Find & Apply For Data / Data Mining Analyst Jobs In Gwinnett, Georgia
Data / Data Mining Analyst jobs in Gwinnett, Georgia involve analyzing data to extract valuable insights for decision-making. Responsibilities include cleaning and organizing data, conducting statistical analysis, and creating data visualizations. Proficiency in programming languages like Python or R, as well as experience with data mining tools such as SQL, is typically required. Below you can find different Data / Data Mining Analyst positions in Gwinnett, Georgia.
Jobs in Gwinnett
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Latest Jobs in Gwinnett
Salary Information & Job Trends In this Region
Data / Data Mining Analysts in Gwinnett, Georgia work with data to extract valuable insights and make informed business decisions. - Entry-level Data Analyst salaries range from $45,000 to $55,000 per year - Mid-career Data Mining Analyst salaries range from $65,000 to $80,000 per year - Senior-level Data Scientist salaries range from $90,000 to $120,000 per year The role of a Data / Data Mining Analyst in Gwinnett, Georgia has a rich history dating back to the early days of computing when data analysis was primarily done manually. As technology advanced, the role evolved to include more sophisticated tools and techniques for extracting, transforming, and analyzing data. With the rise of big data and the increasing importance of data-driven decision-making, the role of a Data / Data Mining Analyst in Gwinnett, Georgia has continued to evolve. Today, these professionals play a crucial role in helping organizations harness the power of data to drive business growth and innovation. Current trends in the field of data analysis and data mining in Gwinnett, Georgia include the use of machine learning algorithms, artificial intelligence, and automation to streamline data processing and analysis. Additionally, there is a growing emphasis on data privacy and security, as well as the ethical use of data in decision-making processes.
