Brought to you by Talkin' Cloud
This is part of a Penton Technology special series on big data.
In my job as an editor I see a lot of statistics thrown around on technology, so it’s not often that I read one that really wows me. Get this: nearly six million jobs were created in the US last year to work on big data projects. This is according to a slideshow from Bernard Marr, the author of Big Data: Using Smart Big Data, Analytics and Metris to Make Better Decisions.
To break it down, 1.9 million jobs were created in the US last year to work on the IT-side of big data projects, but each of these jobs is supported by 3 new jobs outside of IT. Isn’t that incredible?
Jobs that require big data expertise pay well, too. The average salary, according to a report by Forbes last year, is $124,000 net of bonuses and compensation. With all of this in mind, it makes sense that there are more training opportunities opening up for positions related to big data. Take for example the NYC Data Science Academy, which offers a full-time bootcamp for a career as a data scientist, or DataCamp, which offers online courses to learn data science skills such as R, Python or data visualization.
Of course, data scientists are just one of the jobs related to big data.
According to a blog post by Pete Ianace, chief strategy officer and executive vice president of No Magic Inc., a software company based in Texas, data scientists require the support of other roles in order to add value.
“The dirty little secret of big data analytics is all the work that goes into prepping and cleaning the data before it can be analyzed. You may have the sharpest data scientists on the planet writing the most advanced algorithms the universe has ever seen, but it won't amount to a hill of beans if your data set is dirty, incomplete, or flawed. That's why up to 80 percent of the time and effort in big data analytic projects is spent on cleaning, integrating, and transforming the data.”
In this slideshow Talkin’ Cloud explores 7 jobs related to big data and their average salaries*. Click through to learn more.
*Salaries are an approximation and vary company to company. Average salary data is taken from Payscale.
Data scientists are responsible for analyzing data and extracting useful information out of it, according to Amit Gupta, founder of Strix Labs.
“Data scientist is believed to be the ‘sexiest’ Hadoop job description of the 21st century,” Arjun Wadhawan said in an answer to a Quora question on big data jobs. “Data scientists thrive on solving real world problems with real data. They are very good at using different techniques for analyzing data from different sources to help business make intelligent decisions. They need to have both skills of a software engineer and an applied scientist.”
Average salary: Data scientists make an average of $93,147 per year.
Average salary: The average salary for a data analyst is $55,036 per year. The highest paying skills associated with this job are SAS, data mining/data warehouse, data modeling, SQL and Microsoft SQL server, according to PayScale.
Data architects are responsible for the design, structure, and maintenance of data, ensuring the accuracy and accessibility of data.
Average salary: The average salary for a data architect is $109,413.
According to Datanami, a big data engineer is “the all-purpose everyman of a big data analytics operation.”
“They will often come from programming backgrounds, and are experts in big data frameworks, such as Hadoop. They’re called on to ensure that data pipelines are scalable, repeatable, and secure, and can serve multiple constituents in the enterprise.”
Average salary: The average salary for a data engineer is $87,426 per year.
Statisticians collect, analyze and interpret qualitative and quantitative data with statistical theories and methods, according to DataCamp.
According to a report by Gizmodo India, statisticians “have to be mathematicians, who can churn out reports basis some data provided to them. The second part is about being able to use a big data technology to automate data processing. The data comes in, which has to be processed by software that provides insight on a real-time basis, which is what a statistician has to do.”
Average salary: The average salary for a statistician is $71,716.
Big data and databases go hand-in-hand. A database administrator ensures that the database is available, is performing properly, and is secure.
Average salary: The average salary for a database admin is around $87,500 per year. Database managers’ salaries start at $107,750 per year.
Business analysts are primarily responsible for generating insights that convert big data into business value. According to Teradata, this can include translating insights and patterns embedded in data assets into language understood by the business.
Average salary: The average salary for a business analyst is $66,913.
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