A new Job, ID: 177716 <http://www.ejobsville.com/display-job/177716> was added at eJobsVille.com - For the Best Tech Jobs in Town <http://www.ejobsville.com/>
Title: Data Modeler - ErWin posted on 2014-05-29 12:27:53 Job Description:*Purpose and Description of Role* A data modeler builds data models that describe data and its relationships in a consistent way to support business and technical objectives. *Responsibilities and Activities* · Analyzing business requirements as a guide to data modeling. Working with BSA and Business to clarify the requirements and validate data models and definitions. · Understanding and following Enterprise Data Modeling standards, Approaches, and Tools (ErWin). · Understanding Xerox Enter[rise Data Models (Conceptual and Logical) and modeling additional data within the structure of the Enterprise data model. · Building data models with the flexibility to change when business requirements change. · Understanding Enterprise Data Modeling standards, Approaches, and Tools (ErWin) and ensuring the proposed model follows data architecture guidelines and best practices. · Rationalizing the relationships expressed in the logical data model to the schema of the physical data store (that is, database tables and columns). *Metrics for Evaluation* Data modelers typically report to a data architect. Their performance can be measured by: · Compliance with data architecture guidelines and best practices. Reuse of existing models. · Extension of data architecture to new domains. · User satisfaction. · The speed or cost of extending data models to accommodate new uses. *Background* Data modelers typically have been database administrators or business analysts with IT skills. The experience and skills of a data modeler should include: · Three years of experience with data modeling. Usually data modelers will have focused on modeling for transactional or analytic systems, which require distinct approaches. · Ability to see the role of data models in supporting diverse use cases such as business processes, BI, data migration or master data management (MDM). · Understanding of dimensional modeling, snowflakes, slowly changing dimensions, irregular dimensions, and surrogate, compound and intelligent keys. · Understanding of multiple representational techniques in a data model so as not to lock data into one relationship. · Experience in transactional and operational, analytical, and MDM modeling techniques. Job Requirements: *Purpose and Description of Role* A data modeler builds data models that describe data and its relationships in a consistent way to support business and technical objectives. *Responsibilities and Activities* · Analyzing business requirements as a guide to data modeling. Working with BSA and Business to clarify the requirements and validate data models and definitions. · Understanding and following Enterprise Data Modeling standards, Approaches, and Tools (ErWin). · Understanding Xerox Enter[rise Data Models (Conceptual and Logical) and modeling additional data within the structure of the Enterprise data model. · Building data models with the flexibility to change when business requirements change. · Understanding Enterprise Data Modeling standards, Approaches, and Tools (ErWin) and ensuring the proposed model follows data architecture guidelines and best practices. · Rationalizing the relationships expressed in the logical data model to the schema of the physical data store (that is, database tables and columns). *Metrics for Evaluation* Data modelers typically report to a data architect. Their performance can be measured by: · Compliance with data architecture guidelines and best practices. Reuse of existing models. · Extension of data architecture to new domains. · User satisfaction. · The speed or cost of extending data models to accommodate new uses. *Background* Data modelers typically have been database administrators or business analysts with IT skills. The experience and skills of a data modeler should include: · Three years of experience with data modeling. Usually data modelers will have focused on modeling for transactional or analytic systems, which require distinct approaches. · Ability to see the role of data models in supporting diverse use cases such as business processes, BI, data migration or master data management (MDM). · Understanding of dimensional modeling, snowflakes, slowly changing dimensions, irregular dimensions, and surrogate, compound and intelligent keys. · Understanding of multiple representational techniques in a data model so as not to lock data into one relationship. · Experience in transactional and operational, analytical, and MDM modeling techniques. *Click here to view full job description and apply <http://www.ejobsville.com/display-job/177716> (Registration not mandatory to apply for this job)* ------------------------------ Best regards, eJobsVille.com - For The Best Tech Jobs In Town -- You received this message because you are subscribed to the Google Groups "SAP or Oracle Financials" group. 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