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Why Data Jobs are the Hot Career of the Future

Date: 28 August 2015

As data becomes more important to businesses from every sector, so too is the need for data professionals who can help companies to leverage the information for corporate success. Data analysts or scientists – those able to spot patterns, draw conclusions and formulate valuable insights from mass amounts of seemingly indecipherable data – are therefore the hot career of the future.

The desire for businesses to hire and build-out their data teams is leading to a massive imbalance in supply and demand. This is obviously very positive news for candidates, as it means that with just a small amount of experience they can command very high salaries. For businesses seeking to hire, however, the talent pool is very small and competition is very high, so firms must be vigilant in seeking out potential employees and willing to meet candidate demands.

But what is it about 2015 that is causing such significant growth in the hiring of data scientists? Part of this growth can simply be put down to the increase in the amount of data being created; in 2012 around 2.5 billion gigabytes of data was created, and this figure is doubling every 40 months. Data is growing in terms of volume and speed, forcing businesses to hire data professionals to process it.

Investing in data analytics and hiring data professionals is no longer optional – it is essential for modern businesses looking to manage and learn from the data they create. There are a number of different data roles being created, but that of a data scientist seems to be the most sought after and lucrative in terms of the results generated. Data scientists are able to build predictive models of the future based on present insights gained from the data available, and manage existing data infrastructures.

The role of data scientists was listed as the sexiest job of the 21st century and the need for more professionals in this position has been researched in a McKinsey study; harrowingly, it is predicted that by 2018 the US alone will be facing a shortage of 140,000-190,000 candidates with analytical expertise. The chief economist for, the online recruitment site, claims that the number of job postings for data scientists increased by 57% in Q1 2015 compared to Q1 2014. Similarly, the number of searches for data scientist increased by 73.5% in this same period.

But perpetuating this lack of talent in the data sector is the absence of education across the globe. According to research from Github, Europe and North America (specifically the east coast) are the most lucrative areas for data science programmes at global universities, but there is a distinct lack of available programmes in the rest of the world. Specific hubs like Hong Kong, Singapore and Sydney all offer data science training but with the nature of business changing on a global scale, universities from every continent need to catch up if they are to provide companies with the talent they require.

Businesses also need to know what to look for when hiring a data scientist – or indeed any data professional (data analyst or data native, for example). They must be able to recognise if an individual has the skills and intelligence to evolve as the sector does; if they have the mathematical and abstract skills to make statistical deductions and formulate actionable solutions from unclear data sets.

Here at Glocomms we help businesses source the most talented employees for their data initiatives – as well as offering expert advice and consultancy services to help determine where the needs of a business lie in terms of data practices. For more information about this emerging field, opportunities within the sector or hiring specialist big data talent, contact the Glocomms team today.

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