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MainframeMaster in Jersey City is seeking a Senior Mainframe Capacity Analyst to oversee daily processing and reporting across multiple MICS units, LPARs, and work types.
You will apply MICS maintenance, analyze SMF/RMF data, CICS/DB2/MQ components, and produce monthly capacity reports and ad-hoc analyses for governance forums.
The role requires a decade of related experience, a math/statistics background, and strong analytical skills with SAS/MICS experience.
The Impact you will have in this role:Ensure the successful daily processing / reporting of 30 different MICS units split by LPAR and work typeExamples: SMF/RMF component, CICS, DB2, MQ, mainframe web logsApply MICS maintenance to support new processors, z/OS operating systems and general updatesAd-hoc reporting inquiries such as frequency of a specific function, transaction, or jobMonthly Mainframe Capacity Reports includingMeasurement of system resources usage for all LPARsUsage Trends, Top-N lists, Peak Profiles, Threshold Exception, etc.Prepare and Present Monthly Mainframe Capacity Planning Review meeting documentsAnnual Mainframe Capacity ReportResource usage by Application System IDAd-hoc analyses as requestedCollection and reporting of business volume data from varied sourcesResource Forecasting and monthly review of forecasts to actualsRisk assessments of extreme market conditions for selected business streamsConsultations with Capacity Stress Test team (includes reviews of their reporting)Produce/update a Business Process Requirements document for selected business streamsCorrelation Analysis, Business volume to System ResourcesPattern Recognition / Detection of outliersLinear / Logistic Regression, ARIMA forecasts, integrating projections with forecast dataAd hoc report development for senior business and management forumsQuarterly report creation for the IT Governance CommitteeProduce documentation, test results as requested by the Model Validation CommitteePolicy procedure documentation with supporting evidence for regulatory, audit bodiesEnsure the successful daily processing of multiple processing streams split by LPAR and work typeDetermine CPU and Storage usage by application system IDMonthly delivery of daily data to for chargeback processing and reportingAd-hoc inquiries regarding systems suspected of high CPU or storage consumption, to control costs
Qualifications:Minimum of 10 years of related experienceBachelor's degree in a mathematics / statistics discipline preferred or equivalent work experience