Mainframe Capacity Planning Engineer

Collect system resource data and business volume data for analysis using sound data science principles, including descriptive and inferential statistics, correlation analysis, and ARIMA forecasts. Measure system resource usage for all LPARs, generate monthly capacity reports with top-N lists and peak profiles, and ensure daily processing and reporting for 30 different MICS units split by LPAR and work type. Apply MICS maintenance to support new processors, z/OS operating systems, and general updates while addressing ad-hoc reporting inquiries. Requires strong mathematics background, SAS proficiency on mainframe and distributed environments, and 8 years of experience. Candidates must start onsite from Day 1 following a hybrid work option (2 days in office) and be local to Dallas, Tampa, Boston, McClean, VA, or Jersey City. This contract-to-hire role is within the Financial Services industry.