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[10564] - HR Reward Analyst/Administrator

HR Reward Analyst/Administrator

Salary: £30,000 – £35,000 per annum

Based in South West London Permanent/Full time role

We are currently recruiting for a fantastic role as a Data Analyst/Administrator working within the Rewards department. We are looking for super excel user to join a leading global retailer with beautiful, modern offices based in South West London. In this role you will be responsible for coordinating and administering the core processes that support the delivery of our reward services.

Person Specification: –

  • Great attention to detail and able to effectively balance speed and accuracy;
  • Comfortable using systems and handling data; confident Excel user;
  • Strong and proactive co-ordination skills;
  • You  enjoy and are confident in multi-tasking on a daily-basis
  • Open and approachable with good communication skills (verbal and written) and a willingness to investigate and develop new communication channels and tools;
  • Strong team player

Key responsibilities: –

  • Own and manage all employee data within our online database; act as system expert /administrator (No previous reward program experience required)
  • Employee Benefits Portal – Ongoing validation and maintenance of platform content, as well as data exchanges and supplier payments; act as first line support on all queries
  • UK Payroll – Manage compilation of all individual monthly data changes and validate all proposed payments
  • Bonus Program – Coordinate and administer all activities linked to our bonus program, PACE, including production of individual bonus account statements
  • Pay Review – Support all process steps connected with the annual pay review activity including the production of executive summary reports and individual pay review correspondence
  • Salary Surveys – Compile and complete all data submissions to designated salary and benefit surveys, individual market analysis and external research to gain insights into external market perceptions, trends and best practice

Tagged as: data analyst

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