Sr Associate Rewards Consultant

WTW; Greater London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A global consulting firm in Greater London is looking for a professional to support their Rewards & Data Intelligence Practice. Key responsibilities include providing compensation consulting to clients, managing relationships, and contributing to data analysis projects primarily in the Bio Pharma and Life Sciences industries. Ideal candidates will possess strong organisational skills, a solid understanding of HR practices, and be proficient in Excel. With a focus on client satisfaction, this position offers a range of benefits, including health insurance and hybrid working options.

Benefits

25 days of annual leave

Private healthcare

Life insurance

Pension scheme

Employee assistance programme

Electric vehicle car scheme

Share scheme

Cycle-to-work programme

Qualifications

• Proven ability to plan and manage multiple projects and priorities efficiently.
• Capable of working independently while proactively seeking support.
• Strong relationship-building skills with a commitment to high-quality service.
• Solid understanding of compensation and benefits practices.
• Excellent written and verbal communication skills.
• Experience in handling HR systems or pay review processes.
• Skilled in data analysis with strong attention to detail.

Responsibilities

• Provide survey and compensation consulting support to existing clients.
• Manage client relationships throughout the survey cycle.
• Lead development of the survey and data analytics offering.
• Conduct client presentations and forums.
• Prepare survey pricing proposals for clients.

Skills

Exceptional Organisational Skills

Self-Management & Team Collaboration

Client & Stakeholder Engagement

HR & Compensation Expertise

Effective Communication

Data Management & Analytical Capability

Technical Proficiency

Tools

Microsoft Excel

Microsoft Word

Microsoft PowerPoint

Job description

Description

The WTW Rewards & Data Intelligence Practice is a leading provider of compensation, benefits and employment practices information to the global employer community. Covering more than 100 countries from our data centres across six continents, we annually compile reports on the remuneration, benefits and employment practices of local and multinational companies. Our portfolio of products and customised services helps organisations to:

• Develop cost-effective salary and benefit packages;
• Stay up-to-date with the latest HR developments;
• Ensure compliance with local laws and customs;
• Assess and compare the costs of employment within and across regions.

The Role

• Primarily providing survey and compensation consulting support to existing clients, expanding the products/services used by our clients and growing our client portfolio.
• The role will be working with and driving the growth and profitability of the team by being responsible for:
  • Managing and supporting client relationships, both existing and new clients, throughout the full survey cycle. Helping to drive WTW’s upcoming AI journey of job evaluation and automated job matching to support clients’ ad-hoc needs and their data submission process
  • Helping to lead the development of our survey and data analytics offering to clients primarily within the Bio Pharma and Life Sciences industry
  • Support the industry lead (tracking year-on-year survey participation, data quality and data analysis) on achieving milestones, participation and orders.
  • Manage relationships with Account Managers as well as advisory teams, to support data analysis requirements on projects and provide assistance in data analysis/interpretation.
  • Lead and support the delivery of compensation based project work such as salary structure development, compensation and benefits reviews and conducting pay assessments and bespoke surveys
  • Act as a specialist for producing standard and/or customised analysis based on WTW rewards surveys, interrogating and interpreting data and data availability to evaluate data options for client requirements – across multi sectors
  • Work with the Data & Analytics team to provide clients with market benchmarking on different pay elements (e.g., base pay, bonus), using sources such as survey data and published reports
  • Actively lead and support varying Job Evaluation projects (utilising our proprietary methodology and state-of-the-art AI-enabled technology) and Equal Pay work across the wider RDI team
  • Lead clients in leveraging WTW’s Data Science capabilities to review an organisation’s approach to managing knowledge and skills, using AI-enabled market scans to provide clients with insight around prevalent and emerging skills.
  • Support the wider RDI team in writing proposals, industry trends and utilising our AI-driven insights around talent flow analytics

Performance objectives are:

• Conducting and supporting client presentations & forums
• Account managing survey clients, conducting job benchmarking and supporting their market data requirements

Clients

• Conducting and supporting client presentations & forums
• Account managing survey clients, conducting job benchmarking and supporting their market data requirements
• Promote and sustain Data Purchasing Plans while delivering data-driven projects and identifying opportunities to broaden service offerings.
• Drive revenue growth by converting prospects and targets into active clients.
• Collaborate with consultants, colleagues, and the survey production team to ensure successful delivery of surveys and projects. This includes developing project plans and schedules, supporting job matching, conducting pay assessments and compensation reviews, and managing all related correspondence and documentation.
• Prepare survey pricing proposals for clients and prospects.
• Support revenue growth across assigned industry sectors and surveys.
• Contribute to overall revenue and consulting targets for Rewards Data Intelligence.
• Build strong internal and external relationships, collaborating effectively across teams.
• Engage confidently with clients and colleagues at all levels.
• Partner closely with Customer Services for seamless account management.
• Continuously build technical and consulting capabilities, including sales and project management.
• Maintain up-to-date survey files aligned with quality standards/excellence protocols
• Support the survey product team with project coordination, data validation, and review activities.

Financial

• Prepare survey pricing proposals for clients and prospects.
• Support revenue growth across assigned industry sectors and surveys.
• Contribute to overall revenue and consulting targets for Rewards Data Intelligence

People

• Build strong internal and external relationships, collaborating effectively across teams.
• Engage confidently with clients and colleagues at all levels.
• Partner closely with Customer Services for seamless account management.

Excellence

• Continuously build technical and consulting capabilities, including sales and project management.
• Maintain up-to-date survey files aligned with quality standards/excellence protocols
• Support the survey product team with project coordination, data validation, and review activities.

Qualifications

The Requirements

• Exceptional Organisational Skills: Proven ability to plan and manage multiple projects and priorities efficiently. Ability to use own initiative and see tasks through to completion while working under pressure to meet deadlines
• Self-Management & Team Collaboration: Capable of working independently while proactively seeking support when needed. A reliable and collaborative team player.
• Client & Stakeholder Engagement: Strong relationship-building skills with a commitment to delivering high-quality service and customer satisfaction.
• HR & Compensation Expertise: Solid understanding of compensation and benefits, along with broader HR practices and frameworks.
• Effective Communication: Excellent written and verbal communication skills, with confidence in engaging senior stakeholders.
• Data Management & Analytical Capability: Experience in handling HR systems or pay review processes, or through survey/compensation consulting. Comfortable working with data, with strong analytical and interpretation skills.
• Technical Proficiency: Skilled in Microsoft Excel, Word, and PowerPoint. Familiarity with databases or statistical software is a plus. Numerate with strong data analysis and interpretation skills, with proven attention to detail and accuracy.

At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.

Enjoy a benefits package designed to help you thrive, both professionally and personally. You’ll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company.

We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.

We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email [e-mail].