You will manage the pipe lining (collection, storage, access), engineering (cleansing, feature creation / selection) and understanding (documentation, exploration) of the data; Acquire, create and manage innovative data assets for the team. These assets will draw from various sources internal and external systems, flat files, databases and external APIs; Evaluate user requests for new or re-engineered analytics and reporting solutions to determine their feasibility, time requirements and their compatibility with current systems and architecture standards; Active participation in the development of the data lake, data marts and subsequent enhancements, including the creation of new data solutions to support development of analytic capabilities; Interact with stakeholders regarding data availability and report format/presentation, to ensure the report provides the information the stakeholders need without compromising the reports accuracy; Deliver new capabilities to the business through agile methods experiences with Scrum and Jira are a plus.
