Use technology to mine complex, voluminous, and different varieties of data from various sources and platforms in order to collect, analyze, and compile data to meet customer needs
Identify new sources of data and methods to improve data collection, analysis, and reporting
Collect customer requirements
Determine technical issues
Design algorithms and data manipulation capabilities using R, Python, C++, JavaScript, Go, and other known programming languages
Build data solutions, tools, and capabilities to enable self-service frameworks for data consumers to monitor and report on data
Improve the quality of data use and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Work collaboratively with Intelligence and Data analysis teams to produce qualitative and quantitative data that support Intelligence products.