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Skills-OVATE: Skills Online Vacancy Analysis Tool for Europe

Skills-OVATE allows you to display information at national land aggregate level. The system contains UK data and analysis based on research conducted before the United Kingdom’s exit from the European Union on 31 January 2020. The default aggregate refers to the EU Member States (EU27_2020). While it is possible to display aggregates including the UK (EU27_2020+UK) to reflect the situation in the European Union before 31 January 2020, these should not be considered as representative of the situation in the EU thereafter.

The online job advertisements were gathered in last 12 months. Data presented are based on a robust methodology using big data and machine learning techniques. The underlying online job advertisement data are already of high quality, but they need more work to clean and classify them. More analysis and testing are also necessary for Skills-OVATE to provide sound evidence to inform policy making. Please use the findings as indicative. Skills-OVATE’s aims at this stage to show the data’s potential and provide information to help interpret labour market developments.

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Most requested skills

This dashboard helps visualise emphasis employers put on particular skills in occupations. The chart on the left shows skills sorted by their frequency across all online job advertisements. On the right, you can display the 10 most important occupations for selected skills. ESCO includes many skills that may be overlap with others and some listed skill requirements may seem similar. The ESCO team intensively works on skills classification improvements which the Skills-OVATE team will implement as soon as possible.


Selecting a skill will show the ISCO 4-digit occupations that require that skill most often. The number of online job vacancies requiring that skill is shown in the second column and the share of online job vacancies requiring that skill is shown in the third column (you can select more than one skill by holding the CTRL-key).

To undo your selections, click again on skill(s) highlighted.

Most requested skills