Rewards Data and Intelligence Analyst

• Support survey submission collection, report review and analysis
• Support survey marketing and sales, researching and prospect client follow ups
• Help in maintaining survey databases, data mining and data analytics
• Provide ad hoc analysis for surveys and trends reports
• Provision of job matching and market benchmarking assistance to clients and independently handling of routine client queries
• Client workshops and focus groups: Participate in such meetings and provide follow up support
• Provision and interpretation of compensation data to clients, utilizing various forms of data
• Provision of project support to team members and practice on projects/assignments by researching, analyzing data, drafting reports and attending meetings with more senior colleagues.
• Building and maintaining client relationships, ensuring expectations are consistently met
• Keep abreast with market knowledge and thought leadership to develop technical depth
  

Qualifications

Requirements

• Passion and/or strong mathematical focus on analytical, data mining and consultancy.
• Work experience in a HR /Rewards role, ideally with survey or research focus that requires data analysis and interpretation skills.
• First-hand experience in compensation data management and/or employee survey operations would be an advantage.
• Will have experience in data management (perhaps gained through the management of an HR system) or experience of survey research (incorporating various stages of a research project), and be numerate with strong data analysis and interpretation skills.
• A team player with excellent project management skills, to be able to co-ordinate several projects at the same time and to work under pressure and meet deadlines.
• Strong client relationship management skills with a dedication to quality and customer service.
• Excellent written and oral communication skills in English – comfortable and credible communicating with senior managers within client organizations.
• Excellent practical experience with MS Excel, Word and PowerPoint is a must.
• Bachelor or Master Degree in a numerate discipline.