Design and maintain systems and databases; this includes fixing coding errors and other data-related problems.
Extract data from primary and secondary sources, then reorganize said data.
Use statistical tools to interpret data sets and pay particular attention to trends and patterns that can be valuable for diagnostic and predictive analytics efforts.
Prepare reports for the executive that effectively connect trends, patterns, and forecasts to relevant data.
Collaborate with programmers, engineers, and organizational leaders to identify process improvement opportunities, propose system modifications, and develop data monitoring policies.
Create appropriate documentation that allows stakeholders to understand the steps in the data analysis process and, if necessary, reproduce or repeat these steps.
Requirements
Familiarity with programming languages (R, SAS, and Python).
