Data Architect Associate | Full Time

EDUCATION/EXPERIENCE REQUIRED:

• Bachelor’s degree in Computer Science, Business, Health Care or related field.
• Technical training in multi-dimensional modeling and data mining/warehousing techniques.
• Related and relevant experience may be considered in lieu of academic requirements. Related experience is defined as six (6) years of experience in 
  multidimensional modeling, or data warehouse architecture.
• Minimum three (3) years of experience in multidimensional modeling.
• Knowledge and understanding of data warehouse architecture, application design, systems engineering, SDLC and integration.
• Experience with Epic Clarity and Epic Caboodle data models preferred.
• Expertise in Microsoft SQL Server, including T-SQL, SSIS, and performance tuning
• Experience with Microsoft Fabric, including data integration, real-time analytics, and cloud-based data management.
• Knowledge of Power BI or other reporting tools is a plus.
• Demonstrated experience leading teams that analyze complex data related issues and/or logical data models in support of corporate and customer information systems requirements.
• Good understanding of methodologies and technologies that depict the flow of data within and between technology systems and business functions/operations.
• Business analyst skills relevant to communication and analysis functions.
• ETL development experience relevant to knowledge about information design and compatibility, preferred.
• Database administration skills relevant to knowledge about conceptual/logical/physical design optimization, preferred.

Skills and Abilities

• Ability to understand business requirements, translate them into technical designs, deal with complexities of integration of disparate systems, investigate the quality of the data in those systems and put it all together so it can be accessed, manipulated and turned into business intelligence.
• Technical knowledge, analytical skill, reliability and initiative required to implement quality data warehousing systems and deliver timely and well-organized data intelligence.
• Ability to collect and prepare data for written and/or oral presentations communicating effectively with all levels of customer and management.
• Knowledge of Information Services policies, procedures and functions.
• Knowledge of Healthcare data and business practices and processes to provide appropriate and accurate levels of data intelligence to the business community.
• Good communication (written and oral) and interpersonal skills.