Europe was the fastest growing region for big data hiring among auto industry companies in the three months ending September.
The number of jobs in Europe accounted for 17% of total big data jobs, up from 11.9% in the same quarter last year.
Next is Asia Pacific, which saw a -0.5 percentage point year-on-year change in big data roles.
The numbers are compiled by GlobalData, which tracks the number of new job postings from key companies in various industries over time. Using textual analysis, these vacancies are then categorized by topic.
GlobalData’s thematic approach to industry activity seeks to aggregate key business information by topic to see which companies are best positioned to deal with disruptions that arise in their industries.
These key themes, which include big data, are chosen to cover “any issue that prevents a CEO from sleeping at night”.
By following them through job openings, it allows us to see which companies are leading the way on specific issues and which are dragging their feet – and most importantly where the market is growing and contracting.
Which countries are experiencing the fastest growth for big data roles in the automotive industry?
The fastest growing country was France, which saw 1% of all big data job openings in the three months ending June of last year, rising to 5.3% in during the three months ending in September of this year.
Next come India (up 2.6 percentage points), Mexico (up 1.1) and Sweden (up 0.8).
The top country for big data roles in the auto industry is the United States, which recorded 60.7% of all roles in the three months ending September.
What are the most important cities for big data workers in the automotive industry?
Some 6.9 percent of all big data roles in the auto industry were announced in Warren (US) in the three months ending September – more than in any other city.
Next come Austin (United States) with 6.9%, Toledo (United States) with 3.8% and Fremont (United States) with 3.1%.
GlobalData’s unique job analysis provides insight into hiring trends, strategies and predictive signals across all industries, themes, companies and geographies. Smart web crawlers capture data from publicly available sources. Key parameters include active, posted and closed jobs, length of posting, experience, seniority level, qualifications and skills.