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Eis Data Analyst Jobs

Eis Software Engineer Jobs
By Kodak Alaris At United States
Experience with API management and Cloud-based platforms and services [AWS, Google].
Experience working with package management systems, such as Nuget.
Experience with Object Oriented, Event-Driven Application architecture and programming.
Experience with Windows 2019 Server. SQL Server and Web Services (Web API, SOAP, RESTful Interface design).
Experience with C# and Microsoft’s Visual Studio .NET.
Experience building distributed systems to run on cloud connected/disconnected environment.
Intelligence Analyst Iii - Eis
By Crisis24 At Mt. Laurel, NJ, United States
Excellent research skills and the ability to mentor analysts in how to research and evaluate sources.
Exceptional analytic writing skills and the ability to mentor other analysts in analytic writing.
Excellent verbal briefing skills and the ability to mentor other analysts in verbal briefing.
Ability to mentor other analysts in analytic skills.
Sports and events industry knowledge preferred.
Customer service experience required; ability to support complex engagements a plus.

Are you looking for an exciting opportunity to use your data analysis skills to make an impact? We are looking for a Data Analyst to join our team and help us make data-driven decisions that will shape the future of our business. You will be responsible for analyzing large datasets, developing insights, and creating reports to help us make informed decisions. If you have a passion for data and a desire to make a difference, this is the job for you!

Overview The EIS Data Analyst is responsible for the analysis, design, development, and maintenance of enterprise information systems (EIS) data. The EIS Data Analyst will work with stakeholders to identify and document business requirements, develop data models, and create data mappings. The EIS Data Analyst will also be responsible for developing and maintaining data quality standards and ensuring data integrity. Detailed Job Description

The EIS Data Analyst will be responsible for the following tasks:

• Analyze business requirements and develop data models to support the requirements.
• Develop data mappings to ensure data accuracy and integrity.
• Develop and maintain data quality standards.
• Develop and maintain data dictionaries and other metadata.
• Develop and maintain data security standards.
• Develop and maintain data integration processes.
• Develop and maintain data warehousing processes.
• Develop and maintain data mining processes.
• Develop and maintain data visualization processes.
• Develop and maintain data reporting processes.
• Develop and maintain data cleansing processes.
• Develop and maintain data archiving processes.
• Develop and maintain data backup processes.
• Develop and maintain data recovery processes.
• Develop and maintain data migration processes.
• Develop and maintain data synchronization processes.
• Develop and maintain data transformation processes.
• Develop and maintain data analysis processes.
• Develop and maintain data warehousing and business intelligence solutions.
• Develop and maintain data integration solutions.
• Develop and maintain data quality solutions.
• Develop and maintain data security solutions.
• Develop and maintain data governance solutions.
• Develop and maintain data mining solutions.
• Develop and maintain data visualization solutions.
• Develop and maintain data reporting solutions.
• Develop and maintain data cleansing solutions.
• Develop and maintain data archiving solutions.
• Develop and maintain data backup solutions.
• Develop and maintain data recovery solutions.
• Develop and maintain data migration solutions.
• Develop and maintain data synchronization solutions.
• Develop and maintain data transformation solutions.
• Develop and maintain data analysis solutions.
• Develop and maintain data warehousing and business intelligence systems.
• Develop and maintain data integration systems.
• Develop and maintain data quality systems.
• Develop and maintain data security systems.
• Develop and maintain data governance systems.
• Develop and maintain data mining systems.
• Develop and maintain data visualization systems.
• Develop and maintain data reporting systems.