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Amazon announced this morning a plan to invest over $700 million to retrain workers across the U.S. to allow them to move into skilled technical and non-technical roles across its corporate offices, tech hubs, fulfillment centers, retail stores, and transportation network. The company’s goal is to “upskill” 100,000 of its U.S. employees for more in-demand jobs by 2025 — or, one in three of Amazon’s U.S. workers.
In particular, Amazon has its eye on job roles like data mapping specialist, data scientist, solutions architect, and business analyst, as well as logistics coordinator, process improvement manager and transportation specialist, it says. Based on a review of its workforce and U.S. hiring, these are the fastest-growing, highly skilled jobs over the past five years.
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For example, data mapping specialists have seen job growth of 832% in the past five years, based on Amazon’s own data, while data scientists jobs grew 505%, solutions architect grew 454%, security engineer jobs grew 229%, and business analyst jobs grew 160%. Meanwhile, the highly-skilled job roles in customer fulfillment have grown by 400%.
Amazon’s U.S. workforce is expected to reach 300,000 employees this year, and it will reach 630,000 employees worldwide.
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The retraining investment breaks down to around $7,000 per worker, and it one the largest corporate retraining programs to date.
The funding will be distributed across a range of programs, including both existing programs and new initiatives. It will also be focused on training people both with and without existing technical backgrounds.
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These programs include the new Amazon Technical Academy, which will train non-technical Amazon employees with skills that allow them to transition to software and engineering careers; the new Associate2Tech program that will train fulfillment center associates to move into technical roles; and the new Machine Learning University, to train those with a tech background to branch into machine learning.
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