Data Analysts: What You’ll Make and Where You’ll Make It

The Americas. The Wild West. Outer space. Big Data.

Data is the new frontier of the 21st century, ripe for exploration. 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. (Some companies treat the titles of “data scientist” and “data analyst” as synonymous. 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 Harvard Magazine, “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.

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