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Shift4
Compensation Analyst
atĀ Shift4
about 6 hours ago | 6 views | Be the first one to apply

Compensation Analyst

Full-time
United States, North America

About the company

Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry. For more information, visit www.shift4.com.

Job Summary

Responsibilities:

šŸ“Analyze market data and internal salary data to ensure competitive and equitable compensation practices šŸ“Participate in and manage compensation surveys to benchmark roles across geographies and job families šŸ“Evaluate new and existing job descriptions, determining appropriate job levels and salary ranges šŸ“Support the annual compensation planning process, including merit increases, promotions, and bonus planning šŸ“Assist in developing salary structures and pay bands for various countries or business units šŸ“Provide compensation analysis and modeling to support offers, promotions, and other pay decisions šŸ“Partner with HRBPs and Talent Acquisition on compensation guidance for internal and external offers šŸ“Monitor regulatory changes and compliance requirements (e.g., pay transparency laws, FLSA, EU pay directives). šŸ“Support compensation communication and training materials for leaders and employees šŸ“Assist in building compensation dashboards, tools, and models to support reporting and decision-making šŸ“Contribute to global and regional compensation projects, including system implementations and process improvements

Requirements:

šŸ“3-5 years of experience in compensation, HR analytics, or a related discipline šŸ“Strong analytical and Excel skills; experience with data modeling and compensation tools (e.g., Radford, Workday, Mercer) is a plus šŸ“Familiarity with job evaluation methodologies (e.g., leveling guides, career frameworks) šŸ“Ability to interpret compensation data and present insights clearly šŸ“Strong attention to detail and a high level of accuracy in data analysis šŸ“Excellent communication and collaboration skills

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