Human Resources
26 columns
202 rows
8 formats

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.

opened 13 times
last updated 29 Oct 2025
by GoMask

The brief that made it

Workforce analytics and reporting

Sample rows

preview · 8 of 202 rows · all 26 columns

employee_idstring	employment_statusstring	performance_scorefloat	training_completedboolean	performance_ratingstring	first_namestring	last_namestring	date_of_birthdate	emailstring	phone_numberstring	address_streetstring	address_citystring	address_statestring	address_postal_codestring	address_countrystring	departmentstring	job_titlestring	manager_idstring	hire_datedate	salaryfloat	salary_currencystring	employment_history_companystring	employment_history_job_titlestring	employment_history_start_datedate	employment_history_end_datedate	last_promotion_datedate
A1X7H2	Active	94.3	true	Outstanding	Isabella	Martinez	1988-06-19	isabella.martinez@acme.com	+1-213-555-0197	1022 Oakwood Ave	Los Angeles	CA	90015	USA	Engineering	Lead Software Engineer	blank	2016-05-02	145000	USD	Innotech	Senior Developer	2012-04-01	2016-04-15	2021-11-13
B3T6K9	Active	89.2	true	Exceeds Expectations	Aditya	Singh	1992-02-15	aditya.singh@acme.com	+91-98765-32109	204 Crescent Road	Mumbai	MH	400001	India	Finance	Financial Analyst	G7J2F1	2019-07-10	680000	INR	Moneywise	Junior Analyst	2017-06-01	2019-06-30	2022-03-25
C8F2E3	Active	91.8	true	Outstanding	Sophie	Durand	1981-10-03	sophie.durand@acme.com	+33-1-45-67-8912	77 Boulevard Voltaire	Paris	blank	75011	France	Marketing	Marketing Director	blank	2012-09-17	97000	EUR	Brandix	Marketing Manager	2008-05-01	2012-08-10	2017-05-06
D9W5U8	Retired	blank	false	blank	Michael	Johnson	1962-11-24	m.johnson@acme.com	+1-312-555-0148	501 N State Street	Chicago	IL	60654	USA	Operations	Operations Manager	blank	2006-01-12	0	USD	Logix	Senior Operations Analyst	1998-03-01	2005-12-31	2012-06-01
E7G4C5	Active	92.5	true	Outstanding	Maria	Gonzalez	1976-05-04	maria.gonzalez@acme.com	+34-91-555-6543	11 Calle Mayor	Madrid	blank	28013	Spain	Sales	Sales Director	blank	2010-03-08	128000	EUR	Vendico	Sales Manager	2006-01-01	2010-02-15	2018-02-10
F6L2V7	Active	85.7	true	Exceeds Expectations	David	Evans	1989-08-22	d.evans@acme.com	+44-20-7946-0812	25 Fleet Street	London	blank	EC4Y 1AA	UK	Legal	Legal Counsel	Q4E8N2	2020-01-15	73000	GBP	LawCorp	Junior Counsel	2018-01-01	2019-12-31	blank
G7J2F1	Active	76.8	true	Meets Expectations	Chen	Wang	1997-12-05	chen.wang@acme.com	+86-21-5555-1122	88 Huaihai Road	Shanghai	blank	200031	China	Engineering	Junior Developer	A1X7H2	2022-02-01	98000	CNY	TechNova	Intern	2021-07-01	2022-01-15	blank
H5U9M4	Active	80.1	true	Exceeds Expectations	Nia	Mwangi	1990-03-12	nia.mwangi@acme.com	+254-20-555-2233	14 Kenyatta Ave	Nairobi	blank	00100	Kenya	Operations	Operations Specialist	D9W5U8	2021-06-14	1200000	KES	Africorp	Logistics Coordinator	2018-03-01	2021-05-30	blank
I2K4P6	Retired	blank	false	blank	Anna	Petrov	1972-07-07	anna.petrov@acme.com	+7-495-555-1107	41 Prospekt Mira	Moscow	blank	129110	Russia	Legal	Legal Consultant	blank	2015-02-09	0	RUB	RusLaw	Legal Specialist	2010-04-01	2015-01-15	2017-12-01
J5M8D3	Active	86.5	true	Exceeds Expectations	Emma	Wilson	1986-12-15	emma.wilson@acme.com	+61-2-5555-1108	32 George St	Sydney	blank	2000	Australia	Marketing	Marketing Executive	C8F2E3	2018-09-05	81000	AUD	PromoPlus	Marketing Coordinator	2015-03-01	2018-08-15	2021-01-30
K1S7Q4	Active	90.1	true	Outstanding	Liam	O'Brien	1978-03-29	liam.obrien@acme.com	+353-1-555-1234	19 O'Connell St	Dublin	blank	D01F5P2	Ireland	Finance	Finance Manager	blank	2013-05-11	97000	EUR	Greenbank	Financial Analyst	2007-01-01	2013-04-30	2016-02-20
L6Q3H8	Active	73.7	true	Meets Expectations	Elena	Grigore	1994-02-16	e.grigore@acme.com	+40-21-555-1098	16 Strada Lipscani	Bucharest	blank	030167	Romania	Other	Research Coordinator	K1S7Q4	2020-10-01	51000	EUR	BioLab	Research Assistant	2017-03-01	2020-09-15	blank
M8P4V1	Active	81.5	true	Exceeds Expectations	Jorge	Ramirez	1983-04-18	jorge.ramirez@acme.com	+52-55-5555-1110	210 Avenida Reforma	Mexico City	blank	06600	Mexico	Sales	Sales Executive	E7G4C5	2022-03-10	530000	MXN	Comercio	Sales Coordinator	2019-05-01	2022-02-28	blank
N2V9J5	Active	93.2	true	Outstanding	Fatima	Al Mansouri	1980-09-05	f.almansouri@acme.com	+971-4-555-1010	2 Sheikh Zayed Road	Dubai	blank	00000	UAE	HR	HR Director	blank	2009-03-20	320000	AED	EmirCorp	HR Manager	2003-01-01	2009-02-28	2015-10-11
O7S5T3	Active	79.2	true	Meets Expectations	Oliver	Müller	1990-07-20	oliver.muller@acme.com	+49-30-555-1099	101 Friedrichstrasse	Berlin	blank	10117	Germany	IT	System Analyst	V6C2B9	2021-01-15	67000	EUR	SoftServe	IT Support	2018-04-01	2020-12-31	blank
P4D6B8	Retired	blank	false	blank	Julia	Kowalska	1968-11-25	j.kowalska@acme.com	+48-22-555-1104	15 Marszałkowska	Warsaw	blank	00-626	Poland	Finance	Finance Consultant	blank	2017-10-01	0	EUR	EuroFin	Finance Specialist	2011-03-01	2017-09-15	2015-06-10
Q4E8N2	Active	88.6	true	Exceeds Expectations	Ahmed	Khalil	1984-05-09	ahmed.khalil@acme.com	+20-2-555-1101	22 Tahrir Square	Cairo	blank	11511	Egypt	Legal	Legal Manager	blank	2017-04-20	205000	EUR	LawHub	Legal Advisor	2013-05-01	2017-03-30	2021-09-14
R8Z3B2	Active	83.2	true	Meets Expectations	Lucas	Silva	1996-09-30	lucas.silva@acme.com	+55-11-5555-1098	45 Avenida Paulista	São Paulo	blank	01311-000	Brazil	Engineering	Software Engineer	A1X7H2	2021-07-19	96000	BRL	TechBrasil	Junior Developer	2019-01-01	2021-06-30	blank
S2B7L6	Active	87.4	true	Exceeds Expectations	Grace	Kim	1980-01-22	grace.kim@acme.com	+82-2-555-1102	12 Teheran-ro	Seoul	blank	06130	South Korea	HR	HR Manager	blank	2012-11-01	99000000	KRW	PeoplePlus	HR Specialist	2008-02-01	2012-10-15	2016-06-15
T6F9M1	Active	78.5	true	Meets Expectations	William	Smith	1995-04-13	w.smith@acme.com	+1-646-555-0199	300 Park Ave	New York	NY	10022	USA	IT	IT Support Specialist	O7S5T3	2020-03-04	68000	USD	InfoSys	IT Intern	2019-06-01	2020-02-28	blank

What the 202 rows show

from the 202-row sample

Active (employment status) stands out: 149 of its 170 rows have training_completed = true, against 0 of 32 for the rest.

74%training_completed = true
79.2median performance_score
9departments
13salary currencies
30address countries
52address cities

Training completed rate by employment_statustraining_completed = true

performance_score175 rows, in bands of 10

Median 79.2, from 0.0 to 97.2.

performance_rating175 rows with a value · 27 left blank

Meets Expectations88
Outstanding37
Exceeds Expectations36
Needs Improvement12
Unsatisfactory2

26 columns by typefrom the column list below

string 18
float 2
date 5
boolean 1

Columns

26 columns in four groups

blueprint · 26 columns
column	type	description	example
Text 18 columns
`employee_id`	string	Unique identifier for each employeeunique	A1X7H2
`first_name`	string	Employee's first name	Isabella
`last_name`	string	Employee's last name	Martinez
`email`	string	Employee's work email addressunique	aditya.singh@acme.com
`phone_number`	string	Employee's contact phone numberoptional	+1-213-555-0197
`address_street`	string	Employee's residential street addressoptional	1022 Oakwood Ave
`address_city`	string	Employee's city of residenceoptional	Los Angeles
`address_state`	string	Employee's state or province of residenceoptional	CA
`address_postal_code`	string	Employee's postal codeoptional	90015
`address_country`	string	Employee's country of residenceoptional	USA
`department`	string	Department where the employee works9 values	Engineering
`job_title`	string	Employee's current job title	Lead Software Engineer
`manager_id`	string	Employee ID of the direct manageroptional	G7J2F1
`employment_status`	string	Current employment statusActive · On Leave · Terminated · Retired	Active
`salary_currency`	string	Currency code for salary (e.g., USD, EUR)	USD
`employment_history_company`	string	Name of previous employer (most recent)optional	Innotech
`employment_history_job_title`	string	Job title at previous employer (most recent)optional	Senior Developer
`performance_rating`	string	Most recent performance rating category5 values · optional	Outstanding
Numbers 2 columns
`salary`	float	Current annual salary of the employee in local currency0 or more	145000
`performance_score`	float	Most recent performance evaluation score (0-100)0 to 100 · optional	94.3
Dates and times 5 columns
`date_of_birth`	date	Employee's date of birth	1988-06-19
`hire_date`	date	Date when the employee was hired	2016-05-02
`employment_history_start_date`	date	Start date at previous employer (most recent)optional	2012-04-01
`employment_history_end_date`	date	End date at previous employer (most recent)optional	2016-04-15
`last_promotion_date`	date	Date of last promotionoptional	2021-11-13
True or false 1 column
`training_completed`	boolean	Indicates if mandatory training has been completedoptional	true

Use it for

A human resources dashboard
The training_completed rate, performance_score by employment_status and a breakdown of performance_rating. Excel, Power BI or Tableau.
Why do 149 of 202 rows have training_completed = true?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Employees202
A1X7H294.3Active
B3T6K989.2Active
D9W5U8Retired
A software demo
Believable employees with first_name, last_name and date_of_birth to fill a screen in front of a buyer.

This dataset202 rows26 columns

Yours10,000 rows26 columnsaddress_street: UK only

blueprint · employee-records

Behind this dataset

Same schema. As many rows as you need.

These 202 rows came out of a blueprint — 26 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Hire date must be before current date
Salary ranges by department and seniority level
Manager IDs reference other employees in dataset
Department codes from predefined list
Employment status affects benefits eligibility

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: employee-records

What should your data show?

No signup. No card.

Sample rows

What the 202 rows show

Columns

Use it for

A human resources dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Human Resources

What should your data show?