Technical & Professional Skills
· Mainframe Architecture: Deep understanding of IBM constructs (LPARs, SYSPLEX, CECs, regions, address spaces, WLM, batch/online processing).
· Performance Datasets: Hands-on experience analyzing raw SMF, RMF, CICS, DB2, and workload activity data.
· Consumption Metrics: Expertise in analyzing CPU, MIPS, Rolling 4-Hour Average (R4HA), peaks, and transaction volumes.
· Advanced Analytics: Highly proficient in advanced SQL and hands-on large-scale data analysis/reporting within Snowflake.
· Data Synthesis: Proven ability to integrate disparate operational data sources to build KPIs and trend-analysis models.
· Domain Background: Prior experience in Mainframe Operations, Capacity Management, Performance Engineering, or Production Support.
· Business Translation: Exceptional skills in translating complex technical data into high-level business and modernization insights.
Nice-to-Have Skills
· Data Visualization & Storytelling: Experience building enterprise dashboards (e.g., Power BI, BusinessObjects) that translate complex mainframe metrics into compelling, executive-level reduction narratives.
· Advanced Systems Analysis: Strong capability in requirements gathering, data mapping, operational dependency analysis, and structured technical documentation.
· Cross-Functional Alignment: Proven ability to collaborate across infrastructure, architecture, and modernization teams to align technical data with overarching strategic objectives.
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