Data Science Intermediate Analyst

The Data Science Intermediate Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Tasks include conducting strategic data analysis, determining data requirements for business problems, mining and analyzing data to drive optimization, consulting with users and clients, formulating system scope and objectives, leading system changes, and evaluating risks in technology applications.