Capacity Planning Engineer (Mainframe capacity)

Are you prepared to have a significant impact at DTCC Are you eager to contribute to innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development At DTCC, we are pioneering innovation in the financial markets. We are dedicated to supporting the growth and success of our employees. We trust in your skills and determination to create a tangible impact. We nurture a thriving internal community and are dedicated to building a workplace that mirrors the diversity of the world we serve. The Information Technology group at DTCC delivers secure and reliable technology solutions that empower DTCC to serve as the trusted infrastructure of the global capital markets. The team ensures the delivery of high-quality information by engaging in activities such as developing essential solutions, constructing infrastructure capabilities to meet client requirements, and implementing data standards and governance protocols. DTCC offers a comprehensive package of health, life insurance, and well-being benefits tailored to specific locations. Additionally, employees can benefit from pension/retirement options, paid time off, personal/family care, and other leave options that support physical, financial, and emotional well-being. DTCC also provides a flexible/hybrid work model of 3 days onsite and 2 days remote, with onsite presence required on Tuesdays, Wednesdays, and a third day customized for each team or employee. In this role, as a Capacity Planning Engineer for Mainframe at DTCC, you will collaborate with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity. Your responsibilities will include collecting, processing, and validating system resource data and business volume data for future analysis using data science principles. You must possess a fundamental understanding of Mainframe technology, be familiar with sources and tools used for data collection, validation, and processing, and have a strong background in descriptive statistics to derive insights from raw data using SAS software in mainframe and distributed environments. Your primary responsibilities will involve monitoring and analyzing mainframe system performance and capacity trends, collecting, processing, and validating large datasets from various sources, applying descriptive statistical techniques to interpret raw data, utilizing SAS software to generate reports and insights for capacity planning decisions, collaborating with cross-functional teams to ensure data accuracy and relevance, and contributing to the development of tools and processes that enhance data collection and analysis. Qualifications for this role include a minimum of 6 years of related experience, a Bachelor's degree in a mathematics/statistics subject area preferred, or equivalent work experience. Key talents needed for success in this role include a foundational understanding of mainframe systems, proficiency in SAS or similar statistical software, MS Office skills with a focus on intermediate PowerPoint and Excel proficiency, excellent analytical skills encompassing data exploration and analysis, a strong foundation in Descriptive Statistics, and an understanding of mainframe technology and components.,