METHODOLOGY
METHODOLOGY This report was developed by CompTIA using employer job posting data aggregated by Burning Glass Technologies Labour Insights (https://www.burning-glass.com). Burning Glass aggregates employer job posting data across a range of sources to produce the best possible depiction of hiring activity. As with any data source, however, there are limitations. Employer job posting data is a useful, but an imperfect proxy for job demand. Not every posting translates to a new job; hiring employers may change their plans, post multiple times for the same job, hire internally, try different approaches to find the right candidate and so forth. Also, one ad may be posted for multiple openings. Burning Glass data methodologies address many of these potential issues, but there will inevitably some margin of error. Additionally, within a time period, there may be situations where a worker is hired, the person is not the right fit and is let go, and a firm starts the process over again. In the aggregate there is single position, but using job posting data, it may appear there are 2 positions. CompTIA recommends using job posting data in conjunction with government labour market statistics and other data sources where available to get a more complete picture of workforce dynamics for a given occupation category. Occupation categories are standardised for consistency and to enable comparisons across markets. The tradeoff is slightly less granularity, especially in certain newer job roles. For example, this data set does not have dedicated categories for cybersecurity, cloud, data scientist, or artificial intelligence. Rather, these positions are combined under broader occupation categories. Location data maps to the European Union’s regional taxonomy. The Nomenclature of territorial units for statistics, abbreviated NUTS (from the French version Nomenclature des Unités territoriales statistiques) is a geographical nomenclature subdividing the economic territory of the European Union (EU) into regions at three different levels (NUTS 1, 2 and 3 respectively, moving from larger to smaller territorial units). Above NUTS 1, there is the 'national' level of the Member States. See the European Union’s Eurostat site for more detail. To make the data most accessible to readers, CompTIA lists the major city or metro area within the region; and in some cases the accompanying region in parenthesis as noted above. The data does not fully represent the city or metro area, but generally, cities and metro areas have the highest concentration of workers in a region and therefore can reasonably serve as a proxy for the location’s hiring trends. As noted in the footnote associated with the salary data, the information presented in this report should be used for directional guidance only. Most job postings do not include salary details. The data presented is a relatively small subset of overall hiring activity. The final negotiated salary may differ from the advertised salary and the addition of bonuses or other forms of compensation may increase annual earnings. Advanced-level positions are more likely to omit salary details, resulting in a skewing of the data downward.
Please contact the CompTIA Research and Market Intelligence Department at research@comptia.org with any questions.
Copyright ©2021 CompTIA, Inc. | CompTIA.org | Q2 2021 release | Page 19
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