The world of data and analytics is now taking a critical turn as the era of big data has begun. The storage of such huge chunks of data was a major issue back in 2010. However, companies like Hewlett Packard enterprises, IBM, oracle corporation, etc. eased the process. The big data market is filled with an ample amount of job opportunities and many of them are highly paying. In fact, according to Forbes, the median base salary of Master in Data Analytics ranges from $95,000 at level 1(0-3 years of experience) to $165,000 at level 3 (9+ years).
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Let us now take a look at the top 7 highly paying data scientist jobs in the market.
1.Big data engineer
A big data engineer converts tons of heavy data into a simpler and understandable format so that it can be used by top professionals to gain valuable insights. A big data engineer also overlooks the data infrastructure to make sure that everything is streamlined. The average data scientist’s salary is $113,436, according to Glassdoor.
A data architect helps in designing and maintaining data structure and constantly looks for design improvements with a strong focus on visualization. This position is usually an executive-level job, where the employees directly report to the board members. The average base pay of a data architect in the United States $114,191 per annum.
3.Data warehouse manager
For individuals who are extremely passionate about working on data, the position of a data warehouse manager would be just the right fit. The core role of a data warehouse manager involves the same and efficient data management. The average salary of a data warehouse manager typically falls between $122,571 and $148,404 in the United States.
4.Business Intelligence analyst
The job of a business intelligence analyst involves analyzing information from the business and converting it into useful information. If you are someone who loves playing with data, this might be your dream job. According to indeed.com, the average salary for a Business Intelligence Analyst is $92,150 per year in the United States.
A data scientist is someone who builds value out of data. Such a person gathers information from various sources and analyzes it for a better understanding of the performance of the business. He is also the in-charge of building AI tools that can automate certain processes in the business. The average salary for a Data Scientist is $121,585 per year in the United States.
A data analyst gathers and stores data on the number of sales, market research, logistics, and other domains. They offer technical expertise to ensure that the quality, as well as the accuracy of the data, is well maintained. The average pay scale of a data analyst in the United States is $69,291 per annum.
As the name suggests, a database developer improves the current database process and boosts the coding efficiency. A Database Developer typically works for corporate IT departments in various industries. The typical salary range for database developers is $108,000 to $145,000, with a 1% increase in salary between 2016 and 2017.
Research shows 94 percent of data science graduates have gotten jobs in the field since 2011, which clearly indicates that now is the right time to get into your dream job in the field of data science.