SkillsLib.ai

Base Pay Analysis for Compensation Professionals

Analyze compensation data, benchmark roles, and build equitable pay strategies

3.7(6 reviews)
100+ downloads
Updated Sep 2026

What You Can Do

You can analyze salary market data to identify competitive benchmarks, create defensible pay bands based on job leveling, and evaluate pay equity across your organization. The skill processes compensation data, generates data-driven insights, and produces documentation you can use for strategic planning and board presentations. You'll get regression models, pay gap analysis, and actionable recommendations backed by market research.

Features

Market benchmarking analysis

Compare your internal salary data against industry benchmarks to identify competitive positioning and market rate gaps.

Pay band creation

Generate defensible pay ranges for each level or job family based on market data, internal equity, and organizational strategy.

Pay equity audits

Identify statistically significant pay gaps across gender, race, tenure, and other dimensions with documentation for compliance.

Job leveling and benchmarking

Match internal roles to market compensation standards using job description analysis and market data correlation.

Compensation strategy recommendations

Generate data-driven suggestions for pay structure improvements, promotion equity, and budget allocation.

Board-ready reporting

Export findings in executive-grade formats with visualizations, trend analysis, and risk assessments for leadership presentations.

Regression modeling

Identify factors driving pay differences and quantify the impact of job level, tenure, performance, and other variables.

What-if scenario modeling

Simulate impact of proposed pay adjustments on total comp spend, equity metrics, and retention risk.

Example Output

Market Benchmarking Report

  • Senior Software Engineer (your 75th percentile): $185K vs market 75th: $182K (inline)
  • Product Manager (your 50th percentile): $142K vs market 50th: $165K (lagging by 13%)
  • Recommendations: Raise PM band by $18K to remain competitive

Pay Equity Audit Summary

  • Gender wage gap: Women earn 94% of men's salary for same role/level (p < 0.05)
  • Recommended action: Review 12 female employees in affected levels; budget $85K for corrections
  • Tenure analysis: 3-year wage growth is 12% company-wide; highest in Engineering (16%), lowest in Sales (8%)

Recommended Pay Bands (Engineering Track)

  • L3 Software Engineer: $140K–$165K (10th–75th percentile)
  • L4 Senior Engineer: $175K–$225K (50th–90th percentile)
  • L5 Staff Engineer: $240K–$310K (75th–95th percentile)

What's Included

  • Market data analysis template: Structured workflow to load, validate, and compare your salary data against market benchmarks.
  • Pay equity audit framework: Regression models and statistical tests to identify pay gaps and quantify significance with interpretation guidance.
  • Pay band calculator: Formulas to generate competitive pay ranges based on market percentiles, job level, and organizational philosophy.
  • Compensation recommendation engine: Decision trees and financial models to prioritize pay corrections and budget allocation fairly.
  • Executive summary generator: Templates for board-ready reports, risk summaries, and compliance documentation.
  • Data quality checks: Validation rules to flag outliers, missing fields, and potential errors before analysis.

Who It's For

  • Compensation analyst
  • Head of total rewards
  • Chief people officer
  • HR business partner
  • Finance business partner managing HR spend

Best For

  • Annual salary review cycles and merit planning
  • Market pay studies for competitive positioning
  • Pay equity compliance audits and remediation
  • New role pricing and level definitions
  • Compensation strategy development and board presentations

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