Senior Compensation Analyst
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Job Description
Senior Compensation Analyst analyzing pay data and programs for Assurant, a global business services company supporting connected purchases and insurance products. Improving compensation through analytics, automation, and AI.
Responsibilities:
- Independently manage recurring compensation programs, processes, analyses, and complex stakeholder requests
- Conduct job evaluations, market pricing, benchmarking, and salary survey activities
- Interpret findings and develop well-supported compensation recommendations
- Evaluate job responsibilities, organizational context, internal compensation relationships, and external market practices
- Analyze compensation trends, salary movement, incentive outcomes, pay equity, and other workforce compensation matters
- Build market-pricing analyses, financial and scenario models, dashboards, recurring and ad hoc reports, and executive-ready presentations
- Support the design, planning, testing, execution, and evaluation of annual compensation programs, including merit, promotion, salary-planning, and incentive processes
- Review compensation requests and transactions, identify exceptions and risks, and recommend solutions
- Translate complex compensation data and technical concepts into practical guidance for People Business Partners, managers, and business leaders
- Perform data-quality reviews, audits, modeling, testing, and reconciliation
- Lead or contribute to compensation projects and continuous-improvement initiatives
- Identify opportunities to improve compensation workflows through automation, AI, digital tools, standardized reporting, and stronger quality controls
- Monitor external market trends, regulatory developments, and evolving compensation practices
- Maintain accurate job descriptions, market matches, compensation records, analytical methodologies, and process documentation
- Share technical knowledge, tools, and effective practices with junior team members
- Collaborate with stakeholders across functions and geographies
Requirements:
- Minimum of 5 years of progressive professional experience in Compensation, Total Rewards, Human Resources, Finance, data analytics, or a related field, including meaningful experience supporting compensation programs and analysis
- Demonstrated experience with market pricing, job evaluation, salary surveys, compensation analysis, and annual compensation processes
- Experience using AI-enabled tools to augment processes, improve data analysis, or enhance stakeholder service
- Advanced Microsoft Excel proficiency, including the ability to analyze, reconcile, model, and clearly present complex datasets
- Strong analytical and problem-solving capabilities
- Ability to translate technical compensation concepts and analytical findings into clear guidance for varied audiences
- Strong project-management and organizational skills
- High attention to detail and commitment to data accuracy, consistency, and quality
- Strong written and verbal communication skills
- Ability to exercise sound judgment, work independently, and escalate issues appropriately
- Ability to handle sensitive employee and compensation information with discretion and confidentiality
- Ability to collaborate effectively across functions, geographies, and organizational levels
- Bachelor’s degree in Human Resources, Business, Finance, Economics, Data Analytics, or a related field, or equivalent relevant experience
- Professional compensation certification or progress toward certification, such as Certified Compensation Professional (CCP)
- Experience supporting global compensation programs or working within a multinational organization
- Experience with Workday or another human resources information system and compensation-planning platform
- Experience with compensation surveys and market-data platforms, job architecture, salary structures, incentive plans, or pay-equity analysis
- Experience developing dashboards, data visualizations, automated reporting, or other technology-enabled compensation solutions
- Demonstrated success partnering with People Business Partners, business leaders, Finance, Legal, or other cross-functional stakeholders
- Employment contingent upon completion of a required identity verification process, which may include biometric technology where permitted by law
Benefits:
- Salary growth within the position
- Virtual interviews conducted on video
- Global and collaborative work environment
- Opportunity to deepen technical expertise and influence compensation decisions
- Opportunity to lead process improvements and advance global Compensation and Total Rewards practices
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