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Since the field of data science is still nascent, the Bureau of Labor Statistics doesn’t have any, well, data on data analyst salaries. But according to GlassDoor, the national average salary for data analysts tops more than $60,000.
Image via The Americas. The Wild West. Data is the new frontier of the 21st century, ripe for exploration. Best mac data recovery software. Data science—obtaining, analyzing, and reporting on data insights ranging from business metrics to user behavior—is an ultra-buzzy field right now. So you might have found your interest piqued if you’re into statistics, languages like Python and SQL, and data-driven problem-solving. You’ll be happy to know that all the buzz around data science isn’t a bunch of empty hype. Data analyst jobs are extremely abundant, lucrative, and intellectually fulfilling.
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(Some companies treat the titles of “data scientist” and “data analyst” as synonymous. Fabby hair color changer for mac. For the purposes of this article, anything not specifically identified as pertaining to data scientists will refer to data analysts. There’s more to come on the distinction between the two.) Companies are buckling under a deluge of information newly available to them in an incredibly rich variety. Petabytes of data offer detailed intelligence on everything from when, how often, and where customers are using products, to precisely how a process is functioning along a near-infinite quantity of touchpoints. But all that data is useless to a business without someone to organize it, evaluate it, glean actionable insights from it, and communicate those insights visually, verbally, or both. As Harvard Professor Gary King told, “There is a big data revolution. The big data revolution is that now we can do something with the data.” That’s where you come in.
High Demand for the Highly Skilled Data analysts are in extremely high demand, but the work itself is equally demanding. Data science sits at the intersection of statistics, business intelligence, sociology, computer science, and communication. You’ve got to be a numbers whiz, but also a strong communicator; you’ve got to be an analytical mastermind who can also think abstractly.
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There’s an incredible potential, already being fulfilled in industries as varied as medicine and manufacturing, to capitalize on the deep data pool available to change the course of how products are made and marketed, how processes are executed and optimized, and how society at large advances. No pressure or anything. To situate yourself for success as a data analyst, you should be familiar with: programming, statistics, machine learning, data munging, and data visualization. “You obviously need the technical skills to be able to extract data and run statistical analyses, but there is the more intangible ability of finding patterns or irregularities to report on,” said Erik Berger, a Senior Web Technology Manager who’s been working in data analysis for 11 years.