and constantly stay at the cutting edge of higher education. And through diversity, we have harnessed the power of people while also understanding and embracing the importance of the humanities.   Our People At IE we are:

• People-driven
• Change Builders
• Autonomy Enthusiasts
• Communication Enthusiasts
• Knowledge Champions

We are looking for a person to join a full-time position in Madrid - IE Tower.

Responsibilities

Your role as Analyst will involve:

 

• Maintain and update job positions in the HR System (Dynamics 365), ensuring consistency with job architecture and organizational structure. 

• Monitor and reconcile actual headcount vs. approved budgeted positions; proactively track and report deviations or anomalies. 

• Support the annual HR budgeting processes, including data consolidation and report preparation. 

• Regularly update and maintain the organizational structure in the HR system, reflecting changes in reporting lines, departments, or headcount. 

• Design and generate HR dashboards and reports using Business Intelligence tools (e.g., Power BI), providing relevant insights for decision-making. 

• Assist in compensation benchmarking and market analysis to support salary reviews and internal equity evaluations. 

• Collaborate in the preparation of compensation and organizational structure reports and presentations. 

• Support audits and compliance processes related to compensation, benefits, and HR metrics. 

• Provide support in job evaluation. 

Qualifications

To thrive in this role, you should possess the following qualifications: 

• Bachelor’s degree in Business Administration, Economics, HR, or related field. 

• 2+ years of experience in an HR analytics, compensation, or budgeting role. 

• Strong analytical and numerical skills with attention to detail. 

• Proficient in Microsoft Excel and in Business Intelligence tools (e.g., Power BI) 

• Experience with HRIS platforms (e.g., Dynamics 365, SAP, Workday). 

• Understanding of compensation principles, job evaluation, and organizational structures. 

• Excellent organizational and communication skills. 

• Fluent in English and Spanish. 

 Unleash your full potential and make an impact. The next move is yours! 

 

If you want to be part of this educational revolution, we invite you to apply and be part of our dynamic team at IE University.   At IE University, we actively promote equal opportunities in recruitment processes and access to employment, always ensuring the absence of gender, sexual orientation, religion, age, ethnic origin, or disability bias throughout the entire selection process.