Sr. Data Analytics Engineer

As a Data Engineer, you will be responsible for: - Demonstrating knowledge of data engineering and analytics concepts such as data warehousing, data marts, report modeling, visualizations, and all aspects of data preparation for consumption by downstream self-service and end-user report publishing platforms - Providing input and expertise to new product ideas and articulating IS/HI intake processes - Understanding, assessing, and articulating business and functional requirements and their impacts and relationships to data functions, platforms, and practices - Designing and building technical data solutions (technologies, processes, practices, frameworks) that meet business needs - Conducting data impact assessment, root cause analysis, and providing ongoing data analysis support to business stakeholders - Articulating technical concepts, principles, and solutions to non-technical business stakeholders and conducting knowledge transfer, walkthroughs, and demos - Leading or participating in the implementation of a data solution, process, or practice Preferred qualifications include: - Working knowledge of statistical models and principles, and proficiency in using statistical tools - Working knowledge of one or more PSJH-relevant data domains, e.g., clinical, financial, etc. As a Data Engineer, you will be responsible for: - Demonstrating knowledge of data engineering and analytics concepts such as data warehousing, data marts, report modeling, visualizations, and all aspects of data preparation for consumption by downstream self-service and end-user report publishing platforms - Providing input and expertise to new product ideas and articulating IS/HI intake processes - Understanding, assessing, and articulating business and functional requirements and their impacts and relationships to data functions, platforms, and practices - Designing and building technical data solutions (technologies, processes, practices, frameworks) that meet business needs - Conducting data impact assessment, root cause analysis, and providing ongoing data analysis support to business stakeholders - Articulating technical concepts, principles, and solutions to non-technical business stakeholders and conducting knowledge transfer, walkthroughs, and demos - Leading or participating in the implementation of a data solution, process, or practice Preferred qualifications include: - Working knowledge of statistical models and principles, and proficiency in using statistical tools - Working knowledge of one or more PSJH-relevant data domains, e.g., clinical, financial, etc.