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For Companies At a Glance
- Tasks: Join our team to analyse data and build client relationships while managing compensation surveys.
- Company: WTW is a global leader in compensation, benefits, and employment practices information.
- Benefits: Enjoy hybrid working options, flexibility, and a culture that values diversity and inclusion.
- Why this job: Make a real impact on fair pay decisions while collaborating with diverse teams across the globe.
- Qualifications: Strong organisational skills, client management experience, and proficiency in data analysis are essential.
- Other info: We embrace all types of diversity and offer support throughout the application process.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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 across six continents, our data centres in 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. Our portfolio of products and customised services helps organizations 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
Are you someone who enjoys working with data but also loves building real connections with people?
At WTW, we’re looking for a Analyst to join our Survey & Analytics team in the Rewards Data Intelligence (RDI) practice — someone who’s excited to make an impact by helping clients make informed, fair, and competitive pay decisions .
In this role, you’ll be the go-to for several of our UK-based clients, managing compensation survey relationships, analyzing trends, and delivering insights that truly matter. You’ll collaborate across borders — particularly with our teams in Europe — and contribute to evolving our offerings in sectors like Energy, Retail, Construction, and Manufacturing.
No two days are the same. One day you might be supporting an industry lead with survey data analysis; the next, helping clients navigate pay equity, job evaluation, or bespoke benchmarking projects. We’re looking for someone who thrives in a collaborative environment, enjoys working with both numbers and people, and is curious to keep learning.
If you want a role where you can blend technical expertise with client connection — and contribute to meaningful decisions that shape fair pay — then we’d love to connect.
Performance objectives are:
Client
- Managing clients, addressing queries, responding to ad-hoc questions, and supporting tools for assigned client portfolio.
- Conducting and facilitating client presentations and forums.
- Promoting Data Purchasing Plans, as well as selling and delivering client projects.
- Collaborating with consultants/colleagues and the survey production team to successfully deliver surveys and projects, ensuring client expectations are met or exceeded by developing project plans and activity schedules, supporting job matching, conducting pay assessments and compensation reviews, and managing project correspondence and meeting documentation.
Financial
- Providing new and existing clients with survey pricing proposals
- Support the revenue growth of allocated industry surveys
- Support ad-hoc projects via client base
People
- Build strong relationships externally and internally and collaborate effectively on cross-functional teams
- Demonstrate natural ease and effectiveness when dealing with clients/colleagues at all levels
- Work closely with Customer Services teams for end-to-end account management
Excellence
- Continuously develop technical and consulting skills (e.g. selling and project management skills)
- Ensure survey project files are up-to-date and meet Excellence standards
- Assisting survey product team with project management, data validations and survey reviews
At WTW, we trust you to know your work and the people, tools and environment you need to be successful. The majority of our colleagues work in a ”hybrid” style, with a mix of remote, in-person and in office interactions dependent on the needs of the team, role and clients. Our flexibility is rooted in trust and “hybrid” is not a one-size-fits-all solution. We understand flexibility is key to supporting an inclusive and diverse workforce and so we encourage requests for all types of flexible working as well as location-based arrangements. Please speak to your recruiter to discuss more.
Qualifications
The Requirements
- Good organisational skills; planning and organising work efficiently, handling multi projects and priorities
- To be self-sufficient and manage own workload, asking for support as required and a good team player.
- Strong client relationship management skills with a dedication to quality and customer service.
- A desire to build an understanding of compensation and benefits issues and the broader HR environment
- Excellent written and oral communication skills – comfortable communicating with senior managers
- Experience in data management (perhaps gained through the management of an HR system or pay review process) or be numerate with good data analysis and interpretation skills.
- Will have a good working experience with MS Excel, Word and PowerPoint and possibly have some experience working with databases or statistical software
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.
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 .
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Analyst Rewards Data Intelligence employer: WTW
Contact Detail:
WTW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst Rewards Data Intelligence
✨Tip Number 1
Familiarise yourself with the latest trends in compensation and benefits. Understanding current market practices will not only help you in interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the HR and data analytics sectors. Attend industry events or webinars to connect with potential colleagues and learn more about the role and its challenges.
✨Tip Number 3
Brush up on your data analysis skills, particularly with tools like MS Excel. Being able to showcase your analytical capabilities during discussions can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience in managing client relationships. Think of specific examples where you've successfully navigated client needs, as this is crucial for the Analyst role.
We think you need these skills to ace Analyst Rewards Data Intelligence
Some tips for your application 🫡
Understand the Role: Before applying, take time to thoroughly understand the Analyst Rewards Data Intelligence role. Familiarise yourself with the responsibilities and qualifications mentioned in the job description to tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise any experience you have in data management, client relationship management, or HR practices. Use specific examples to demonstrate how your skills align with the requirements of the position.
Showcase Communication Skills: Since excellent written and oral communication skills are crucial for this role, ensure that your application is well-structured and free of errors. Consider including a brief example of a successful client interaction or presentation you've conducted.
Express Your Enthusiasm: Convey your passion for working with data and building client relationships in your cover letter. Mention your eagerness to contribute to meaningful decisions that shape fair pay, as this aligns with the company's values and mission.
How to prepare for a job interview at WTW
✨Showcase Your Data Skills
As an Analyst in Rewards Data Intelligence, you'll be working with data daily. Be prepared to discuss your experience with data management and analysis, particularly using tools like MS Excel. Highlight specific projects where you've successfully interpreted data to drive decisions.
✨Demonstrate Client Relationship Management
This role requires strong client relationship skills. Prepare examples of how you've built and maintained relationships with clients or colleagues in previous roles. Emphasise your dedication to quality service and how you’ve addressed client queries effectively.
✨Communicate Clearly and Confidently
Excellent communication is key for this position. Practice articulating your thoughts clearly, especially when discussing complex data insights. Be ready to explain how you would present findings to clients or stakeholders, ensuring they understand the implications of the data.
✨Emphasise Your Collaborative Spirit
Collaboration is crucial in this role, so be prepared to discuss your experience working in teams. Share examples of how you've contributed to cross-functional projects and how you handle differing opinions or challenges within a team setting.
