Rewards Analyst
Arch Capital Group Ltd.
full-time
Posted on:
Location Type: Hybrid
Location: Raleigh • North Carolina • United States
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Job Level
About the role
- 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
- 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
- Support benefits analysis and data collection as appropriate including survey participation and analysis of employee elections and participation
- 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
Requirements
- 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 but not required; 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
- Degree in Data Analytics, Business, Economics, Finance, Math, or a related discipline (or equivalent experience) preferred
- Formal training in data analytics, Power BI, or advanced Excel an advantage
Benefits
- Multiple medical plans plus dental, vision and prescription drug coverage
- Competitive 401k with generous matching
- PTO beginning at 20 days per year
- Up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer
- Basic Life and AD&D Insurance
- Short and Long-Term Disability
- Paid Parental Leave of up to 10 weeks
- Student Loan Assistance and Tuition Reimbursement
- Backup Child and Elder Care
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisdata modelingdata visualizationExcelPower BIVBAPythonreportingdata cleaningstatistical analysis
Soft Skills
attention to detailorganizational skillsproblem-solvingcommunication skillsanalytical thinkinglogical reasoninginterpersonal skillstime managementcollaborationadaptability