Total Rewards Intern

Hoya Vision Care; Singapore; On-site; SGD 11,000 - 22,000; Full time

Job summary

Hoya Vision Care invites motivated interns to join the global rewards team in Singapore. The internship focuses on total rewards programs, compensation and benefits practices across countries, and contributing to business strategy through analytics and cross-cultural collaboration.

Interns will support PSO reporting, salary planning, and MIP processes, while gaining exposure to career architecture, international mobility, data simulations, and market data analysis in a dynamic HR environment.

Qualifications

• Preferably students from Bachelor & Master courses specializing in Economics, Engineering, Finance, Data Analytics, Market Research, Human Resources.
• Priority will be given to those who can commit internship for at least 6 months.
• Good inclination on finance, market research and data analytics.
• Has knowledge on using MS Office, Advance Excel, Power BI, and an advantage to have knowledge and skills in Python, and other data analytics tool.
• Strong analytical skills, astute and meticulous.
• Good inter-personal and communication skills.
• Can work well under pressure.
• Numbers-driven and analytical, keen attention to details, able to manage large sets of data.

Responsibilities

• Coordinates requirements and provides support to TR team on Phantom Stock Option (PSO) regular reporting and annual nomination process, Salary Review Planning and Budget Annual Planning process, and Global Mgt. Incentive (MIP) process.
• Rewards projects ie. Career architecture, International Mobility (IM) set-up, particularly on data simulations and modelling, project monitoring, coordination with different stakeholders and external partners, as needed.
• Conducting research studies related to rewards – policies, programs, trends, market data, rewards practices.
• Preparation of various compensation-related analysis for different countries and in different regions.

Skills

MS Office

Advanced Excel

Power BI

Python

Data analytics

Education

Bachelor or Master in Economics, Engineering, Finance, Data Analytics, Market Research or HR

Tools

Python

Job description

The Internship Aims To Provide The Following

• Learning and experience on global and strategic total rewards programs, processes and projects.
• Understanding of the different rewards (compensation and benefits) practices, policies of various countries and what influences them.
• Understand the importance of rewards function and its value under the HR function umbrella and on the whole spectrum of the employee experience, consequently to the business strategy.
• An enriching internship experience where they can apply their academic learning in both practical day to day work, in a cross-cultural, diverse and flexible work environment.
• Apply analytic tools in different areas of the work that they will be involved in.
  

Responsibilities

• Coordinates requirements and provides support to TR team on Phantom Stock Option (PSO) regular reporting and annual nomination process, Salary Review Planning and Budget Annual Planning process, and Global Mgt. Incentive (MIP) process.
• Rewards projects ie. Career architecture, International Mobility (IM) set-up, particularly on data simulations and modelling, project monitoring, coordination with different stakeholders and external partners, as needed.
• Conducting research studies related to rewards – policies, programs, trends, market data, rewards practices.
• Preparation of various compensation-related analysis for different countries and in different regions.
  

Qualifications

• Preferably students from Bachelor & Master courses specializing in Economics, Engineering, Finance, Data Analytics, Market Research, Human Resources.
• Priority will be given to those who can commit internship for at least for 6 months period.
• Good inclination on finance, market research and data analytics.
• Has knowledge on using MS Office, Advance Excel, Power BI, and an advantage to have knowledge and skills in Python, and other data analytics tool.
• Strong analytical skills, astute and meticulous.
• Good inter-personal and communication skills.
• Can work well under pressure
• Numbers-driven and analytical, keen attention to details, able to manage large sets of data.