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.
- 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