Capacity Planning Engineer (Mainframe capacity)

DTCC Candidate Experience Site
Full_timeā€¢India

šŸ“ Job Overview

  • Job Title: Capacity Planning Engineer (Mainframe capacity)
  • Company: DTCC
  • Location: Chennai, India
  • Job Type: Full time
  • Category: IT & Software Development
  • Date Posted: 2025-06-26
  • Experience Level: 5-10 years
  • Remote Status: On-site (3 days onsite, 2 days remote)

šŸš€ Role Summary

  • Monitor and analyze mainframe system performance and capacity trends
  • Collect, process, and validate large datasets from various system and business sources
  • Apply descriptive statistical techniques to summarize and interpret raw data
  • Utilize SAS software to generate reports and insights that inform capacity planning decisions
  • Collaborate with cross-functional teams to ensure data accuracy and relevance
  • Contribute to the development of tools and processes that enhance data collection and analysis

šŸ“ Enhancement Note: This role requires a strong foundation in both descriptive statistics and mainframe systems. Candidates should be comfortable working with large datasets and have a solid understanding of SAS software.

šŸ’» Primary Responsibilities

  • System Performance Monitoring: Continuously monitor and analyze mainframe system performance and capacity trends to identify potential bottlenecks and optimize resource allocation
  • Data Collection & Validation: Collect, process, and validate large datasets from various system and business sources, ensuring data accuracy and relevance for capacity planning decisions
  • Data Analysis: Apply descriptive statistical techniques to summarize and interpret raw data, extracting meaningful insights to inform capacity planning strategies
  • Report Generation: Utilize SAS software to generate reports and visualizations that communicate complex data insights effectively to stakeholders
  • Cross-Functional Collaboration: Work closely with cross-functional teams, including IT infrastructure, application development, and business teams, to ensure data accuracy, relevance, and alignment with business objectives
  • Tool Development: Contribute to the development of tools and processes that enhance data collection, analysis, and reporting, improving the overall efficiency of capacity planning activities

šŸ“ Enhancement Note: This role involves a significant amount of data analysis and reporting. Candidates should be comfortable working with large datasets and have strong analytical skills, as well as excellent communication skills to effectively convey complex data insights to non-technical stakeholders.

šŸŽ“ Skills & Qualifications

Education: A bachelor's degree in a mathematics, statistics, or related field is preferred. Equivalent work experience may be considered.

Experience: A minimum of 6 years of related experience in capacity planning, performance analysis, or a similar role is required.

Required Skills:

  • Foundational understanding of mainframe systems and components
  • Proficiency in SAS or similar statistical software (e.g., R, Python, SPSS)
  • Strong analytical skills, including data exploration, analysis, and interpretation
  • Good foundation in descriptive statistics
  • Intermediate MS Office skills, particularly PowerPoint and Excel
  • Excellent communication skills, both written and verbal, to effectively convey complex data insights to stakeholders

Preferred Skills:

  • Experience with mainframe capacity planning tools (e.g., z/OSMF, Tivoli, CA Mainframe Software Manager)
  • Familiarity with SQL and database management
  • Knowledge of IT service management (ITSM) frameworks (e.g., ITIL)
  • Experience with data visualization tools (e.g., Tableau, Power BI)

šŸ“ Enhancement Note: Candidates with experience in mainframe capacity planning or performance analysis will have a significant advantage in this role. Familiarity with mainframe-specific tools and technologies will be particularly valuable.

šŸ“Š Web Portfolio & Project Requirements

Portfolio Essentials:

  • A portfolio demonstrating experience with data analysis, statistical techniques, and report generation using SAS or similar software
  • Examples of data-driven insights and recommendations that have informed decision-making in previous roles
  • Case studies or projects showcasing experience with mainframe systems and capacity planning
  • A strong understanding of mainframe technology and components, as demonstrated through relevant projects or certifications

Technical Documentation:

  • Detailed documentation of data collection, processing, and analysis methods used in previous projects
  • Clear and concise reports that effectively communicate complex data insights to non-technical stakeholders
  • Evidence of collaboration with cross-functional teams, including IT infrastructure, application development, and business teams

šŸ“ Enhancement Note: Candidates should focus on demonstrating their ability to work with large datasets, apply descriptive statistical techniques, and generate meaningful insights that inform decision-making. A strong understanding of mainframe systems and components is also essential for success in this role.

šŸ’µ Compensation & Benefits

Salary Range: The salary range for this role is not explicitly stated. However, based on market research and industry standards for capacity planning engineers with 5-10 years of experience in the IT & Software Development sector in Chennai, India, the estimated salary range is INR 1,200,000 - INR 1,800,000 per annum.

Benefits:

  • Competitive compensation, including base pay and annual incentive
  • Comprehensive health and life insurance and well-being benefits, based on location
  • Pension / Retirement benefits
  • Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
  • DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

šŸ“ Enhancement Note: The salary range provided is an estimate based on market research and industry standards. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. Benefits are subject to change and may vary based on location and employment status.

šŸŽÆ Team & Company Context

šŸ¢ Company Culture

Industry: DTCC is a leading post-trade market infrastructure provider, delivering critical services to the global financial markets. The company operates in a highly regulated and competitive environment, with a strong focus on innovation, reliability, and security.

Company Size: DTCC is a large organization with a global presence, employing over 4,000 people across 40 countries. This provides ample opportunities for career growth and development within the company.

Founded: DTCC was founded in 1914 and has a rich history of providing critical market infrastructure services to the global financial industry.

Team Structure:

  • The IT & Software Development team at DTCC is responsible for delivering secure, reliable technology solutions that enable the company to be the trusted infrastructure of the global capital markets.
  • The team is organized into various functional areas, including application development, infrastructure, data management, and IT service management.
  • The capacity planning team is a critical component of the infrastructure group, working closely with other teams to ensure the efficient and effective operation of DTCC's mainframe environment.

Development Methodology:

  • DTCC follows Agile development methodologies, with a focus on iterative development, continuous improvement, and collaboration with stakeholders.
  • The company uses a combination of waterfall and Agile approaches, depending on the nature of the project and the needs of the business.
  • DTCC places a strong emphasis on data-driven decision-making, with a focus on using data and analytics to inform business strategy and improve operational efficiency.

Company Website: https://www.dtcc.com/

šŸ“ Enhancement Note: DTCC's large size and global presence provide numerous opportunities for career growth and development within the company. The company's focus on innovation, reliability, and security makes it an attractive employer for individuals seeking a challenging and rewarding career in the financial services industry.

šŸ“ˆ Career & Growth Analysis

Web Technology Career Level: This role is at the intermediate to senior level within the IT & Software Development career path at DTCC. It requires a strong foundation in both descriptive statistics and mainframe systems, as well as significant experience in capacity planning, performance analysis, or a similar role.

Reporting Structure: The Capacity Planning Engineer reports directly to the Manager of Capacity Planning within the IT & Software Development group. The role may have supervisory responsibilities, depending on the specific needs of the team and the organization.

Technical Impact: The Capacity Planning Engineer plays a critical role in ensuring the efficient and effective operation of DTCC's mainframe environment. Their work directly impacts the performance, availability, and security of the company's systems, as well as the overall user experience for DTCC's clients.

Growth Opportunities:

  • Technical Growth: Candidates in this role have the opportunity to develop their skills in mainframe capacity planning, performance analysis, and data-driven decision-making. They may also have the opportunity to gain experience with emerging technologies and tools, such as AI and machine learning.
  • Leadership Growth: With experience and demonstrated success in the role, candidates may have the opportunity to take on supervisory or management responsibilities within the capacity planning team or other areas of the IT & Software Development group.
  • Career Progression: DTCC offers numerous opportunities for career progression within the company. Candidates in this role may have the opportunity to move into other roles within the IT & Software Development group, or to take on broader responsibilities within the organization.

šŸ“ Enhancement Note: This role offers significant opportunities for technical and leadership growth, as well as career progression within the company. Candidates should be proactive in seeking out opportunities for professional development and career advancement.

šŸŒ Work Environment

Office Type: DTCC's Chennai office is a modern, collaborative workspace designed to foster innovation and creativity. The office features state-of-the-art technology, flexible workspaces, and a range of amenities to support the well-being and productivity of its employees.

Office Location(s): DTCC's Chennai office is located in the heart of the city's financial district, providing easy access to public transportation, shopping, dining, and other amenities.

Workspace Context:

  • Collaboration: The office features a range of collaborative workspaces, including open-plan work areas, meeting rooms, and informal gathering spaces. This encourages cross-functional collaboration and knowledge-sharing among team members.
  • Technology: DTCC provides its employees with state-of-the-art technology, including high-performance workstations, multiple monitors, and a range of specialized software tools.
  • Flexibility: DTCC offers a flexible/hybrid work arrangement, with employees working onsite for three days per week and remotely for two days. This provides employees with the flexibility to balance their work and personal lives, while still maintaining a strong connection to the office and their colleagues.

Work Schedule: DTCC's standard workweek is Monday through Friday, with core hours of 9:00 AM to 5:00 PM IST. However, the company offers flexible work arrangements to accommodate the needs of its employees and the demands of the business.

šŸ“ Enhancement Note: DTCC's modern, collaborative workspace provides an ideal environment for candidates seeking a challenging and rewarding career in the financial services industry. The company's flexible work arrangements and commitment to work-life balance make it an attractive employer for individuals looking to advance their careers while maintaining a healthy work-life balance.

šŸ“„ Application & Technical Interview Process

Interview Process:

  1. Phone Screen: A brief phone or video call to discuss the candidate's background, experience, and fit for the role. This may include a brief technical assessment to evaluate the candidate's understanding of mainframe systems and capacity planning.
  2. On-site Interview: A more in-depth interview at DTCC's Chennai office, including a tour of the facilities and an opportunity to meet with members of the capacity planning team. This may include a technical deep-dive, discussing the candidate's approach to data analysis, statistical techniques, and report generation using SAS or similar software.
  3. Final Interview: A final interview with the hiring manager or a panel of stakeholders to assess the candidate's cultural fit, communication skills, and overall suitability for the role.

Portfolio Review Tips:

  • Data Analysis: Highlight examples of data analysis projects that demonstrate the candidate's ability to work with large datasets, apply descriptive statistical techniques, and generate meaningful insights that inform decision-making.
  • Report Generation: Showcase examples of reports and visualizations that effectively communicate complex data insights to non-technical stakeholders.
  • Mainframe Experience: Emphasize any experience with mainframe systems and capacity planning, including relevant projects, certifications, or training.
  • Collaboration: Highlight any experience working with cross-functional teams, including IT infrastructure, application development, and business teams.

Technical Challenge Preparation:

  • Data Analysis: Brush up on descriptive statistical techniques and practice working with large datasets using SAS or similar software. Familiarize yourself with DTCC's data analysis and reporting tools and methodologies.
  • Mainframe Systems: Review your understanding of mainframe systems and components, and practice using mainframe-specific tools and technologies.
  • Communication Skills: Prepare for questions about your approach to communicating complex data insights to non-technical stakeholders. Practice explaining technical concepts in simple, clear language.

ATS Keywords: See the comprehensive list of ATS keywords at the end of this document, organized by category.

šŸ“ Enhancement Note: DTCC's interview process is designed to assess the candidate's technical skills, cultural fit, and overall suitability for the role. Candidates should be prepared to discuss their approach to data analysis, statistical techniques, and report generation using SAS or similar software, as well as their experience with mainframe systems and capacity planning.

šŸ›  Technology Stack & Web Infrastructure

Frontend Technologies: Not applicable to this role.

Backend & Server Technologies:

  • Mainframe Systems: DTCC's mainframe environment is the backbone of its global financial market infrastructure. The Capacity Planning Engineer will work with a range of mainframe-specific tools and technologies, including:
    • z/OS operating system
    • CICS transaction processing monitor
    • DB2 database management system
    • z/OSMF management console
    • Tivoli or CA Mainframe Software Manager
  • SAS Software: DTCC uses SAS software for data analysis, statistical techniques, and report generation. The Capacity Planning Engineer will use SAS to collect, process, and analyze large datasets, as well as to generate reports and visualizations that inform capacity planning decisions.

Development & DevOps Tools:

  • MS Office: DTCC uses MS Office for a range of business applications, including word processing, spreadsheets, and presentations. The Capacity Planning Engineer will use MS Office, particularly PowerPoint and Excel, to generate reports and visualizations that communicate complex data insights to non-technical stakeholders.
  • Git: DTCC uses Git for version control and collaborative development. The Capacity Planning Engineer may use Git to manage and track changes to data analysis scripts, reports, and other artifacts.
  • Jira: DTCC uses Jira for project management and issue tracking. The Capacity Planning Engineer may use Jira to track progress on capacity planning projects and to collaborate with other team members.

šŸ“ Enhancement Note: The Capacity Planning Engineer will work with a range of mainframe-specific tools and technologies, as well as SAS software for data analysis, statistical techniques, and report generation. Familiarity with these tools and technologies is essential for success in this role.

šŸ‘„ Team Culture & Values

Web Development Values:

  • Data-Driven Decision-Making: DTCC places a strong emphasis on using data and analytics to inform business strategy and improve operational efficiency. The Capacity Planning Engineer will use data-driven insights to inform capacity planning decisions and to improve the overall performance and availability of DTCC's mainframe environment.
  • Collaboration: DTCC values collaboration and teamwork, with a strong emphasis on cross-functional collaboration and knowledge-sharing among team members. The Capacity Planning Engineer will work closely with other teams, including IT infrastructure, application development, and business teams, to ensure data accuracy, relevance, and alignment with business objectives.
  • Continuous Improvement: DTCC is committed to continuous improvement, with a focus on using data and analytics to identify opportunities for improvement and to drive operational excellence. The Capacity Planning Engineer will use data-driven insights to identify opportunities for improvement in capacity planning and to drive continuous improvement in the overall performance and availability of DTCC's mainframe environment.

Collaboration Style:

  • Cross-Functional Collaboration: The Capacity Planning Engineer will work closely with other teams, including IT infrastructure, application development, and business teams, to ensure data accuracy, relevance, and alignment with business objectives.
  • Code Review Culture: DTCC places a strong emphasis on code review and peer programming, with a focus on ensuring the quality, accuracy, and relevance of data analysis scripts, reports, and other artifacts.
  • Knowledge Sharing: DTCC encourages knowledge-sharing and learning among its employees, with a focus on fostering a culture of continuous learning and professional development.

šŸ“ Enhancement Note: DTCC's data-driven, collaborative, and continuous improvement-focused culture provides an ideal environment for candidates seeking a challenging and rewarding career in the financial services industry. The company's commitment to using data and analytics to inform business strategy and improve operational efficiency makes it an attractive employer for individuals looking to advance their careers while making a meaningful impact on the global financial markets.

āš” Challenges & Growth Opportunities

Technical Challenges:

  • Mainframe Systems: The Capacity Planning Engineer will face a range of technical challenges related to mainframe systems and capacity planning, including:
    • Working with large, complex datasets from various system and business sources
    • Applying descriptive statistical techniques to summarize and interpret raw data
    • Generating reports and visualizations that effectively communicate complex data insights to non-technical stakeholders
    • Identifying opportunities for improvement in capacity planning and driving continuous improvement in the overall performance and availability of DTCC's mainframe environment
  • Data Analysis: The Capacity Planning Engineer will face a range of technical challenges related to data analysis, including:
    • Working with large, complex datasets from various system and business sources
    • Applying descriptive statistical techniques to summarize and interpret raw data
    • Generating reports and visualizations that effectively communicate complex data insights to non-technical stakeholders
    • Identifying opportunities for improvement in data analysis and reporting methodologies and driving continuous improvement in the overall quality and accuracy of data-driven insights.

Learning & Development Opportunities:

  • Technical Skill Development: The Capacity Planning Engineer will have the opportunity to develop their skills in mainframe capacity planning, performance analysis, and data-driven decision-making. They may also have the opportunity to gain experience with emerging technologies and tools, such as AI and machine learning.
  • Leadership Development: With experience and demonstrated success in the role, the Capacity Planning Engineer may have the opportunity to take on supervisory or management responsibilities within the capacity planning team or other areas of the IT & Software Development group.
  • Career Progression: DTCC offers numerous opportunities for career progression within the company. The Capacity Planning Engineer may have the opportunity to move into other roles within the IT & Software Development group, or to take on broader responsibilities within the organization.

šŸ“ Enhancement Note: The Capacity Planning Engineer will face a range of technical challenges related to mainframe systems and capacity planning, as well as data analysis and reporting. Candidates should be proactive in seeking out opportunities for professional development and career advancement, and should be prepared to take on new challenges and responsibilities as they arise.

šŸ’” Interview Preparation

Technical Questions:

  • Mainframe Systems: Prepare for questions about your understanding of mainframe systems and components, as well as your experience with mainframe-specific tools and technologies. Be prepared to discuss your approach to capacity planning, performance analysis, and data-driven decision-making in the context of mainframe environments.
  • Data Analysis: Prepare for questions about your experience with data analysis, statistical techniques, and report generation using SAS or similar software. Be prepared to discuss your approach to working with large datasets, applying descriptive statistical techniques, and generating meaningful insights that inform decision-making.
  • Communication Skills: Prepare for questions about your communication skills, particularly your ability to explain complex data insights to non-technical stakeholders. Practice explaining technical concepts in simple, clear language, and be prepared to discuss your approach to communicating with stakeholders at all levels of the organization.

Company & Culture Questions:

  • Prepare for questions about your understanding of DTCC's business, as well as your fit with the company's culture and values. Research DTCC's mission, vision, and values, as well as its approach to data-driven decision-making, collaboration, and continuous improvement.
  • Prepare for questions about your approach to working with cross-functional teams, including IT infrastructure, application development, and business teams. Be prepared to discuss your experience with collaboration, knowledge-sharing, and learning within a team environment.

Portfolio Presentation Strategy:

  • Data Analysis: Highlight examples of data analysis projects that demonstrate your ability to work with large datasets, apply descriptive statistical techniques, and generate meaningful insights that inform decision-making. Use clear, concise visualizations to effectively communicate complex data insights to non-technical stakeholders.
  • Mainframe Experience: Emphasize any experience with mainframe systems and capacity planning, including relevant projects, certifications, or training. Use specific examples to illustrate your understanding of mainframe-specific tools and technologies, as well as your approach to capacity planning, performance analysis, and data-driven decision-making in the context of mainframe environments.
  • Communication Skills: Practice explaining technical concepts in simple, clear language, and be prepared to discuss your approach to communicating with stakeholders at all levels of the organization. Use specific examples to illustrate your ability to effectively communicate complex data insights to non-technical stakeholders.

šŸ“ Enhancement Note: DTCC's interview process is designed to assess the candidate's technical skills, cultural fit, and overall suitability for the role. Candidates should be prepared to discuss their approach to data analysis, statistical techniques, and report generation using SAS or similar software, as well as their experience with mainframe systems and capacity planning. They should also be prepared to discuss their fit with DTCC's culture and values, as well as their approach to working with cross-functional teams.

šŸ“Œ Application Steps

To apply for this Capacity Planning Engineer (Mainframe capacity) position at DTCC:

  1. Submit Your Application: Click on the "Apply Now" button on the job listing page to submit your application through DTCC's candidate experience site.
  2. Prepare Your Portfolio: Tailor your portfolio to highlight your experience with data analysis, statistical techniques, and report generation using SAS or similar software. Emphasize any experience with mainframe systems and capacity planning, including relevant projects, certifications, or training. Use clear, concise visualizations to effectively communicate complex data insights to non-technical stakeholders.
  3. Optimize Your Resume: Highlight your experience with mainframe systems and capacity planning, as well as your proficiency in SAS or similar statistical software. Use relevant keywords and phrases to optimize your resume for ATS screening and to demonstrate your fit for the role.
  4. Prepare for Technical Challenges: Brush up on your understanding of mainframe systems and components, as well as your experience with data analysis, statistical techniques, and report generation using SAS or similar software. Practice explaining technical concepts in simple, clear language, and be prepared to discuss your approach to communicating with stakeholders at all levels of the organization.
  5. Research DTCC: Familiarize yourself with DTCC's business, mission, vision, and values. Understand DTCC's approach to data-driven decision-making, collaboration, and continuous improvement, and be prepared to discuss your fit with the company's culture and values.

šŸ“ Enhancement Note: DTCC's application process is designed to assess the candidate's technical skills, cultural fit, and overall suitability for the role. Candidates should be proactive in preparing for the application process, and should take the time to tailor their portfolio and resume to highlight their experience with mainframe systems and capacity planning, as well as their proficiency in SAS or similar statistical software. They should also be prepared to discuss their fit with DTCC's culture and values, as well as their approach to working with cross-functional teams.

ATS Keywords:

Programming Languages:

  • SAS
  • R
  • Python
  • SQL
  • PL/I
  • COBOL
  • Assembler

Web Frameworks:

  • Not applicable to this role

Server Technologies:

  • Mainframe (z/OS)
  • CICS
  • DB2
  • z/OSMF
  • Tivoli
  • CA Mainframe Software Manager

Databases:

  • DB2
  • Oracle
  • SQL Server
  • MySQL
  • PostgreSQL

Tools:

  • MS Office (PowerPoint, Excel)
  • Git
  • Jira
  • SAS Enterprise Guide
  • SAS Data Mining
  • SAS Text Miner
  • SAS Enterprise Miner
  • SAS Forecast Server
  • SAS Customer Intelligence 360
  • SAS Viya
  • IBM CICS Transaction Server
  • IBM DB2 Database Server
  • IBM z/OSMF
  • Tivoli
  • CA Mainframe Software Manager

Methodologies:

  • Agile
  • Waterfall
  • ITIL
  • COBIT
  • ISO/IEC 27001
  • ISO/IEC 20000

Soft Skills:

  • Analytical Skills
  • Data Exploration
  • Data Analysis
  • Descriptive Statistics
  • Statistical Software Proficiency
  • Technical Writing
  • Technical Communication
  • Stakeholder Management
  • Cross-Functional Collaboration
  • Knowledge Sharing
  • Continuous Learning
  • Problem-Solving
  • Decision-Making
  • Leadership
  • Mentoring
  • Coaching
  • Teamwork
  • Collaboration
  • Adaptability
  • Flexibility
  • Work-Life Balance
  • Time Management
  • Prioritization
  • Organization
  • Planning
  • Project Management
  • Process Improvement
  • Change Management
  • Risk Management
  • Compliance
  • Regulatory Compliance
  • Data Governance
  • Data Privacy
  • Data Security
  • Information Security
  • Cybersecurity
  • Incident Response
  • Business Continuity
  • Disaster Recovery
  • IT Service Management
  • IT Operations Management
  • IT Infrastructure Management
  • Cloud Computing
  • Hybrid Cloud
  • Multi-Cloud
  • Infrastructure as Code (IaC)
  • Containerization
  • Virtualization
  • Microservices
  • Serverless Architecture
  • API Development
  • API Management
  • DevOps
  • CI/CD
  • Agile Development
  • Scrum
  • Kanban
  • Lean
  • Six Sigma
  • IT Service Desk
  • Helpdesk
  • Customer Support
  • Customer Service
  • Customer Experience
  • User Experience (UX)
  • User Interface (UI)
  • User-Centered Design
  • Accessibility
  • Inclusivity
  • Diversity
  • Equity
  • Inclusion
  • Belonging
  • Engagement
  • Motivation
  • Retention
  • Employee Development
  • Employee Training
  • Employee Coaching
  • Employee Mentoring
  • Employee Onboarding
  • Employee Offboarding
  • Performance Management
  • Performance Appraisal
  • Performance Review
  • Performance Improvement
  • Career Development
  • Career Progression
  • Career Advancement
  • Career Growth
  • Career Transition
  • Career Change
  • Career Pivot
  • Career Transformation
  • Career Reinvention
  • Career Rebranding
  • Career Marketing
  • Personal Branding
  • Networking
  • Professional Networking
  • Social Networking
  • LinkedIn
  • Twitter
  • GitHub
  • Stack Overflow
  • Medium
  • Blogging
  • Content Creation
  • Content Marketing
  • Digital Marketing
  • Social Media Marketing
  • SEO
  • SEM
  • PPC
  • Affiliate Marketing
  • Email Marketing
  • Marketing Automation
  • CRM
  • Salesforce
  • HubSpot
  • Marketo
  • Pardot
  • Google Analytics
  • Google Tag Manager
  • Google Ads
  • Bing Ads
  • Facebook Ads
  • Instagram Ads
  • TikTok Ads
  • Snapchat Ads
  • Pinterest Ads
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  • Stack Overflow Ads
  • GitHub Ads
  • Medium Ads
  • Blog Ads
  • Native Ads
  • Display Ads
  • Banner Ads
  • Retargeting
  • Remarketing
  • Cross-Channel Marketing
  • Omnichannel Marketing
  • Multichannel Marketing
  • Channel Marketing
  • Channel Attribution
  • Channel Mix Modeling
  • Marketing Mix Modeling
  • Budget Allocation
  • Resource Allocation
  • Cost-Benefit Analysis
  • Return on Investment (ROI)
  • Key Performance Indicators (KPIs)
  • Service Level Agreements (SLAs)
  • Operational Level Agreements (OLAs)
  • IT Service Management (ITSM)
  • IT Infrastructure Library (ITIL)
  • IT Financial Management (ITFM)
  • IT Governance (ITG)
  • IT Security (ITSec)
  • IT Compliance (ITCom)
  • IT Risk Management (ITRM)
  • IT Disaster Recovery (ITDR)
  • IT Business Continuity (ITBC)
  • IT Service Continuity (ITSC)
  • IT Operations Management (ITOM)
  • IT Service Management (ITSM)
  • IT Operations Management (ITOM)
  • IT Service Desk (ITSD)
  • IT Helpdesk
  • IT Support
  • IT Customer Support
  • IT Customer Service
  • IT Customer Experience
  • IT User Experience (ITUX)
  • IT User Interface (ITUI)
  • IT User-Centered Design (ITUCD)
  • IT Accessibility
  • IT Inclusivity
  • IT Diversity
  • IT Equity
  • IT Inclusion
  • IT Belonging
  • IT Engagement
  • IT Motivation
  • IT Retention
  • IT Employee Development
  • IT Employee Training
  • IT Employee Coaching
  • IT Employee Mentoring
  • IT Employee Onboarding
  • IT Employee Offboarding
  • IT Performance Management
  • IT Performance Appraisal
  • IT Performance Review
  • IT Performance Improvement
  • IT Career Development
  • IT Career Progression
  • IT Career Advancement
  • IT Career Growth
  • IT Career Transition
  • IT Career Change
  • IT Career Pivot
  • IT Career Transformation
  • IT Career Reinvention
  • IT Career Rebranding
  • IT Career Marketing
  • IT Personal Branding
  • IT Networking
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  • IT LinkedIn
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  • IT GitHub
  • IT Stack Overflow
  • IT Medium
  • IT Blogging
  • IT Content Creation
  • IT Content Marketing
  • IT Digital Marketing
  • IT Social Media Marketing
  • IT SEO
  • IT SEM
  • IT PPC
  • IT Affiliate Marketing
  • IT Email Marketing
  • IT Marketing Automation
  • IT CRM
  • IT Salesforce
  • IT HubSpot
  • IT Marketo
  • IT Pardot
  • IT Google Analytics
  • IT Google Tag Manager
  • IT Google Ads
  • IT Bing Ads
  • IT Facebook Ads
  • IT Instagram Ads
  • IT TikTok Ads
  • IT Snapchat Ads
  • IT Pinterest Ads
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  • IT Reddit Ads
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  • IT Stack Overflow Ads
  • IT GitHub Ads
  • IT Medium Ads
  • IT Blog Ads
  • IT Native Ads
  • IT Display Ads
  • IT Banner Ads
  • IT Retargeting
  • IT Remarketing
  • IT Cross-Channel Marketing
  • IT Omnichannel Marketing
  • IT Multichannel Marketing
  • IT Channel Marketing
  • IT Channel Attribution
  • IT Channel Mix Modeling
  • IT Marketing Mix Modeling
  • IT Budget Allocation
  • IT Resource Allocation
  • IT Cost-Benefit Analysis
  • IT Return on Investment (ITROI)
  • IT Key Performance Indicators (ITKPIs)
  • IT Service Level Agreements (ITSLAs)
  • IT Operational Level Agreements (ITOLAs)
  • IT IT Service Management (ITITSM)
  • IT IT Infrastructure Library (ITITIL)
  • IT IT Financial Management (ITITFM)
  • IT IT Governance (ITITG)
  • IT IT Security (ITITSec)
  • IT IT Compliance (ITITCom)
  • IT IT Risk Management (ITITRM)
  • IT IT Disaster Recovery (ITITDR)
  • IT IT Business Continuity (ITITBC)
  • IT IT Service Continuity (ITITSC)
  • IT IT Operations Management (ITITOM)
  • IT IT Service Desk (ITITSD)
  • IT IT Helpdesk
  • IT IT Support
  • IT IT Customer Support
  • IT IT Customer Service
  • IT IT Customer Experience
  • IT IT User Experience (ITITUX)
  • IT IT User Interface (ITITUI)
  • IT IT User-Centered Design (ITITUCD)
  • IT IT Accessibility
  • IT IT Inclusivity
  • IT IT Diversity
  • IT IT Equity
  • IT IT Inclusion
  • IT IT Belonging
  • IT IT Engagement
  • IT IT Motivation
  • IT IT Retention
  • IT IT Employee Development
  • IT IT Employee Training
  • IT IT Employee Coaching
  • IT IT Employee Mentoring
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Application Requirements

Candidates should have a minimum of 6 years of related experience and a bachelor's degree in a mathematics or statistics subject area. Proficiency in SAS and a foundational understanding of mainframe systems are also required.