North America is seeing a hiring boom in private banking industry big data roles
North America extended its dominance for big data hiring among private banking industry companies in the three months ending January.
The figures are compiled by GlobalData, who track the number of new job postings from key companies in various sectors over time. Using textual analysis, these job advertisements are then classified thematically.
GlobalData's thematic approach to sector activity seeks to group key company information by topic to see which companies are best placed to weather the disruptions coming to their industries.
These key themes, which include big data, are chosen to cover "any issue that keeps a CEO awake at night".
By tracking them across job advertisements it allows us to see which companies are leading the way on specific issues and which are dragging their heels - and importantly where the market is expanding and contracting.
Which countries are seeing the most growth for big data job ads in the private banking industry?
The fastest growing country was the United States, which saw 40.8% of all big data job adverts in the three months ending January 2021, increasing to 45.9% in the three months ending January this year.
That was followed by Canada (up 0.8 percentage points), Australia (0.4), and the Philippines (0.4).
The top country for big data roles in the private banking industry is the United States which saw 45.9% of all roles advertised in the three months ending January.
Which cities are the biggest hubs for big data workers in the private banking industry?
Some 5.5% of all private banking industry big data roles were advertised in Pune (India) in the three months ending January.
That was followed by Bengaluru (India) with 5.5%, Hyderabad (India) with 3.6%, and Charlotte (United States) with 3.4%.
The number of roles in North America made up 51.1% of total big data jobs - up from 45.1% in the same quarter last year.
That was followed by Middle East & Africa, which saw a -0.4 year-on-year percentage point change in big data roles.