At a Glance
- Tasks: Analyse reward data and support pay decisions with insights and reports.
- Company: Join a collaborative and innovative team at Arch Europe Insurance Services Ltd.
- Benefits: Competitive salary, career growth, and opportunities for professional development.
- Why this job: Make an impact by enabling fair and consistent reward practices.
- Qualifications: 1-3 years in analytics or rewards; strong Excel skills required.
- Other info: Dynamic environment with a focus on problem-solving and teamwork.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Reward Analyst role at ARCH EUROPE INSURANCE SERVICES LTD. 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 employer: ARCH EUROPE INSURANCE SERVICES LTD
Contact Detail:
ARCH EUROPE INSURANCE SERVICES LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reward Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and role thoroughly. Understand their values and how they align with your skills. This will help you tailor your answers and show them you're genuinely interested.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online resources to get comfortable with common questions. The more you practice, the more confident you'll feel when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you can set up job alerts to stay updated on new opportunities that match your interests.
We think you need these skills to ace Reward Analyst
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 reporting. We want to see how your background aligns with what we do at ARCH!
Showcase Your Skills: Don’t forget to showcase your Excel skills and any experience with data visualisation tools like Power BI. If you've worked with large datasets, let us know! We love seeing those skills in action.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're interested in the role and how you can contribute to our mission of enabling possibility. Keep it engaging and personal – we want to get to know you!
Apply Through Our Website: Make sure to apply through our website for the best chance of being noticed. It’s super easy, and we’ll be able to track your application better. Plus, you’ll be joining our talent community, which is a win-win!
How to prepare for a job interview at ARCH EUROPE INSURANCE SERVICES LTD
✨Know Your Numbers
As a Reward Analyst, you'll be dealing with data all the time. Brush up on your Excel skills, especially pivot tables and VLOOKUPs. Be ready to discuss how you've used these tools in past roles to analyse data and support pay decisions.
✨Showcase Your Analytical Mindset
Prepare examples of how you've tackled complex datasets or solved analytical problems in previous jobs. Think about specific instances where your insights led to better decision-making or improved processes. This will demonstrate your problem-solving skills and logical approach.
✨Understand Market Trends
Familiarise yourself with current market trends in compensation and benefits. Be prepared to discuss how you would approach market benchmarking and what sources you would consider for gathering relevant data. Showing that you’re proactive about staying informed will impress the interviewers.
✨Communicate Clearly
You’ll need to explain your findings to non-technical audiences, so practice articulating complex data insights in simple terms. Consider preparing a brief presentation or summary of a past project where you had to communicate your analysis effectively.