11 Data Analyst Skills You Need to Get Hired in 2021
It’s no hyperbole to say that modern society runs on data. 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. 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.
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. Digital transformation has become the buzzword of modern business, and talented data analysts are needed now more than ever before. Career openings beckon from nearly every industry, from telecommunications to manufacturing, retail, banking, healthcare, and even fitness.
That said, the rewards of a career in data analytics won’t come without significant training and effort. 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. There is no one way to go about gaining these skills. 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. 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.
Below, we’ve listed the top 11 technical and soft skills required to become a data analyst:
- Data Visualization
- Data Cleaning
- SQL and NoSQL
- Machine Learning
- Linear Algebra and Calculus
- Microsoft Excel
- Critical Thinking