Sr Scheduler Application Specialist

Job Title: Sr Scheduler Application Specialist/Sr Data Analyst Job Location: 100% remote (Cedar Rapids, Iowa, 52401 or Madison Wisconsin) Duration: 2+ Months (High Chance of extension) Payrate: $52/hr on W2 We are seeking a detail-oriented Scheduler Application Specialist to support the validation and testing of job scheduling workflows following the migration from Tidal to Control-M. This role is critical in ensuring that all migrated schedules function correctly and reliably in the new Control-M environment. The ideal candidate will have extensive experience in both Control-M and Tidal, with a strong focus on testing, troubleshooting, and validating batch job executions. Key Responsibilities • Test and validate migrated job schedules from Tidal to Control-M. • Collaborate with application and infrastructure teams to identify and resolve discrepancies in job execution. • Develop and execute test plans and scripts to ensure accurate workflow functionality. • Monitor job execution and analyze logs to confirm successful completion and error handling. • Document test results, issues, and resolutions for audit and compliance purposes. • Support integration testing and user acceptance testing (UAT) for scheduling workflows. • Provide feedback and recommendations for improving scheduling reliability and performance. • Assist in troubleshooting and resolving scheduling-related incidents during the migration process. Required Qualifications • Bachelor’s degree in Computer Science, Information Systems, or related field. • 5+ years of experience with Control-M and/or Tidal job scheduling systems. • Proven experience in testing and validating batch job workflows. • Strong analytical skills and attention to detail. • Excellent communication and documentation skills. • Ability to work independently and manage multiple testing priorities. Preferred Qualifications • Experience with Control M and Tidal scheduling tools. • Knowledge of ITIL practices and change management processes. • Exposure to cloud environments (AWS, Azure) and hybrid scheduling models. Apply tot his job