Using automated systems to implement and use data extraction and analysis from primary and secondary sources.
Correcting coding issues and other relevant issues, and removing corrupted data.
Enhancing the loading of data into and out of various sources/target systems by designing, creating, and putting into effect new ETL processes that use industry standards and best practices.
Rearranging data in a legible way through the creation and upkeep of databases and data systems.
Analyzing data to determine its value and quality.
Making use of statistical methods to find, examine, and analyze patterns and trends in large, complicated data sets that can be useful for diagnosis and forecasting
Giving important business processes a numerical value so that business performance can be evaluated and compared across time.
Examining regional, societal, and global trends that have an impact on both.