Do these datasets contain real employee data?

No. Every name, salary and date is synthetic, so you can use them in dashboards, courses and demos without any privacy risk.

Which HR dataset is best for an attrition analysis?

Start with the Employee Attrition Prediction dataset. It has tenure, satisfaction, hours, promotions and salary alongside a termination date.

Can I get an HR dataset with my own columns?

Yes. Describe it in GoMask Data Factory, for example "500 employees where engineers who haven't been promoted in 3 years leave twice as often", and preview 20 rows free.

Datasets by industry

HR and Employee Datasets

People analytics without anyone's personal data. These synthetic HR datasets cover the whole employee lifecycle, from recruiting to exit, with realistic departments, salaries, tenure and reporting lines. Use them for an HR dashboard in Power BI or Excel, an attrition model, or a people analytics course.

Employee records and attrition

Core employee tables with departments, job titles, managers, hire and termination dates, salary and status, plus attrition datasets with satisfaction, hours worked, promotions and exit reasons.

Human Resources26 cols · 202 rows

Employee Records

This dataset provides a comprehensive view of employee records, including personal information, job roles, departmental assignments, salary details, employment history, and performance metrics. It is designed to support workforce management, HR analytics, and organizational planning, making it ideal for data-driven decision-making in human resources.

first_name	last_name	job_title
Isabella	Martinez	Lead Software Engineer
Aditya	Singh	Financial Analyst
Sophie	Durand	Marketing Director

employee_iddate_of_birthemail+20 more

Human Resources26 cols · 200 rows

Employee Attrition Prediction Dataset

This dataset provides detailed HR records for employees, including demographics, job history, satisfaction, performance, and attrition status. It is ideal for building predictive models to identify turnover risks, analyze workforce trends, and inform retention strategies. Rich features enable advanced analytics for HR decision-making and organizational planning.

first_name	last_name	marital_status
Riya	Patel	Married
Carlos	Dominguez	Single
Aisha	Okafor	Widowed

employee_idgenderdate_of_birth+20 more

Human Resources29 cols · 200 rows

Enterprise Employee Attrition Events

This dataset provides comprehensive records of enterprise employee attrition events, detailing voluntary and involuntary exits with contextual information such as tenure, performance, exit reasons, and retention actions. It is ideal for modeling attrition trends, analyzing workforce turnover, and developing targeted retention strategies to improve organizational stability.

first_name	last_name	job_title
Olivia	Chen	Software Developer
Lucas	Smith	Senior Accountant
Priya	Kumar	Intern

event_idemployee_idgender+23 more

Human Resources20 cols · 200 rows

Employee Exit Interview Insights

This dataset provides detailed, structured exit interview records, including employee demographics, reasons for departure, satisfaction ratings, and open-ended feedback. It enables HR teams to analyze turnover trends, identify retention risks, and inform company culture improvements, making it highly valuable for predictive modeling and strategic workforce planning.

employee_name	position_title	interviewer_name
Melissa Carson	Senior Accountant	Ava Williams
Samuel Ortiz	Software Engineer	James Allen
Christina Lane	Recruitment Specialist	Ava Williams

exit_interview_idemployee_iddepartment+14 more

Performance, promotion and training

Review scores by competency and leadership, promotion readiness with succession flags, and training participation with completion scores and certifications.

Human Resources17 cols · 110 rows

Employee Performance Review Ratings

This dataset provides detailed, standardized employee performance review records, including department, job level, review periods, reviewer information, and multiple scoring dimensions. It enables organizations to analyze workforce performance, identify development needs, and support data-driven promotion and talent management decisions across departments and job levels.

employee_name	department	reviewer_name
Carlos Mendoza	Engineering	Julia Müller
Amina El-Sayed	Marketing	David Song
Zhihao Lin	IT	Elena Petrova

review_idemployee_idjob_level+11 more

Human Resources17 cols · 200 rows

Employee Promotion Eligibility Signals

This dataset provides a detailed view of employee promotion eligibility signals, including performance scores, tenure, training completion, and succession planning status. Designed for HR analytics, it enables organizations to identify high-potential employees, optimize promotion decisions, and support strategic workforce planning.

first_name	last_name	job_title
Emily	Watson	Senior Financial Analyst
Carlos	Nguyen	Lead Software Engineer
Monica	Lee	HR Business Partner

employee_iddepartmentmanager_id+11 more

Human Resources20 cols · 90 rows

Employee Training Participation Dataset

This dataset provides a detailed record of employee participation in company-sponsored training sessions, including attendance, completion status, feedback, and certification outcomes. It enables organizations to monitor compliance, identify skill gaps, and optimize training programs for workforce development. The dataset supports granular analysis of training effectiveness and employee engagement.

employee_first_name	employee_last_name	job_title
Sophia	Nguyen	Financial Analyst
Michael	Williams	Systems Engineer
Priya	Rao	Marketing Specialist

employee_idemployee_emaildepartment+14 more

Recruiting, diversity, scheduling and leave

Candidates moving through a recruiting pipeline by stage and source, workforce diversity metrics, retail shift schedules with labour cost, and leave balances by type.

Human Resources21 cols · 200 rows

Diversity Recruiting Pipeline Metrics

This dataset provides granular tracking of candidate progression through diversity-focused recruitment stages, including job requisition details, diversity attributes, and stage outcomes. It empowers HR leaders to analyze hiring equity, identify pipeline bottlenecks, and benchmark diversity recruiting performance across roles and departments.

full_name	job_title	department
Miguel Alvarez	Data Analyst	Analytics
Priya Nair	Finance Intern	Finance
Jonathan Lee	Software Engineer	Engineering

candidate_idemailphone_number+15 more

Human Resources21 cols · 80 rows

Workforce Diversity Metrics

This dataset provides comprehensive, employee-level workforce diversity metrics, including demographic details, job roles, participation in inclusion programs, and career progression indicators. It enables HR teams to monitor representation, identify diversity gaps, and evaluate the effectiveness of targeted initiatives across departments and locations. The dataset supports compliance reporting, strategic planning, and in-depth diversity and inclusion analytics.

first_name	last_name	disability_status
Aisha	Patel	no
Derek	Johnson	no
Maria	Santos	no

employee_iddate_of_birthgender+15 more

Human Resources22 cols · 200 rows

Retail Workforce Shift Optimization

This dataset provides comprehensive records of retail staff shifts, availability, and labor costs across multiple store locations. It enables detailed analysis and optimization of workforce scheduling, helping retailers reduce labor costs, improve coverage, and ensure compliance with employee availability. The dataset is ideal for workforce analytics, scheduling automation, and operational efficiency improvements.

employee_name	store_name	shift_status
Maria Bennett	SuperMart Downtown	scheduled
Jeffrey Wang	SuperMart East	completed
Olivia Patel	SuperMart North	scheduled

shift_idemployee_idrole+16 more

Human Resources12 cols · 62 rows

Employee Leave Balance Ledger

This dataset provides a detailed, period-based ledger of employee leave accruals, usage, and balances across multiple leave types and departments. It supports compliance monitoring, resource planning, and trend analysis for HR teams, offering granular visibility into workforce availability and leave patterns.

employee_name	leave_type	status
Maria Chen	annual	active
David Singh	sick	active
Sarah Albright	annual	active

employee_iddepartmentperiod_start_date+6 more

Every dataset in this collection

12 datasets