Cross-Domain Employee Skill Profiles

This dataset merges traditional HR employee records with social media profile data to create a rich, cross-domain view of workforce skills and professional influence. It enables organizations to analyze talent distribution, identify skill gaps, and leverage external professional signals for strategic workforce planning and recruitment.

  • last updated 5 Sept 2025
  • by GoMask
The brief that made it

Talent mapping and workforce skill gap analysis

Sample rows

preview · 8 of 200 rows · all 22 columns
employee_idstringeducation_levelstringyears_experiencefloatlocation_countrystringfirst_namestringlast_namestringemailstringdepartmentstringjob_titlestringhire_datedatelocation_citystringlocation_statestringmanager_idstringskills_primarystringskills_secondarystringcertificationsstringgithub_urlstringtwitter_handlestringsocial_influence_scorefloatlast_profile_updatedatetimeactive_statusbooleanlinkedin_urlstring
E001Bachelor6.2USAOliviaChenolivia.chen@acme.comEngineeringSoftware Engineer2017-08-24San FranciscoCAE035Python, Java, Problem SolvingDocker, KubernetesAWS Certified Developerhttps://github.com/oliviachen@olivia_codes74.12024-04-19T15:27:00truehttps://linkedin.com/in/oliviachen
E002Bachelor5.1USAMiguelSantosmiguel.santos@acme.comSalesAccount Executive2019-03-12MiamiFLE040Negotiation, Communication, CRMSpanish, Lead GenerationSalesforce Certifiedblank@msantossales45.72024-03-25T10:13:00truehttps://linkedin.com/in/miguelsantos
E003Master7.8USAPriyaSharmapriya.sharma@acme.comProductProduct Manager2020-11-02AustinTXE045Roadmapping, Stakeholder Management, AgileWireframing, KanbanPMPblank@priyapm59.32024-02-17T09:44:00truehttps://linkedin.com/in/priyasharma
E004Bachelor8.9USAJamesO'Connorjames.oconnor@acme.comFinanceFinancial Analyst2016-06-18ChicagoILE046Excel, Data Analysis, ForecastingPower BI, SQLCFA Level 2blank@jamesfinance31.62024-05-01T16:02:00truehttps://linkedin.com/in/jamesoconnor
E005Bachelor4.7CanadaSamanthaLeesamantha.lee@acme.comHuman ResourcesHR Generalist2018-09-05TorontoONE036Recruitment, Onboarding, Employee RelationsPayroll, Benefits AdministrationSHRM-CPblank@samantha_hr36.42024-04-10T11:19:00truehttps://linkedin.com/in/samanthalee
E006Bachelor3.2CanadaAnikaPatelanika.patel@acme.comEngineeringDevOps Engineer2021-02-10VancouverBCE001CI/CD, AWS, Infrastructure as CodeTerraform, MonitoringAWS Certified SysOpshttps://github.com/anikapatel@anikadevops49.82024-05-07T12:31:00truehttps://linkedin.com/in/anikapatel
E007Master2.6USAEricKimeric.kim@acme.comEngineeringData Scientist2022-05-16SeattleWAE001Machine Learning, Python, StatisticsR, SQLTensorFlow Developerhttps://github.com/erickim@eric_datasci63.92024-05-04T09:17:00truehttps://linkedin.com/in/erickim
E008Bachelor5.4UKFatimaAl-Farsifatima.alfarsi@acme.comMarketingContent Strategist2020-04-28LondonblankE019Content Creation, SEO, CampaignsCopywriting, Social MediaHubSpot Content Marketingblank@fatimamktg412024-04-11T14:05:00truehttps://linkedin.com/in/fatimaalfarsi

What the 200 rows show

from the 200-row sample

Master (education level) stands out: mean years_experience is 10.8, against 5.8 for the rest.

  • 6.3median years_experience
  • 14departments
  • 44.3median social_influence_score
Mean years_experience by education_level200 rows
010204.2Associate16 rows5.7Bachelor116 rows10.8Master60 rows10.3PhD8 rows
years_experience200 rows, in bands of 2.5
025502450453119121252012.522.5years_experience →

Median 6.3, from 0.80 to 21.7.

location_country200 rows · top 10 of 35 values
  1. USA48
  2. UK18
  3. Canada16
  4. Germany12
  5. Australia9
  6. UAE9
  7. Spain8
  8. Portugal7
  9. Russia6
  10. Ireland5
22 columns by typefrom the column list below
  • string 17
  • float 2
  • date 1
  • datetime 1
  • boolean 1

Columns

22 columns in four groups
blueprint · 22 columns
columntypedescriptionexample
Text 17 columns
employee_idstringUnique identifier for each employeeuniqueE001
first_namestringEmployee's first nameOlivia
last_namestringEmployee's last nameChen
emailstringEmployee's work email addressuniqueolivia.chen@acme.com
departmentstringDepartment or business unit where the employee worksEngineering
job_titlestringEmployee's official job titleSoftware Engineer
location_citystringCity of the employee's primary work locationoptionalSan Francisco
location_statestringState or province of the employee's primary work locationoptionalCA
location_countrystringCountry of the employee's primary work locationoptionalUSA
manager_idstringUnique identifier of the employee's manageroptionalE035
skills_primarystringComma-separated list of employee's primary skills (e.g., 'Python, Data Analysis, Leadership')React, JavaScript, CSS
skills_secondarystringComma-separated list of employee's secondary or emerging skillsoptionalDocker, Kubernetes
certificationsstringComma-separated list of professional certifications held by the employeeoptionalAWS Certified Developer
education_levelstringHighest level of education attained (e.g., 'Bachelor', 'Master', 'PhD')6 values · optionalBachelor
linkedin_urlstringURL of the employee's LinkedIn profileoptionalhttps://linkedin.com/in/o…
github_urlstringURL of the employee's GitHub profile (if applicable)optionalhttps://github.com/lchen
twitter_handlestringEmployee's Twitter handle (if applicable)optional@olivia_codes
Numbers 2 columns
years_experiencefloatTotal years of professional experience0 or more · optional6.2
social_influence_scorefloatAggregated score representing employee's professional social media influence (e.g., based on followers, engagement)0 or more · optional74.1
Dates and times 2 columns
hire_datedateDate the employee was hired2017-08-24
last_profile_updatedatetimeTimestamp of the last update to the employee's skill profile2024-04-19T15:27:00
True or false 1 column
active_statusbooleanIndicates if the employee is currently active in the organizationtrue

Use it for

  • median years e…6.3200 rowsmean years experience…4.2Asso…5.7Bach…10.8Mast…10.3PhD

    A human resources dashboard

    Years_experience by education_level and a breakdown of location_country. Excel, Power BI or Tableau.

  • Why do the 60 Master rows have a mean years_experience of 10.8?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable employees with first_name, last_name and email to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 22 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows22 columns
Yours1,000 rows22 columnslocation_city: UK only

blueprint · cross-domain-employee-skill-profiles

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 22 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
  • Merge HR records with public profiles
  • Include skill endorsements
  • Flag recent upskilling activity
  • Segment by department and project
Rows
Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
cross-domain-employee-skill-profiles

More in Human Resources

Browse all
Also in Human ResourcesEmployee RecordsVolunteer Engagement Metrics DatasetAsync Team Productivity ScorecardsAll 1,966 datasets

What should your data show?

Preview 20 rows free
No signup. No card.