Systems Analysis Advisor T500-13865

You should have a passion for healthcare and recognize the potential for technology to enhance people's lives. Effective verbal and written communication skills are essential, along with the ability to facilitate group discussions. You must possess the aptitude to deliver enterprise and/or platform systems and solutions in a variety of scenarios. Experience in distilling complex ideas into an implementation plan and executing it is crucial. Additionally, you should be able to critically evaluate the trade-offs and implementation impacts of emerging versus established technologies. Experience in Joint Application Design (JAD) sessions with business users and formulating technical/business requirements is beneficial. Your tasks and responsibilities will include collaborating with key stakeholders from various areas to identify scope and understand key requirements. You will be responsible for performing complex application implementations using the latest techniques and technologies such as AWS Services, RDBMSs, Postgres, APIs, and querying languages. Reviewing the existing platform, identifying areas of improvement, and working with the development team to implement enhancements are also part of your role. Designing and implementing changes for application engagements to facilitate the archive and purge of non-compliant data, preparing applications/system specifications for Information Systems solutions, interpreting, analyzing, and reporting on in-depth data analysis, and taking ownership of assigned tasks are key responsibilities. You should be open to learning new tools/technologies, adapt based on project requirements, report progress to senior-level leadership, and work as part of a self-organizing team in a highly Agile environment. Qualifications for this role include 5+ years of healthcare experience solving business problems or needs through the application of data analytics approaches, 4+ years of experience working with various RDBMS (e.g., DB2, Oracle, SQL Server), the ability to build intermediate to complex queries using common query languages (SQL, HQL), foundational knowledge of AWS Services (Cloud Technology), experience in testing, debugging, and solution designing, hosting requirement gathering sessions, prior experience with Big Data technologies, and the ability to function in a Production Support-like environment.,