Demonstrate technical expertise, establishes credibility with both technical resources and decision makers. Work with client systems, performance, and current and potential data loaded onto systems to facilitate demand creation.
The Enterprise Data Warehouse Data Modeler will work with IQ's Extract/Transform/Load (ETL), Business Intelligence (BI), and Database Administrator (DBA) teams to develop a target architecture, bridging strategy, developing dimensional models and reporting structures to support current and projected reporting and data requirements.
In this role, the selected candidate will document database process that currently extracts the data from the existing system for reporting purposes; assist in establishing the organization's data warehousing strategy.
Works with business requirement team, analysts and developers to ensure stakeholder requirements are addressed through integration solutions in a manner that aligns with timelines, budgets and quality expectations.
In this role, you will be responsible for the installation, configuration, troubleshooting, support and maintenance of all database systems including Production, QA, and Development server environments.
In this role, the selected candidate must have an experience Analyzing and generating technical requirements and design; xperience Development experience in implementation of data warehousing utilizing RDBMS.
Provide leadership and guidance to project teams and other architects on all aspects of BI / Analytics data architecture (Data Curation needs and methods, normalized and dimensional data modeling, Analytics and Machine Learning Data needs, ETL, reporting, etc.).