People Analytics & Total Rewards Intern

Coty; Amsterdam; On-site; EUR 6,696 - 10,044; Full time

Job summary

Coty HQ in Amsterdam is seeking a People Analytics & Total Rewards Intern to support global initiatives in data-driven HR decision making, reward analytics and analytics projects.

You will work with the Global HRIS / People Analytics and Total Rewards teams on analytics, research and process improvements, gaining exposure to HR systems and governance.

Qualifications

• Interest in HR data, analytics and total rewards.
• Currently enrolled in a relevant program (e.g. Business, HR, Data Analytics, Economics, Finance).
• Comfortable working with data, Excel, Microsoft tools; Power BI or similar is a plus.
• Strong analytical mindset with attention to detail.
• Good communication skills and ability to translate data into insights.
• Able to conduct structured research and synthesize findings.
• Proactive, structured and able to work independently.
• Fluent in English.

Responsibilities

• Support People Analytics & HR Data initiatives, maintain dashboards and reports.
• Assist with Total Rewards analytics, including pay transparency, benefits, and program analytics.
• Contribute to data governance and accuracy within HR systems (e.g. SuccessFactors).
• Support reporting solutions, self-service analytics, and automation opportunities.
• Prepare materials, presentations and documentation for rewards initiatives.
• Assist with other HRBP tasks as needed.

Skills

HR data

Analytics

Total rewards

Excel

Power BI

Communication

Independent work

Education

Student in relevant program

Tools

Power BI

Job description

Overview

At Coty HQ in Amsterdam, the People Analytics & Total Rewards Intern supports global initiatives across People Analytics and Total Rewards. This role offers hands-on exposure to data-driven HR decision making, reward agenda and analytics, and HR systems.

You will work closely with the Global HRIS / People Analytics and Total Rewards teams, contributing to key projects, analytics, research and process improvements.

Responsibilities

• People Analytics & HR Data
• Maintain and enhance recurring HR dashboards and reports (e.g. headcount, attrition, organizational metrics)
• Support ad hoc analysis to inform workforce decisions and leadership discussions
• Identify opportunities to improve data quality, standardization, and automation
• Support data governance and data accuracy initiatives within HR systems (e.g. SuccessFactors)
• Contribute to the evolution of reporting solutions and self-service analytics

• Total Rewards
• Support the broader Total Rewards agenda, including pay transparency, reward analytics, recognition and benefits programs through data preparation and analysis
• Assist with reward analytics, including pay gap analysis, salary and benefits benchmarking, program usage and engagement levels and ad hoc reward reporting
• Support the design, communication and tracking of our recognition program
• Conduct research on regulatory requirements, reward trends and market best practices (e.g. EU Pay Transparency Directive, CSRD, etc.)
• Prepare materials, presentations and documentation to support ongoing reward, recognition and benefits initiatives
• Help maintaining the Total Rewards Communication Hub – keeping access, content and toolkits across the Total Reward portfolio up to date, well-structured and easy to navigate for the intended audience

• Process Improvement & HRIS Exposure
• Support continuous improvement of HR processes and reporting workflows
• Explore opportunities to leverage automation and AI to enhance data processing and reporting
• Contribute to improving system usage and data structures within HR platforms
• Support documentation of processes and reporting logic

• Other
• If and where appropriate, the intern could be asked to support other HRBP tasks, including those that benefit their understanding of the HR role and/or are part of their internship assignment.

Requirements

• Strong interest in HR data, analytics and total rewards
• Currently enrolled in a relevant program (e.g. Business, HR, Data Analytics, Economics, Finance)
• Comfortable working with data, Excel, Microsoft and analytical tools; experience with Power BI or similar a plus
• Strong analytical mindset with attention to detail
• Good communication skills and ability to translate data into insights
• Comfortable conducting structured research and synthesizing findings into clear summaries
• Proactive, structured and able to work independently
• Interest in HR systems, reward tooling and digital solutions is a plus
• Fluent in English

Period

This internship is full-time, for a duration of 6 months. You will receive an internship allowance and NS Business Card if you do not have a student public transport card. The internship can be combined with a thesis. Be aware that this will largely have to be done in your own time.