Reward Intern - Budapest

________

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

_________

The opportunity

We are looking for a curious and analytical Reward Intern to join our People Advisory Services team. You will gain hands-on experience in compensation and benefits, job architecture and pay transparency, supporting client projects through data analysis, research and the preparation of clear, structured materials.

This opportunity is ideal for students who enjoy working with numbers and data and want to turn their university knowledge into practical business experience.

Key Responsibilities

• Prepare and analyse compensation, payroll and workforce data, including salary benchmarking, pay range and pay gap analyses using Excel-based models.
• Support job architecture, job evaluation and job levelling projects by reviewing and structuring job and role data.
• Analyse salary structures, bonus plans and benefits data with guidance from senior team members.
• Research reward market trends, pay transparency and relevant regulatory developments.
• Prepare clear, client-ready charts, summaries and presentations, ensuring accuracy and quality throughout your work.

Qualifications

• Ongoing university studies in Economics, Finance, Data Analytics, Mathematics, Business Informatics or a related field, with at least one year remaining.
• Availability to work 24 hours per week, with flexibility around your university commitments.
• Strong analytical and numerical skills, attention to detail and confidence in working with structured data.
• Good Excel skills, including formulas, lookups and pivot tables, with an interest in developing your analytical capabilities further.
• Good communication skills in English and Hungarian, combined with a collaborative mindset, curiosity and willingness to learn.

Advantage

• Experience with Power Query, Power BI, SQL, Python, R or another data analysis or visualization tool.
• Coursework or project experience in statistics, econometrics, database management, data modelling or optimization.
• Interest in total rewards, compensation and benefits, pay transparency, payroll, personal income tax or social security.

What we look for

We are looking for a motivated student who enjoys solving structured problems, is comfortable working with numbers and takes ownership of producing accurate, high-quality work. You will be a dependable team member who asks thoughtful questions, learns quickly and can manage changing priorities in a dynamic consulting environment. If you are keen to apply your quantitative skills to real business challenges and build practical experience in the reward field, this role is for you.

What we offer

• A global, supportive environment: Work with international teams, learn from experienced colleagues and gain exposure to diverse perspectives.
• Learning beyond the classroom: Develop your skills through online/on-site trainings, language classes and EY’s global tools and methodologies.
• Support for your career: Grow with the guidance of a dedicated mentor and gain valuable experience that helps your CV stand out.
• Support throughout your studies: Your university may recognise the position as your professional practice, and we can also support you with your thesis by sharing practical insights and professional expertise.
• Flexibility for student life: Work 24 hours per week with flexible hours that fit around your university commitments.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.