A computerized predictive workload scheduling tool and methods for analytically implementing a predictive job schedule. The scheduling tool incorporates and uses analytics to leverage information from a plurality of data sources to anticipate and pro-actively correct computing system job failures before they occur. The predictive scheduling tool generates a job schedule, analyzes the job schedule for predictable failures and resolves the identified failures by amending the job schedule. The job schedule generated and analyzed by the scheduling tool is deployed, analyzed and resolved for errors as needed or identified to prevent failures from occurring.