Data Miner

Data miners analyze data from different perspectives and summarize it into useful information - information that can be used to increase revenue, cut costs, or both.

Summary

Data mining is primarily used today by companies with a strong consumer focus - retail, financial, communication, and marketing organizations. It enables these companies to determine relationships among "internal" factors such as price, product positioning, or staff skills, and "external" factors such as economic indicators, competition, and customer demographics. And, it enables them to determine the impact on sales, customer satisfaction, and corporate profits. Finally, it enables them to "drill down" into summary information to view detail transactional data.

With data mining, a retailer could use point-of-sale records of customer purchases to send targeted promotions based on an individual's purchase history. By mining demographic data from comment or warranty cards, the retailer could develop products and promotions to appeal to specific customer segments.

Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases.

The NSA approval of the data-mining operation of all US Verizon customers is an example of data mining.

Educational Requirements

A bachelor’s degree in mathematics, statistics, or computer science will qualify students for an entry-level position in the data mining field.

Median Salary 2018

According to the Bureau of Labor Statistics, the median salary of a Data Miner in 2018 was $83,390.

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Information retrieved from U.S. News Money: Data Miner and Indeed: Data Miner Careers.