Total Reward Analyst
Total Reward Analyst

Total Reward Analyst

Full-Time 28800 - 48000 Β£ / year (est.) No home office possible
Go Premium
Hays

At a Glance

  • Tasks: Join our HR team to design and manage Total Rewards frameworks and analyse compensation strategies.
  • Company: Be part of a dynamic company focused on innovative HR solutions and employee satisfaction.
  • Benefits: Enjoy flexible working options, competitive pay, and opportunities for professional growth.
  • Other info: This role offers exposure to global initiatives across various regions.
  • Why this job: Make a real impact on compensation strategies while collaborating with a supportive team.
  • Qualifications: Ideal candidates should have strong data management skills and a passion for HR.

The predicted salary is between 28800 - 48000 Β£ per year.

Are you passionate about designing and managing Total Rewards frameworks? Do you excel in data management and reporting? We are looking for a talented individual to join our HR team and make a significant impact on our compensation strategies.

Key Responsibilities:

  • Compensation Analysis: Collaborate on the design, review, and management of the Total Rewards Framework, including job catalogs, compensation structures, and incentive programs. Conduct ad-hoc analysis and generate reports to assess current rewards programs, trends, and best practices. Prepare and submit compensation surveys and related studies.
  • Data Management and Reporting: Collect data from various sources, including our HR System (Workday), to design dashboards and reports that enable the HR community to monitor and analyze trends in people data.
  • Collaboration and Support: Work with HR Business Partners (HRPBs) to continuously improve Total Rewards communication. Participate in the preparation of the global annual compensation review process, including data validation and Workday Advanced Comp configuration and testing. Partner with the HRIS team to create and maintain compensation data in Workday, including job profiles, salary ranges, bonus plans, and allowances. Assist with cross-regional Total Rewards initiatives (Americas, APAC, EMEA).

If you are interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays

Contact Detail:

Hays Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Total Reward Analyst

✨Tip Number 1

Familiarise yourself with Total Rewards frameworks and compensation strategies. Understanding the latest trends and best practices in this area will help you engage in meaningful conversations during interviews.

✨Tip Number 2

Brush up on your data management skills, especially with tools like Workday. Being able to demonstrate your proficiency in data analysis and reporting will set you apart from other candidates.

✨Tip Number 3

Network with professionals in the HR field, particularly those who specialise in Total Rewards. This can provide you with insights into the role and may even lead to referrals.

✨Tip Number 4

Prepare to discuss your experience with collaboration and support in HR settings. Highlighting your ability to work with HR Business Partners and cross-regional teams will show that you're a team player.

We think you need these skills to ace Total Reward Analyst

Data Management
Compensation Analysis
Reporting Skills
HRIS Knowledge (Workday)
Analytical Skills
Attention to Detail
Collaboration Skills
Communication Skills
Project Management
Understanding of Total Rewards Frameworks
Survey Preparation and Analysis
Trend Analysis
Problem-Solving Skills
Adaptability

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights relevant experience in Total Rewards frameworks, data management, and reporting. Use keywords from the job description to demonstrate your fit for the role.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for Total Rewards and your analytical skills. Mention specific examples of how you've contributed to compensation strategies or data analysis in previous roles.

Highlight Collaboration Skills: Since the role involves working with HR Business Partners and cross-regional initiatives, emphasise your teamwork and communication skills. Provide examples of successful collaborations in your past experiences.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects attention to detail, which is crucial for a role focused on data management and reporting.

How to prepare for a job interview at Hays

✨Understand the Total Rewards Framework

Make sure you have a solid grasp of what a Total Rewards Framework entails. Familiarise yourself with compensation structures, job catalogs, and incentive programmes. Being able to discuss these concepts confidently will show your passion and expertise in the field.

✨Showcase Your Data Management Skills

Since this role involves data management and reporting, be prepared to discuss your experience with data analysis tools and systems, particularly Workday. Highlight any specific projects where you've successfully managed data and generated insightful reports.

✨Prepare for Collaboration Questions

Collaboration is key in this role, so expect questions about how you've worked with HR Business Partners or other teams in the past. Think of examples that demonstrate your ability to communicate effectively and support cross-functional initiatives.

✨Stay Updated on Industry Trends

Research current trends and best practices in Total Rewards. Being knowledgeable about the latest developments will not only impress your interviewers but also show that you're proactive and committed to continuous improvement in the field.

Total Reward Analyst
Hays
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>