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- Tasks: Analyse reward data and support pay decisions with insightful reports and dashboards.
- Company: Join a collaborative company that inspires progress and innovation.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by enabling fair and consistent reward practices.
- Qualifications: 1-3 years in analytics or rewards, strong Excel skills, and a passion for data.
- Other info: Dynamic environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibilityâ„ .
Reward Data and Analysis
- Maintain accurate and up-to-date reward data across internal systems and data sources.
- Gather, clean, and analyze large datasets to support reward and pay decisions.
- Produce regular reports and dashboards on pay, benefits, and workforce trends.
- Support data modelling for salary reviews, bonus calculations, and pay progression.
- Provide data insights and recommendations to support fair and consistent reward practices.
Market Benchmarking
- Own the external market benchmarking exercises and manage participation in appropriate survey data (e.g. Willis Towers Watson, Radford McLagan) for Arch locations outside North America.
- Maintain market awareness and recommend additional surveys and/or new sources as appropriate.
- Help maintain internal pay structures, job levelling, and grading frameworks.
- Support HR requests for market benchmarking.
- Track market trends and support analysis on competitiveness of pay and benefits.
Benefits And Recognition
- Support benefits analysis and data collection as appropriate including survey participation and analysis of employee elections and participation.
Reporting and Governance
- Support production of accurate, timely management information for senior stakeholders.
- Help prepare statutory reports such as gender pay gap and other pay transparency requirements.
- Maintain documentation and ensure data accuracy and compliance with GDPR and internal standards.
Skills And Experience
- 1–3 years' experience in an analytical or reward-related role (e.g. data analyst, compensation or benefits analyst).
- Strong Excel skills (pivot tables, VLOOKUP, formulas, charts); experience with Power BI or other data visualization tools a plus.
- VBA or Python a plus.
- Confident working with large, complex datasets.
- Excellent attention to detail, data accuracy, and organization.
- Strong numerical and problem-solving skills with a clear, logical approach.
- Effective communication skills — able to explain insights clearly to non-technical audiences.
- Interest in building a career within Compensation, and Benefits Analytics.
Qualifications
- Degree in Data Analytics, Business, Economics, Finance, Math, or a related discipline (or equivalent experience).
- Formal training in data analytics, Power BI, or advanced Excel an advantage.
Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.
Reward Analyst in London employer: Arch Insurance (UK) Limited
Contact Detail:
Arch Insurance (UK) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reward Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. We can’t stress enough how personal connections can give you the inside scoop on job openings and company culture.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to reward analysis. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your analytical skills.
✨Tip Number 3
Show off your data skills! Bring examples of your work with large datasets or reports to the interview. We love seeing how you’ve used Excel or Power BI to solve problems and make decisions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to enable possibility in their careers.
We think you need these skills to ace Reward Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Reward Analyst role. Highlight your analytical skills and any experience with data management or market benchmarking. We want to see how your background aligns with our mission to enable possibility!
Showcase Your Skills: Don’t forget to showcase your Excel prowess! Mention specific tools like pivot tables and VLOOKUP, and if you’ve dabbled in Power BI or Python, let us know. We love seeing candidates who are confident with large datasets.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about compensation and benefits analytics. Share examples of how you've solved complex problems in the past – we’re all about collaboration and innovation!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be part of our journey to inspire progress and help others achieve their goals. Let’s make possibilities happen together!
How to prepare for a job interview at Arch Insurance (UK) Limited
✨Know Your Numbers
As a Reward Analyst, you'll be dealing with large datasets and complex analyses. Brush up on your Excel skills, especially pivot tables and VLOOKUPs, so you can confidently discuss how you've used these tools in past roles. Be ready to share specific examples of how your analytical skills have led to actionable insights.
✨Market Awareness is Key
Familiarise yourself with current market trends in compensation and benefits. Research the latest surveys and benchmarking data from sources like Willis Towers Watson or Radford McLagan. This will not only show your interest in the role but also demonstrate your proactive approach to understanding the industry landscape.
✨Communicate Clearly
You’ll need to explain complex data insights to non-technical audiences. Practice articulating your findings in simple terms. Consider preparing a few examples where you successfully communicated data-driven recommendations in previous roles, highlighting your effective communication skills.
✨Show Your Passion for Analytics
Express your enthusiasm for a career in Compensation and Benefits Analytics. Share what excites you about the field and how you stay updated with new tools and techniques. This will help convey your commitment to the role and the value you can bring to the team.
