Without effective big data staffing and data science recruitment, organizations fail to gather the talent they need to turn data into action. Computers can collect data, but it takes people with analytical and creative minds to turn all those numbers into actionable insights.
Marketing has been revolutionized in the past few years by the explosion of data collection and analytics capabilities. It's affected every aspect of marketing, from SEO to e-mail marketing, social media marketing, customer segmentation, and everything else you can think of.
The complexity of using big data correctly lies not with Big Data itself, but your team's ability to accumulate and process it. A recent Adobe survey of marketing professionals found that many companies lack the analytical skills to properly use their data. Effective big data staffing helps you solve this problem.
Demand for talent involved with gathering and processing data is set to have created 4.4 million jobs globally by the end 2015. But only one-third of those positions will be filled. Who will you turn to when you can't get the talent you need to take advantage of your marketing data? Read more
If you're not well initiated in the modern application of IT marketing recruitment, understanding the kind of talent you need to take advantage of it poses a challenge. A large enough business will almost certainly need some combination of marketing analytics staffing and data science staffing talent to get the complete picture and wring the most possible ROI from the data it has collected. But understanding the difference between the two, and determining what you need of each, isn't simple. Read more
Can you develop complex predictive models based on business data, identify trends, score customer segments, and define next best products to drive value to the business? If yes, we need you! See open data jobs.
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