Vacancy expired!
• 4+ years of data modeling experience supporting enterprise data solutions and integrations and design documentation production
• 4+ years of experience with Data Modeling in finance, commercial, supply chains, Sales, Customer analytics
• 3+ years of experience in Data Transformation/ETL tools and technologies, and related concepts such as data catalog
• 2+ years of experience in Azure Synapse object support
• Familiar with Oracle Fusion Cloud ERP
• Experience determining security procedures for system databases and central data stores to maintain the viability of and access to data based on organizational needs
• Familiar with Data Warehousing, ETL principles, BI semantic modeling, and BI report development
• Deep knowledge of Kimball and Inmon approaches and the core differences
• Experience in data modeling principles/methods including conceptual, logical & physical Data Models
• Experience in translating/mapping relational data models into Data Base Schemas
• Experience with modeling tools (such as Lucidcharts, Capture technical metadata through data modeling tools)
• Knowledge of RDBMS (e.g. SQL Server, DB2) and cloud data platforms (Snowflake, Azure Synpase) with experience in generating DDL
• Ability to translate a logical model into a physical model, adding appropriate physical objects needed to create the database e.g. indexes
• Experience maintaining a model repository
• Ability to synchronize models to ensure that database structures match models
• Familiar with metadata ingestion and translation
• Effective oral, written, and interpersonal communication skills, communicating in a technical and non-technical manner with business customers
• Ability to work effectively with associates at all levels within the organization
• Proven ability to handle multiple tasks and projects simultaneously
• Analytical skills, problem-solving, and attention to detail
• Experience with Tableau or other data visualization tools in addition to BI tools such as Power BI is highly preferred
• BS in Computer Science, Information Management or Statistics
