Support data modeling activities as directed by the Lead Data Modeler or Lead Data Analyst.
These activities include analyzing source system artifacts including process flows, data flows, data dictionaries and data schemas to draft a target state data dictionary and identify data patterns (real time, intraday, batch) that will serve as the primary inputs for modeling the data.
The Data Analyst must possess an understanding of relational databases to develop the data modeling inputs in the appropriate context.
Under the direction and training of the Lead Data Modeler, the Data Analyst will make specific updates to the data models primarily in terms of data object names and definitions.
The Data Analyst must also possess the skills to effectively collaborate with client Subject Matter Experts (SMEs) to obtain all of the information necessary to develop complete and accurate data models in addition to managing all project artifacts using change control procedures.