Data Science coding on a laptop
08/18/2020

5 Most In-Demand Roles in Data Science and Analytics

Like coding, love, and even klingon, data has its own language that only a select few experts can accurately translate and turn into powerful decisions that drive business growth.

As an organization that has spent many years recruiting exceptional analytics, data science, and data governance professionals, we’re seeing a sharp increase in demand for these jobs despite COVID-19’s impact. 

Listed below are five of the most in-demand data science and analytics jobs and how each role can benefit your business. 

 

Chief Analytics Officer 

Summary

Chief Analytics Officers are responsible for running data analytics operations. They develop advanced analytics and models to analyze and improve consumer experience, operational efficiencies, and much more. They often leverage AI, machine learning, and other advanced analytics to drive overall business growth. 

Why They Matter to Your Business

Companies across multiple industries are increasingly adding C-level positions for analytics professionals. This is due to a number of factors but perhaps two of the most straightforward reasons are to make more data-driven decisions and to better harness comprehensive data and analytics to create differentiated outcomes. In fact, most Fortune 500 companies actively employ a CAO to drive business growth.

 

VP of Big Data 

Summary

VPs of Big Data are responsible for developing solutions to acquire, curate, and make available data assets that are used to perform research & development, spearhead Big Data projects, and support business intelligence and analytics capabilities. 

Why They Matter to Your Business

Big data is a buzzword that’s been floating around for years but in reality, it’s simply a massive collection of data. If you think about it, the average person is expected to generate 1.7 megabytes of data per second by the end of 2020 according to Domo, requiring an astronomical amount of parsing, mapping, rendering, and processing. 

Companies look to the VP of Big Data to take all of that data and use it to methodically analyze how they can make strategic cost reductions, time reductions, and optimize product offerings. 

 

Data Scientist 

Summary 

With over 2.5 quintillion bytes of data collected every day, the role of a Data Scientist is to collect, interpret, and manage complex sets of data. 

Why They Matter to Your Business

Data Scientists analyze intricate data sets and uncover insights that drive business growth initiatives. According to Forrester, companies that make more data-driven decisions grow more than 30 percent annually on average, making data scientists some of the most critical hires an organization can make. 

 

Director of Customer Analytics

Summary

Directors of Customer Analytics are responsible for overseeing customer research and testing. They lead a number of initiatives for short, medium, and long-term growth of customer engagement, brand differentiation, and financial results.

Why They Matter to Your Business

Having a firm grasp on customer behaviors and buying habits is critical for organizations who want to get a clearer understanding of their customers.

 

Head of Data Governance

Summary

The Head of Data Governance is tasked with the implementation and oversight of the company’s data management goals, standards, practices, process, and technologies. 

Why They Matter to Your Business

Having bad data is extremely risky for businesses, as it can cause security risks, lead to compliance issues, and unproductive results. The Head of Data Governance assures all company data is clear, useful, and secure – all key initiatives for sustained growth.

The Data Science and Analytics industry is coming back stronger than ever, having grown over 650 percent since 2012 and still number one in the most in-demand jobs list.

More and more companies are looking for Data and Analytics professionals to help their businesses unlock growth opportunities but they often struggle to find the right candidates. On top of that, it takes an average of 90-120 days to hire a Data Scientist. 

BrainWorks Analytics, Data Science & Data Governance Hiring Solutions

If your business is looking to hire exceptional Analytics, Data Science, and Data Governance professionals, consider working with a search firm like BrainWorks, who has a successful track record of placing data experts in only 45-60 days. 

At BrainWorks, we know how to identify dynamic executive talent who fit the unique culture, environment, and vision of your company. We solve your hiring challenges by leveraging our vast network of highly skilled talent and our extensive, time-tested industry expertise. 

Get in touch with us today to learn how we can do it for you.

 

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