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- Tasks: Analyse reward data and provide insights to support fair pay practices.
- Company: Join a collaborative company that inspires progress and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by helping others achieve their potential through data analysis.
- Qualifications: 1-3 years in an analytical role; strong Excel skills required.
- Other info: Dynamic environment with a focus on career development in Compensation and Benefits Analytics.
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. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert!
Reward Analyst in London employer: Arch
Contact Detail:
Arch 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 people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with your skills as a Reward Analyst. This will help you stand out and show you're genuinely interested.
✨Tip Number 3
Practice your data storytelling! Be ready to explain your analytical insights clearly and concisely. Use examples from your past experience to demonstrate how you've tackled complex datasets and made impactful decisions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Reward Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your analytical skills, especially with Excel and data visualisation tools, as these are key for the Reward Analyst role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analytics and how you can contribute to our mission of enabling possibility. Share specific examples of your past work that align with the responsibilities outlined in the job description.
Showcase Your Attention to Detail: Since this role requires a keen eye for detail, make sure your application is free from typos and errors. A well-organised application will demonstrate your commitment to accuracy and professionalism.
Apply Through Our Website: We encourage you to apply directly through our website. This way, you’ll ensure your application reaches us promptly and you’ll have access to any additional resources we provide for applicants.
How to prepare for a job interview at Arch
✨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 relevant to the role. This will not only show your interest 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.
✨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 growth and innovation, aligning with the company’s culture.
