SharePoint Workflow Developer : Gulfstream

SharePoint Workflow DeveloperCreate repository.OOTBPower BI (a plus)Organized data and meta tag dataMigrate data and refresh dashboardsAn engineering data associate is typically responsible for collecting, analyzing, and managing data related to engineering projects. In order to be successful in this role, some must-have qualities and skills include:Strong analytical skills: The ability to analyze and interpret data is a key aspect of this role. Engineering data associates need to be able to work with complex data sets and identify trends and patterns.Attention to detail: Working with data requires a high level of attention to detail. Engineering data associates must be able to accurately enter and manage data, and identify errors or inconsistencies in data sets.Technical skills: Engineering data associates need to have a strong understanding of the technical tools and software used in their field. This may include proficiency in programming languages, data analysis tools, and database management systems.Required technical competencies:Microsoft Word, Excel, and PowerPointMicrosoft SharePointPreferred technical competencies:Programming language skills such as Python, MSQL, etc.Microsoft VisioCommunication skills: Being able to communicate technical information to a non-technical audience is an important skill for an engineering data associate. They need to be able to explain data and findings in a clear and concise manner.Organizational skills: Managing data requires strong organizational skills. Engineering data associates must be able to effectively manage data sets, create reports, and maintain documentation.Collaborative mindset: Working on engineering projects typically involves collaborating with multiple teams and stakeholders. Engineering data associates need to be able to work effectively as part of a team and communicate effectively with colleagues and stakeholders.Problem-solving skills: Data analysis often requires problem-solving skills to identify and troubleshoot issues with data sets or analysis techniques. Engineering data associates need to be able to think critically and creatively to find solutions to complex problems.