Banking and bio/pharmaceutical industries helped put Boston on the big data hiring map. "Both industries deal with large amounts of data that are detailed and complex in nature. That data then needs to be analyzed and placed in reports, dashboards and spreadsheets by data scientist and analysts," Modis writes.
In St. Louis, universities and healthcare companies lead the big data hiring boom, followed by pharmaceutical and bioresearch firms that need to fill data analyst and scientist roles.
Lastly, in Toronto, financial institutions are fueling a need for business intelligence pros who can help organizations get a more precise and complete picture of the business and customers, Modis finds.
In the big picture, companies often have to compromise and prioritize their wish list -- technical expertise, industry experience or quantitative statistical analysis skills, for experience -- to find available big-data candidates.
"What is this person going to be doing? Do you need the technical skills? Or is the quantitative/statistical expertise more important? Is this person going to be doing data modeling or making business decisions?" Kelley says. "In an ideal world, companies want all of it. But it's not an ideal world."
Ann Bednarz covers IT careers, outsourcing and Internet culture for Network World. Follow Ann on Twitter at @annbednarz and check out her blog, Occupational Hazards. Her e-mail address is firstname.lastname@example.org.
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