Manager - Data Analytics
Current• Manage full-time employees (pay, time away from work, one-on-one meetings, performance updates, workload management, communications, team building, etc.)• Hire new talent (both internal and external)• Use PC SAS, SAS Enterprise Guide, SQL Server, TOAD, DBeaver, and various other tools to write complex SAS/SQL queries and provide data to internal partners for use in decision making, error detection, control reports, and many other purposes• Meet with leadership to discuss problems and solutions• Utilize GitHub, Visio, and other Microsoft Office tools for project organization (version control, process flows, documentation, etc.)• Train new employees• Frequently provide consultation to existing employees needing help and to provide latest methods, tips, and tricks