This position will be responsible for supporting EBSCO's custom database products in the live production environment using various scheduling and monitoring applications. Reporting to the Team Lead of Data Integration, this position calls for an experienced analyst/engineer who has a proven track record in application operation and management as well as vendor support. The ideal candidate should be a self-starter that can handle multiple priorities simultaneously. Additionally, the candidate should display a pattern of continual learning and an ability to drive improvements to existing processes and tools.
Within 30 days:
Learn the database pipeline value stream for LSDs: attend daily stand ups and able to describe overall workflow, understand the key players, roles and responsibilities.
Onboard and train on both the production environment and analyst landscape
Identify two areas of opportunity/improvement within the value stream or analysis domain
Obtain a list and information on Content Management tools and identify which Content Management tool (Tableau report, web application, automated reporting system) to become a backup on.
Obtain an understanding of SLS
Begin to handle primary escalation support of offshore vendors monitoring the production environment
Within 60 days:
Drive and implement improvements identified
Share industry trends and best practice recommendations regularly
Contribute to and/or own internal documentation
Actively participate in the Content Management Enhancements workflow and support efforts to add or migrate documentation to the CM Dev, Reporting & Analytics SharePoint 365 repository
Complete training on at least 1 major Content Management tool best suited to your skillset (a Tableau report, web application, automated reporting system) and become a backup for said item
Assist with special projects as needed
Within 90 days:
Review at least 1 emerging technology (either one newly adopted within EBSCO or something totally new) and propose ways it could be leveraged to improve operational efficiencies
Support establishing AWS-based data pipeline or similar as needed