Why This Role Stands Out
This hybrid role offers a fantastic opportunity to leverage your mainframe expertise in capacity planning and data analysis, contributing to critical infrastructure management. You'll thrive here if you possess strong SAS skills and a knack for descriptive statistics, with the flexibility of a hybrid work model in Dallas. This is an excellent chance to grow your career within a dynamic technology environment.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Coppell, TX, United States
Posted
1 week ago
Job Description
Hybrid onsite at Dallas, TX, 75019
Contract to Hire role
Position Summary:
The Senior Capacity Planning Engineer for Mainframe works directly with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity. The successful candidate will collect, process and validate system resource data along with business volume data for future analysis using sound data science principles. One should have a basic understanding of Mainframe while knowledgeable of sources and tools used to collect, validate, then process required system data. One should have a solid background in descriptive statistics to extrapolate insight from large quantities of raw data using SAS software on the mainframe and in distributed environments.
Specific Responsibilities
EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
Contract to Hire role
Position Summary:
The Senior Capacity Planning Engineer for Mainframe works directly with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity. The successful candidate will collect, process and validate system resource data along with business volume data for future analysis using sound data science principles. One should have a basic understanding of Mainframe while knowledgeable of sources and tools used to collect, validate, then process required system data. One should have a solid background in descriptive statistics to extrapolate insight from large quantities of raw data using SAS software on the mainframe and in distributed environments.
Specific Responsibilities
- Mainframe capacity planning
- Run and validate the Data Collection and Reporting process using scheduling software.
- Design basic reports using SAS
- Build and Edit JCL in ISPF
- Creating / Updating policies, job aids and other documentation
- MICS/MXG support and maintenance
- Learn MICS/MXG Database Architecture
- Diagnose MICS related errors.
- Able to execute and validate MICS administrative tasks to maintain proper maintenance.
- Data analysis - Descriptive Statistics
- Basic methods to Summarize Data
- Display data in an organized manner.
- Able to identify, describe patterns and relationships.
- Business volumes and other reporting
- Collection and reporting of business volume data from varied sources.
- Risk assessments of extreme market conditions for selected business streams
- Produce/update a Business Process Requirements document for selected business streams.
- Management / Regulatory / Audit
- Organize and store Capacity Planning artifacts in their proper location for future retrieval.
- Ad hoc report development for senior business and management forums
- Mitigates risk by following established procedures and monitoring controls, spotting key errors and demonstrating strong ethical behavior.
- Minimum of 5 years of related experience
- Bachelor's degree in a mathematics / statistics discipline preferred or equivalent work experience
- Specific Skills & Technologies
- SAS experience required.
- Understanding of mainframe technology and components
- MICS/MXG experience essential.
- Familiarity with mainframe capacity / performance data (SMF, RMF, CICS, DB2, MQ)
EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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