Senior Pensions Data Specialist - Hybrid & High-Impact Data

Willis Towers Watson; Greater London; Hybrid; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Private healthcare

Life insurance

Hybrid working

Volunteer day

Share scheme

Cycle-to-work

Dental and optical cover

Critical illness protection

Pension matched up to 10%

Job summary

Willis Towers Watson is seeking a Senior Pensions Data Specialist to join our pensions data solutions team. You will deliver data services to clients, including data audits, GMP rectifications, and data cleansing, while developing bulk tools and solutions and coordinating with team members.

The role emphasizes strong numerical and analytical skills, with experience in pension data processing, software tools, and clear communication of complex issues to a broad audience.

Qualifications

• Proven track record delivering projects to deadlines.
• Strong knowledge of UK DB Pension schemes, data audits, cleansing and rectifications.
• Understanding of manual benefit calculations and processes.
• Experience creating solutions to correct data or perform pension calculations.
• Excellent Excel and Office skills.

Responsibilities

• Deliver data services to clients, including data audits and rectifications.
• Create and customise bulk tools and solutions; lead and review work.
• Communicate technical issues clearly to non-technical audiences.
• Assist in developing data strategies and plans for clients.
• Collaborate in a hybrid work environment, maintaining flexibility.

Skills

Pension data management

Data auditing

Project management

Excel proficiency

Client communication

Software tooling

Mentoring juniors

Analytical thinking

Strategic thinking

Team collaboration

Education

UK DB Pension knowledge

Tools

Bulk tool development

Pension rectification software

Job description

Willis Towers Watson is seeking a Senior Pensions Data Specialist to join our pensions data solutions team. You will deliver data services to clients, including data audits, GMP rectifications, and data cleansing, while developing bulk tools and solutions and coordinating with team members.

The role emphasizes strong numerical and analytical skills, with experience in pension data processing, software tools, and clear communication of complex issues to a broad audience.