Data Modeler General Overview Designs, develops, reviews, documents and implements data models for enterprise-wide relational and/or object database applications with an emphasis on assuring data integrity and access between applications. The three levels of data modeling include conceptual, logical and physical, which involve the specialization of data element analysis, data standardization, naming and normalization. Skills Listing The ideal candidate possesses a combination of skills and experience in a variety of areas. Below is a list of the most commonly sought after skills, with highly sought after examples listed in brackets. This list is meant as a guide only. Technical Skills •Knowledge of relational databases (eg. Oracle, DB2, MS Access) •Knowledge of data modeling principles •Knowledge of CASE (Computer Aided Software Engineering) tools •Knowledge of data warehousing •Knowledge of industry development methodologies •Ability to write and interpret specifications •Knowledge of object oriented databases (eg. Object store) •Managements of data integrity •Knowledge of database technology (eg. SQL) •Data analysis skills Non-Technical Skills •Analytical skills •Strategic thinking •Methodical approach •Ability to meet deadlines •Process oriented •Hands-on approach •Determination •Ability to conceptualize •Problem solving skills •Client interaction skills