SAMPLE Glassdoor Data | Raw Salary Submissions & Company Ratings | Enriched Glassdoor Data for ...

Salary data is everywhere, but most of it is wrong. Survey-based averages miss the real picture, and raw job postings only show pay 30-40% of the time. Our Glassdoor Data delivers raw, structured salary submissions from actual employees, not averaged summaries from a black-box aggregation.

This Glassdoor Data covers individual salary records, company ratings, CEO approval scores, and review metrics across thousands of US companies. Because we provide individual data points instead of pre-aggregated figures, you can segment, filter, and model the data exactly as your analysis requires.

What This Glassdoor Data Covers

This Glassdoor Data is sourced directly from Glassdoor. Every record includes:

• Company name and job title
• Location and years of experience
• Total pay, base pay, and additional pay
• Submission count and scrape timestamp
• CEO approval rating and company overall rating
• Review counts by rating category
• Source URL
This Glassdoor Data covers the United States, with a growing historical archive continuously expanding from 2022 to the present.

What You Can Do With This Glassdoor Data

Compensation Benchmarking

HR and compensation teams use Glassdoor Data to benchmark pay for specific roles, seniority levels, and geographies against real-world employee submissions. Because Glassdoor Data gives you individual records instead of aggregated averages, you can build salary bands at exactly the granularity your models require.

• Benchmark compensation for specific roles and seniority levels using Glassdoor Data salary submissions
• Compare base pay, additional pay, and total compensation across geographies with Glassdoor Data
• Analyze pay equity by segmenting Glassdoor Data records by years of experience and location
• Set competitive salary bands by modeling Glassdoor Data submissions rather than relying on survey averages
• Identify compensation gaps by comparing Glassdoor Data records to your internal pay structure
HR Analytics

People analytics teams use Glassdoor Data to track compensation trends, monitor employer sentiment, and benchmark internal pay against external market data. Glassdoor Data with individual submission records gives HR teams the input needed to build accurate dashboards, identify pay outliers, and inform compensation strategy.

• Track compensation trends over time using Glassdoor Data historical salary submissions
• Monitor company ratings and CEO approval trends as employee sentiment signals with Glassdoor Data
• Benchmark internal compensation against external Glassdoor Data records by role and region
• Identify pay compression and equity issues by segmenting Glassdoor Data by seniority and location
• Power People Analytics dashboards with Glassdoor Data compensation and sentiment signals
Due Diligence and Investment Analysis

Investors and deal teams use Glassdoor Data as an early signal of company health. Employee sentiment and compensation trends visible in Glassdoor Data often shift 30-60 days before changes appear in financial reports. PE, VC, and hedge fund teams use this Glassdoor Data to assess acquisition targets and monitor portfolio companies before problems surface in earnings.

• Assess target company culture and employee satisfaction through Glassdoor Data ratings and reviews
• Track CEO approval and company rating trends in Glassdoor Data as leading indicators of leadership stability
• Verify compensation structures against market rates using Glassdoor Data salary records
• Monitor portfolio company Glassdoor Data signals for early warning of talent or morale deterioration
• Use Glassdoor Data sentiment trends as alternative data for investment thesis validation
Company and Employer Analysis

Strategy and research teams use Glassdoor Data to compare employer brands across a competitive set, track how employee perception shifts during key corporate events, and benchmark executive pay against industry peers. Glassdoor Data gives you the raw signals behind headline ratings.

• Compare company ratings, CEO approval, and pay scales across a competitive peer group using Glassdoor Data
• Track sentiment shifts during leadership changes, mergers, or restructuring events with Glassdoor Data
• Benchmark executive compensation against industry peers using Glassdoor Data pay submissions
• Identify companies with strong or deteriorating employer brands by analyzing Glassdoor Data ratings over time
Financial Modeling and FP&A

Finance and FP&A teams use Glassdoor Data salary submissions to model compensation costs, forecast headcount spend, and build data-driven budget scenarios. Glassdoor Data gives finance teams real salary benchmarks tied to actual role, location, and seniority inputs.

• Model compensation costs by role and location using Glassdoor Data salary submissions
• Forecast headcount spend with Glassdoor Data pay benchmarks as inputs to financial models
• Validate internal compensation assumptions against external Glassdoor Data records
• Build scenario models for geographic expansion using Glassdoor Data by location and role
How We Build This Glassdoor Data

The salary estimation model uses Glassdoor Data salary submissions as a core training input alongside 50M+ observations from job postings. It applies company-level compensation patterns, geographic cost-of-living adjustments, role seniority, and industry norms to predict pay for postings without explicit salary. The model achieves a Mean Absolute Percentage Error under 15%, making Glassdoor Data a foundation for salary intelligence across all Canaria products.

The title taxonomy model normalizes Glassdoor Data job titles into 50,000+ standardized categories from 20M+ raw titles, making Glassdoor Data comparable across companies, industries, and geographies.

Our annotation team validates every Glassdoor Data model output before delivery.

What Makes This Glassdoor Data Different

• Raw, unaggregated records: Glassdoor Data gives you individual salary submissions, not pre-averaged summaries you can't unpack
• Matchable: Glassdoor Data is designed to join directly with job postings and LinkedIn company profile datasets
• Full pay breakdown: Glassdoor Data includes total pay, base pay, and additional pay per submission
• Sentiment signals: Glassdoor Data CEO approval ratings and company scores serve as leading indicators for analysts and investors
• Standardized titles: Glassdoor Data job titles are normalized to 50,000+ categories for cross-company and cross-industry comparison
• Historical depth: Glassdoor Data is a growing archive continuously expanding across thousands of US companies
Who Uses This Glassdoor Data

• HR and Compensation Teams use Glassdoor Data to benchmark salaries, set competitive pay bands, and identify compensation gaps across roles and regions
• People Analytics Teams use Glassdoor Data to track employer sentiment trends and build internal pay equity models
• Investors, PE Firms, and VC Funds use Glassdoor Data as alternative data for due diligence, portfolio monitoring, and early company health signals
• Finance and FP&A Teams use Glassdoor Data salary submissions to model compensation costs and forecast headcount spend
• Compensation Consultants use Glassdoor Data to advise clients on market rates and competitive pay positioning
• Market Research and BI Teams use Glassdoor Data to analyze employer branding trends and compensation patterns across industries
• HR Tech Companies and B2B Platforms use Glassdoor Data to power compensation benchmarking tools, salary estimators, and employer intelligence products
Delivery and Format

Glassdoor Data is delivered in CSV, JSON, or Parquet via AWS S3 or Google Cloud Storage. Custom filters by geography, company, date range, job title, and seniority. Compatible with Snowflake, Databricks, Power BI, Tableau, Salesforce, and most BI platforms.

搜集汇总

背景与挑战

背景概述

该数据集提供来自Glassdoor的原始薪资记录、公司评级和员工评价数据，覆盖美国多家公司，支持按具体角色、地理位置和资历级别进行细分分析。数据集适用于薪酬基准测试、人力资源分析和投资研究等多种场景，提供未聚合的个体数据点以便灵活建模。