The global power industry experienced a 19% rise in new job postings related to mobile in Q3 2022 compared with the previous quarter, according to GlobalData’s Jobs Analytics. This compares to a 19% increase in the previous quarter and a 51% increase versus Q3 2021.

Notably, Software and Web Developers, Programmers, and Testers jobs accounted for an 8% share of the global power industry’s mobile-related total new job postings in Q3 2022, up 23% over the prior quarter.







	

               
   

Software and Web Developers, Programmers, and Testers drive mobile-related hiring activity

Software and Web Developers, Programmers, and Testers, with a share of 8%, emerged as the top mobile-related job roles within the power industry in Q3 2022, with new job postings rising by 23% quarter-on-quarter. Computer and Information Analysts came in second with a share of 6% in Q3 2022, with new job postings rising by 555% over the previous quarter.

The other prominent mobile roles include Computer and Information Systems Managers with a 4% share in Q3 2022, Automotive Technicians and Repairers with a 3% share of new job postings.

Top five companies in power industry accounted for 219% of hiring activity

The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Engie , Siemens , Hitachi Zosen Inova and Sunrun . Together they accounted for a combined share of 219% of all mobile-related active jobs in the power industry.

Engie posted 963 mobile-related new jobs in Q3 2022, Siemens 481 jobs, Hitachi Zosen Inova 334 jobs, and Sunrun 274 jobs, according to GlobalData’s Job Analytics.

Hiring activity was driven by the US with a 48% share of total active job postings, Q3 2022

The largest share of mobile-related new job postings in the power industry in Q3 2022 was in the US with 48% followed by France (15%) and Germany (7%). The share represented by the US was -18% lower than the 65% share it accounted for in Q2 2022.

GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData’s Jobs Analytics uses machine learning to uncover key insights from tracking daily job postings for thousands of companies globally. Proprietary analysis is used to group jobs into key thematic areas and granular sectors across the world’s largest industries. classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.