Senior Projects Administrator/Specialist

The Role

Performance Objectives:

Technical

• Acquire and develop a working knowledge of UK pension schemes, their benefit structures and the data and calculations involved in operating them
• Assist in projects associated with analysing data quality, identifying data issues and proposing solutions
• To be able to undertake a data analysis and produce initial result 

Excellence

• In conjunction with the Team Leader, ensure that all delivery promises and performance standards are achieved
• Adhere to standard processes, procedures and documentation for due diligence exercises
• Be a point of reference on technical issues and non-standard cases
• Monitor own workflow to ensure service levels are achieved

People

Maintain and develop further knowledge of pension schemes within the team

Clients

• Provide an efficient, professional service to meet all client/scheme member needs and to promote the WTW brand
• Identify areas where the service to clients /members could be improved and communicate findings to the Team Leader
• In conjunction with the Team Leader, demonstrate commitment by ensuring that personal targets and deadlines are met

Financial

• Ensure that targets and deadlines are met for submission of expenses and time-sheets
• Work with Team Leader to improve operational efficiency and reduce costs e.g. automation, full use of standard products

The Requirements

• Pass or above for Maths and English assessment, plus demonstrable work experience in systems/analysis or a relevant degree discipline
• Prepared to pursue intensive training in order to gain UK pensions legislative knowledge both current and historic.
• Strong attention to detail and able to work to a high level of accuracy.
• Proven and demonstrable problem solving and analytical skills.
• Interpersonal skills to include excellent written and verbal communication.
• Good time management skills and the ability to organise and prioritise own workload.
• Computer literate with good IT skills, particularly MS Excel and data analysis.