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About
Job Information Job Opening ID 9591 Date Opened 06/14/2024 Job Type Contract Language Skills English Location Portland OR Hybrid locals Industry Technology City Portland State/Province Oregon Country United States Zip/Postal Code 97204 Job Description
Responsibilities include: Interpreting data, analyzing results using SQL, Excel, and basic statistical techniques Performing data analyses, analyzing data collection systems and other methods that optimize efficiency and data quality Acquiring data from primary or secondary data sources and maintaining databases Collecting, organizing, and interpreting database metadata (i.e., data structures, data relationships, data element descriptions), and capturing this in our Enterprise Data Catalog Modelling data, including master data, reference data, and transactional data objects, attributes, and relationships Assessing gaps and conflicts between data definitions across multiple software assets Creating database schemas from data models Writing SQL to analyze data and data structures in databases Assessing data quality in assigned data domains Providing guidance on master data and reference data governance Assisting with curating the Enterprise Data Catalog to scan new databases, data pipelines, data object definitions, PowerBI reports, and related metadata Required Experience & Skills: Strong communication skills including interviewing subject matter experts (business and technical) to capture requirements, and effective writing skills to convey technical options and recommendations, and to produce required documentation such as functional design specifications At least 5 years of experience working with data modeling tools such as Visio, ERWin, or equivalent SQL Server Management Studio (SSMS) to analyze data content, data structures, and stored procedures Data warehouse design including normalized structures for Operational Data Stores, and star schema structures for data marts On premise and Azure cloud databases including SQL Server and Synapse Preferred Experience: Utility industry knowledge, especially gas utilities Knowledge of typical data patterns for shared services domains such as Finance, Human Resources, and IT Informatica data management tools (eg, Enterprise Data Catalog) including data profiling and data lineage analysis Knowledge of CMDB data models Data Governance principles and methods Reference data management, especially using Informatica Reference360
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