Senior Finance Compensation Analyst

LHH; Jacksonville (FL); On-site; USD 95,000 - 145,000; Full time

Job summary

LHH, in Jacksonville, seeks a Senior Financial Compensation Analyst to join its Finance team. Seek an analytical professional with FP&A, Finance, or Compensation Analytics background who excels at transforming data into business insights using NetSuite, Excel, and Power BI.

The role emphasizes developing compensation models, analyzing labor costs, automating reporting, and supporting strategic decision-making in a fully onsite environment with strong growth and benefits.

Qualifications

• A Bachelor's degree in Finance, Accounting, Economics, Analytics, or related field.
• 5+ years in FP&A, Financial Analysis, Compensation Analysis, or Workforce Analytics.
• Advanced NetSuite, Excel (Power Query, Pivot Tables), and Power BI skills.
• Experience with budgeting, forecasting, reporting, and data visualization.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Develop and maintain compensation, bonus, incentive, and workforce planning models.
• Analyze compensation trends, labor costs, and headcount metrics to support business decisions.
• Partner with Finance and HR leaders on budgeting, forecasting, and compensation planning.
• Prepare monthly, quarterly, and annual compensation and workforce analytics reporting.
• Build and maintain Power BI dashboards to provide visibility into compensation, labor costs, and organizational performance.
• Extract, validate, and analyze large datasets from NetSuite and other business systems.
• Perform variance analysis against budget, forecast, and prior year results.
• Evaluate compensation programs and provide recommendations based on market and internal data.
• Automate reporting processes and improve data integrity across Finance and HR functions.
• Present analysis and insights to senior leadership to support strategic decision-making.

Skills

FP&A

Financial Analysis

Compensation Analysis

Workforce Analytics

Education

Bachelor's degree in Finance

Tools

NetSuite

Excel

Power BI

Job description

We are partnering with a growing Jacksonville-based company seeking a Senior Financial Compensation Analyst to join its Finance team. This role is ideal for a highly analytical professional with a background in FP&A, Finance, or Compensation Analytics who excels at transforming data into business insights. Leveraging NetSuite, advanced Excel, and Power BI, you'll develop compensation models, analyze labor and incentive costs, automate reporting, and support strategic decision-making.

This is a fully onsite opportunity offering strong career growth, exposure to M&A activity, competitive compensation, and an excellent benefits package.

Key Responsibilities

• Develop and maintain compensation, bonus, incentive, and workforce planning models.
• Analyze compensation trends, labor costs, and headcount metrics to support business decisions.
• Partner with Finance and HR leaders on budgeting, forecasting, and compensation planning.
• Prepare monthly, quarterly, and annual compensation and workforce analytics reporting.
• Build and maintain Power BI dashboards to provide visibility into compensation, labor costs, and organizational performance.
• Extract, validate, and analyze large datasets from NetSuite and other business systems.
• Perform variance analysis against budget, forecast, and prior year results.
• Evaluate compensation programs and provide recommendations based on market and internal data.
• Automate reporting processes and improve data integrity across Finance and HR functions.
• Present analysis and insights to senior leadership to support strategic decision-making.

Qualifications

• Bachelor's degree in Finance, Accounting, Economics, Analytics, or a related field.
• 5+ years of experience in FP&A, Financial Analysis, Compensation Analysis, or Workforce Analytics.
• Advanced proficiency in NetSuite, Excel (financial modeling, Power Query, Pivot Tables), and Power BI.
• Strong experience with budgeting, forecasting, reporting, and data visualization.
• Exceptional analytical, problem-solving, and communication skills.