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Senior Compensation Analyst

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Onsite

Senior Compensation Analyst

StevenDouglas

Senior Compensation Analyst

Skills

SQL QueriesBig DataPythonData AnalysisFinancial AnalysisPower BI

16 days ago

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Important information


Contract type:

Permanent

Location:

Jacksonville, FL, USA

Work mode:

Onsite

Published on:

9 October 2026

What they need


The ideal candidate will have strong experience in financial analysis, advanced Excel, and working with large data sets. This role offers an opportunity for a sharp Financial Analyst to expand into compensation, gaining valuable experience in financial modeling, incentive compensation, workforce analytics, and cross-functional business partnership. The successful candidate will be highly analytical, detail-oriented, and eager to learn in a fast-paced, growing organization.

Responsibilities

  • Manage monthly compensation processes, including commission and incentive calculations, validation, reconciliation, and reporting
  • Analyze compensation, sales, revenue, and headcount data to identify trends, variances, and business insights
  • Build and maintain financial models, dashboards, and reporting using Excel, SQL, and Power BI
  • Support sales incentive and commission plan modeling, including new hires, terminations, and plan changes
  • Identify opportunities to automate and improve recurring reporting and compensation processes
  • Partner with Finance, HR, Sales, Payroll, and business leaders to resolve issues and support decision-making
  • Maintain accurate documentation and controls around compensation calculations and processes

Qualifications

  • 3+ years of experience in financial analysis, FP&A, compensation, commissions, or a related analytical role
  • Advanced Excel skills, including complex formulas, lookups, and large-dataset manipulation
  • Strong analytical and problem-solving skills with exceptional attention to detail
  • Experience with SQL and Power BI preferred
  • Experience with process automation using Power Query, VBA, Python, or similar tools preferred
  • Bachelor’s degree in Finance, Accounting, Economics, Business, Data Analytics, or related field

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