Data VisualizationĪs the term suggests, data visualization is a person’s ability to present data findings via graphics or other illustrations. Data analysts are also often responsible for removing corrupted data, determining data quality, and preparing reports for their employer.Īll of these tasks, as you might have already guessed, require data analysts to have a well-developed toolbox of technical skills. They use technical tools to parse through large quantities of raw information and develop meaningful insights in the process. At risk of stating the obvious - all data analysts are concerned with, well, data. Part 1: Technical Skills Required for Data Analystsįirst, it’s essential to understand what a data analyst does. But regardless of the route you take, you will need to acquire a sturdy set of skills in order to become an in-demand data professional.īelow, we’ve listed the top 11 technical and soft skills required to become a data analyst : While many individuals opt into master’s programs, a growing cohort of learners has begun enrolling in boot camps, attracted by their reasonable price points and brief timelines. There is no one way to go about gaining these skills. Data analysts require specific skills to thrive in their field, and their qualifications are primarily tech-centric however, those in the profession also need a handful of soft skills.
That said, the rewards of a career in data analytics won’t come without significant training and effort. Career openings beckon from nearly every industry, from telecommunications to manufacturing, retail, banking, healthcare, and even fitness. Digital transformation has become the buzzword of modern business, and talented data analysts are needed now more than ever before. With this rapid expansion comes a significant opportunity to develop your skills in data analytics, for example by enrolling in a data analytics boot camp geared towards those seeking to get into the field. According to a recent report from the International Data Corporation (IDC), the global Big Data and business analytics market has been expanding at a fast clip over the last several years, leaping from $122 billion in global revenue in 2015 to $189 billion in 2019 and driving towards a projected $274 billion for 2022. Humanity generates an incredible two and a half quintillion bytes of data (that’s 2,500,000,000,000,000,000 bytes) daily - and it seems unlikely that metric will decline anytime soon. They can work with COOs, VPs, directors, and managers in some cases.It’s no hyperbole to say that modern society runs on data. Who a data analyst works with depends on the industry and vertical in which they work. They should have strong math skills and business acumen, interpret data, and be curious. Another important duty of a data analyst is to assess and determine the success of specific initiatives.Ī good data analyst is extremely detail-oriented and can explain large amounts of information in a simple, organized manner. They also ensure quality assurance and process documentation and define Key Performance Indicators (KPIs). What are the duties and responsibilities of a Data Analyst?Ī Data Analyst’s responsibilities include the deep analysis of data and then determining the best way to represent it visually to managers and stakeholders. They also design systems and databases to help them perform these actions. In general, they retrieve, process, and analyze large amounts of data. Frequently asked questions What does a Data Analyst do?Ī Data Analyst's role depends on the industry, such as social media, digital marketing, finance, business intelligence, and more.
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