Reward/compensation Survey Consultant

2 settimane fa

Roma, Lazio, Italia WTW A tempo pieno

As Rewards, Data and Intelligence (RDI) Analyst, you will have the opportunity to understand the latest Compensation and Benefits trends both at Country and Regional level, as well as partnering with clients to work on broader rewards related projects, providing survey and remuneration consulting support to clients and supporting the team in their development.


The Company

The Business


The Willis Towers Watson Rewards, Data and Intelligence Practice is a leading provider of compensation, benefits and employment practices information to the global employer community.


Covering more than 115 countries across six continents, our data centers in the North America, Europe, Middle East and Africa, Asia Pacific and Latin America annually compile reports on the remuneration, benefits and employment practices of local and multinational companies.


The Role


The purpose of the role is to support our Rewards, Data and Intelligence business covering areas such as data analytics, data mining, survey support, sales, marketing, and client management.

The role is responsible in supporting the production of the suite of Willis Towers Watson compensation and benefits surveys in Italy.


Work is primarily focused on data Analytics, data mining, project managing the data collection, validation, and support for Italy surveys.

The role will involve successfully managing and supporting clients through the participation process across all sector surveys. Custom Data Analytics support will also be required.


The data from the Willis Towers Watson surveys supports the work conducted by leading Rewards Consultants who are delivering a range of solutions to clients including salary structure development, incentive scheme design and benefits reviews.


Responsibilities will include:

  • 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, utilising 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

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.
  • Firsthand 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 coordinate 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 organisations.
  • Good practical experience with MS Excel, Word and PowerPoint and experience with Access or working with other databases or statistical software.
  • Bachelor or Master Degree in a numerate discipline.

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