Rewards Survey Consultant in London

Rewards Survey Consultant in London

London Full-Time 37800 - 46200 £ / year (est.) Home office (partial)
Willis Towers Watson

At a Glance

  • Tasks: Support clients with survey and compensation consulting, enhancing their HR strategies.
  • Company: Join WTW, a global leader in compensation and benefits data.
  • Benefits: Enjoy 25 days leave, private healthcare, and hybrid working options.
  • Other info: Collaborative environment with excellent career growth opportunities.
  • Why this job: Make a real impact in the HR field while developing your skills.
  • Qualifications: Strong organisational skills and a passion for data analysis required.

The predicted salary is between 37800 - 46200 £ per year.

Fantastic opportunity to join WTW’s Rewards Data Intelligence Practice as a Rewards Survey Consultant. WTW 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

Primarily providing survey and compensation consulting support to existing and new clients, the role will be assisting the growth and profitability of the team by being responsible for:

  • Managing and supporting client relationships with UK-based participants and prospects throughout the full survey cycle.
  • Assisting in supporting WTW’s upcoming AI journey of automated job matching to support clients’ ad-hoc needs and their data submission process.
  • Supporting the development of our survey and data analytics offering to clients primarily within the Financial Services sector.
  • Acting as analytical support to an industry lead (tracking year-on-year survey participations, data quality and data analysis).
  • Supporting the delivery of compensation-based project work such as salary structure development, compensation and benefits reviews and conducting pay assessments and bespoke surveys.
  • Coordinating 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.
  • Supporting Job Evaluation projects (utilising our proprietary methodology and state-of-the-art AI-enabled technology) and Equal Pay work across the wider RDI team.
  • Supporting 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.
  • Supporting the wider RDI team in writing proposals, industry trends and utilising our AI-driven insights around talent flow analytics.

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. Supporting the revenue growth of allocated industry surveys. Supporting ad-hoc projects via client base.
  • People: Building strong relationships externally and internally and collaborating effectively on cross-functional teams. Demonstrating natural ease and effectiveness when dealing with clients/colleagues at all levels. Working closely with Customer Services teams for end-to-end account management.
  • Excellence: Continuously developing technical and consulting skills (e.g. selling and project management skills). Ensuring survey project files are up-to-date and meet Excellence standards. Assisting survey product team with project management, data validations and survey reviews.

What you'll bring:

  • Good organisational skills; planning and organising work efficiently, handling multiple projects and priorities.
  • To be self-sufficient and manage own workload, asking for support as required and being 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 being numerate with good data analysis and interpretation skills.
  • Good working experience with MS Excel, Word and PowerPoint and possibly some experience working with databases or statistical software.

What we offer:

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.

Equal Opportunity Employer: 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 candidatehelpdesk@wtwco.com.

Rewards Survey Consultant in London employer: Willis Towers Watson

WTW is an exceptional employer that prioritises the professional and personal growth of its employees, offering a comprehensive benefits package that includes generous annual leave, private healthcare, and a robust pension scheme. The collaborative work culture fosters strong relationships across teams, while the opportunity to engage in meaningful projects within the affinity insurance sector allows for impactful contributions to the company's success. With hybrid working options and a commitment to employee wellbeing, WTW stands out as a rewarding place to build a fulfilling career.

Willis Towers Watson

Contact Details:

Willis Towers Watson Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Rewards Survey Consultant in London

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We think you need these skills to ace Rewards Survey Consultant in London

Client Relationship Management
Data Analysis
Project Management
Compensation and Benefits Knowledge
Organisational Skills
Communication Skills
Data Management

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Willis Towers Watson, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Willis Towers Watson

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

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Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Willis Towers Watson’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.