Find & Apply For Data / Data Mining Analyst Jobs In Guilford, North Carolina
Data / Data Mining Analyst jobs in Guilford, North Carolina involve analyzing large datasets to extract valuable insights for businesses. These professionals use statistical techniques to identify trends, patterns, and correlations in data. They also develop algorithms and predictive models to optimize decision-making processes. Below you can find different Data / Data Mining Analyst positions in Guilford, North Carolina.
Jobs in Guilford
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.
Actuarial Data Engineer, Analyst
Lincoln Financial Group
Guilford, NC
Data Transformation Analyst
Piper Companies
Guilford, NC
Data Transformation Analyst
Piper Companies
Guilford, NC
Data Protection Analyst (Remote)
Lincoln Financial Group
Guilford, NC
Senior Commodity Cost Controller & Data Analyst
Volvo
Guilford, NC
Data Engineer Analyst
Lincoln Financial Group
Guilford, NC
Latest Jobs in Guilford
Salary Information & Job Trends In this Region
Data / Data Mining Analysts in Guilford, North Carolina play a crucial role in analyzing and interpreting complex data sets to drive business decisions and strategies. - 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 $75,000 per year - Senior-level Data Scientist salaries range from $85,000 to $100,000 per year The history of Data / Data Mining Analysts in Guilford, North Carolina can be traced back to the rise of big data in the early 2000s, where companies started to realize the value of data-driven insights in decision-making processes. As the field evolved, Data Analysts began to specialize in data mining techniques, utilizing advanced algorithms and statistical models to extract valuable information from large datasets. Current trends in Data / Data Mining Analyst roles in Guilford, North Carolina include the increasing use of machine learning and artificial intelligence technologies to automate data analysis processes, as well as a growing emphasis on data privacy and security measures to protect sensitive information.
