Data Modeler /Data Analyst
IRVINE, CALIFORNIA
Required Technical Skill Set
Erwin/Data modeling tool/Data Analyst tools like Informatica DQA
Desired Experience Range 6 to 8 Years
Desired Competencies (Technical/Behavioral Competency)
Must-Have
• Experience in Data Warehousing & Dimensional modeling
• 6 plus years strong experience in using Erwin/data modeling tools
• 3-5 years prior data analyst experience
• Logical Design Demonstrated experience with large scale, multiple business solutions across divisions or enterprise
• Ability to communicate strategies and processes around data modeling and architecture to cross functional groups and senior levels
• Ability to influence multiple levels on highly technical issues and challenges
SN Responsibility of / Expectations from the Role
1 Understand Business requirements thoroughly and extensive analysis of source system.
2 Analyze the source data from varied systems and consolidate data points
3 Preparation of CDM, LDM, and PDM using data modeling tools like ERWIN.
4 Have CDM, LDM reviews with Data SMEs.
5 Apply client Standards, check models in and out of Model Repository, and document data model translation decisions
IRVINE, CALIFORNIA
Required Technical Skill Set
Erwin/Data modeling tool/Data Analyst tools like Informatica DQA
Desired Experience Range 6 to 8 Years
Desired Competencies (Technical/Behavioral Competency)
Must-Have
• Experience in Data Warehousing & Dimensional modeling
• 6 plus years strong experience in using Erwin/data modeling tools
• 3-5 years prior data analyst experience
• Logical Design Demonstrated experience with large scale, multiple business solutions across divisions or enterprise
• Ability to communicate strategies and processes around data modeling and architecture to cross functional groups and senior levels
• Ability to influence multiple levels on highly technical issues and challenges
SN Responsibility of / Expectations from the Role
1 Understand Business requirements thoroughly and extensive analysis of source system.
2 Analyze the source data from varied systems and consolidate data points
3 Preparation of CDM, LDM, and PDM using data modeling tools like ERWIN.
4 Have CDM, LDM reviews with Data SMEs.
5 Apply client Standards, check models in and out of Model Repository, and document data model translation decisions
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