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Principal Compensation Analyst

ZoomInfo Technologies LLC
CompanyZoomInfo Technologies LLC
CategoryHR & Recruiting
LocationRemote
RemoteRemote
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted24 Jun 2026
Last verified31 Jul 2026
SourceEmployer career page (greenhouse)
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Description
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.   The Principal Compensation Analyst is a senior-level individual contributor who serves as a subject matter expert and strategic advisor on all aspects of compensation across ZoomInfo. This role is responsible for the design, development, and execution of broad-based compensation programs — including base pay structures, incentive plans, and equity programs. Operating with a high degree of autonomy, the Principal Compensation Analyst partners cross-functionally with HR Business Partners, Finance, Legal, and senior business leaders to ensure compensation strategies are competitive, equitable, and aligned with ZoomInfo's overall business objectives and compensation strategy.   What You'll Do: Strategic Consulting & Business Partnering Act as a trusted advisor to HR Business Partners and business leaders on compensation matters, including offer recommendations, retention strategies, promotion decisions, and organizational restructuring. Provide expert-level guidance on compensation-related escalations requiring nuanced judgment, regulatory knowledge, and market context. Influence compensation policy and program design decisions at the most senior levels by building compelling, data-driven business cases. Cross-Functional Collaboration Partner with Talent Acquisition to develop competitive offer strategies and provide real-time market guidance to support hiring in a dynamic talent market. Work closely with the HRIS team to ensure compensation data integrity and support system enhancements related to compensation processes. Data Analysis & Reporting Build and maintain advanced analytical models to evaluate compensation program effectiveness, pay equity, and workforce cost implications. Produce executive-level reporting and presentations on compensation insights, trends, and program outcomes for HR leadership Conduct pay equity analyses and develop remediation strategies to ensure equitable pay practices across the organization. Market Analysis & Benchmarking Lead annual and ad hoc compensation benchmarking exercises using surveys (e.g., Radford/Comptryx) to assess ZoomInfo's competitive market position. Conduct ongoing monitoring of market trends, emerging best practices, and competitor pay strategies to proactively recommend program adjustments. Analyze and interpret relevant government regulations (FLSA, pay equity legislation, pay transparency laws) to ensure ongoing compliance and advise stakeholders accordingly. Develop comprehensive market pricing analyses for new roles and re-evaluations of existing positions. Program Administration & Governance Partner with Compensation Program Manager to successfully execute annual compensation cycles, including merit planning, bonus payout calculations, and equity refresh programs.  Develop and maintain compensation tools, calculators, and dashboards that enable consistent, scalable decision-making across the business. Proactively identify process improvement opportunities and lead initiatives to enhance efficiency and accuracy in compensation operations.   What You Bring: Bachelor's degree in Human Resources, Business Administration, Finance, Organizational Development,or a related field. Minimum of 7+ years of progressive experience in compensation, with demonstrated expertise in broad-based compensation, incentive design, and equity programs. Deep analytical proficiency — expert-level Excel/Google Sheets skills; experience with advanced modeling, regression analysis, and large dataset manipulation. Proven experien
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