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  1. Job Roles
  2. >
  3. Computer Systems Analysts

Computer Systems Analysts

What does a professional in this career do?

Analyze science, engineering, business, and other data processing problems to develop and implement solutions to complex applications problems, system administration issues, or network concerns. Perform systems management and integration functions, improve existing computer systems, and review computer system capabilities, workflow, and schedule limitations. May analyze or recommend commercially available software.

In this job you will...

  • Troubleshoot program and system malfunctions to restore normal functioning.
  • Provide staff and users with assistance solving computer-related problems, such as malfunctions and program problems.
  • Test, maintain, and monitor computer programs and systems, including coordinating the installation of computer programs and systems.
  • Use the computer in the analysis and solution of business problems, such as development of integrated production and inventory control and cost analysis systems.
  • Coordinate and link the computer systems within an organization to increase compatibility so that information can be shared.
  • Use object-oriented programming languages, as well as client and server applications development processes and multimedia and Internet technology.
  • Analyze information processing or computation needs and plan and design computer systems, using techniques such as structured analysis, data modeling, and information engineering.
  • Consult with management to ensure agreement on system principles.
  • Specify inputs accessed by the system and plan the distribution and use of the results.
  • Expand or modify system to serve new purposes or improve work flow.
  • Train staff and users to work with computer systems and programs.
  • Assess the usefulness of pre-developed application packages and adapt them to a user environment.
  • Determine computer software or hardware needed to set up or alter systems.
  • Read manuals, periodicals, and technical reports to learn how to develop programs that meet staff and user requirements.
  • Develop, document, and revise system design procedures, test procedures, and quality standards.
  • Recommend new equipment or software packages.
  • Define the goals of the system and devise flow charts and diagrams describing logical operational steps of programs.
  • Confer with clients regarding the nature of the information processing or computation needs a computer program is to address.
  • Review and analyze computer printouts and performance indicators to locate code problems, and correct errors by correcting codes.
  • Interview or survey workers, observe job performance, or perform the job to determine what information is processed and how it is processed.
  • Supervise computer programmers or other systems analysts or serve as project leaders for particular systems projects.
  • Prepare cost-benefit and return-on-investment analyses to aid in decisions on system implementation.

Skills You Will Gain

Data Analysis
System optimization
Technical problem-solving

Representative Journeys

Foundations of Python and Data Science
Foundations of Python and Data ScienceMatt Harrison, Woody Lewenstein, Theodore Petrou | Data Science | 32 hrs and 40 mins

Launch Journey

python-foundations-tools-and-techniques
Python Foundations, Tools and Techniques
Matt HarrisonSkills: EditorsREPL
getting-started-with-pandas
Getting Started with Pandas
Matt HarrisonSkills: JupyterPandas
practical-statistics-for-business-and-data-science
Practical Statistics For Business and Data Science
Woody LewensteinSkills: Data ScienceData VisualizationProbabilityStatistics
master-data-analysis-python
Master Data Analysis with Python
Theodore PetrouSkills: Data AnalysisData SciencePandasPandas DataFramePython

Journey Completed

Become a Data Scientist
Become a Data ScientistPraba Santhanakrishnan, Pramod Gupta, Matt Harrison | Data Science | 30 hrs and 30 mins

Launch Journey

python-data-science
Introduction to Python for Data Science
Praba SanthanakrishnanSkills: Data ScienceNumPyPandasPython FundamentalsSupervised LearningUnsupervised Learning
introduction-to-data-analysis-using-r
Introduction to Data Analysis using R
Pramod GuptaSkills: Data AnalysisRR Studio
getting-started-with-pandas
Getting Started with Pandas
Matt HarrisonSkills: JupyterPandas

Journey Completed

Foundations of Artificial Intelligence and Machine Learning
Foundations of Artificial Intelligence and Machine LearningPraba Santhanakrishnan, Minerva Singh, Pramod Gupta | Data Science | 29 hrs and 35 mins

Launch Journey

python-data-science
Introduction to Python for Data Science
Praba SanthanakrishnanSkills: Data ScienceNumPyPandasPython FundamentalsSupervised LearningUnsupervised Learning
practical-artificial-intelligence-ai-with-the-pytorch-framework-in-python
Practical Artificial Intelligence (AI) With the PyTorch Framework in Python
Minerva SinghSkills: AIDeepLearningNetworksNeuralProgrammingPython
essentials-of-python-for-machine-learning-and-artificial-intelligence
Essentials of Python for Machine Learning and Artificial Intelligence
Pramod GuptaSkills: NumPySciPy

Journey Completed

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  • Applications Analyst
  • Applications Systems Analyst
  • Automatic Data Processing Planner (ADP Planner)
  • Business Systems Analyst
  • Computer Analyst
  • Computer Architect
  • Computer Consultant
  • Computer Equipment Analyst
  • Computer Methods Analyst
  • Computer Systems Analyst
  • Computer Systems Consultant
  • Computer Systems Design Analyst
  • Computer Systems Designer
  • Computer Systems Specialist
  • Cross Enterprise Integrator
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  • Data Processing Consultant
  • Data Processing Systems Analyst
  • Data Processing Systems Consultant
  • Data Processing Systems Project Planner
  • Database Analyst
  • Database Design Analyst
  • Digital Computer Systems Analyst
  • EDI Analyst (Electronic Data Exchange Analyst)
  • Electronic Transactions Implementer
  • Engineering Systems Analyst
  • ERP Consultant (Enterprise Resource Planning Consultant)
  • ERP Specialist (Enterprise Resource Planning Specialist)
  • Functional Analyst
  • Health Systems Analyst
  • Implementation Consultant
  • Information Scientist
  • Information Systems Analyst (ISA)
  • Information Systems Auditor (IS Auditor)
  • Information Systems Consultant (IS Consultant)
  • Information Systems Planner (IS Planner)
  • Information Systems Specialist (IS Specialist)
  • Internet Analyst
  • IT Analyst (Information Technology Analyst)
  • IT Auditor (Information Technology Auditor)
  • IT Business Analyst (Information Technology Business Analyst)
  • IT Consultant (Information Technology Consultant)
  • IT Performance Analyst (Information Technology Performance Analyst)
  • IT Security Analyst (Information Technology Security Analyst)
  • IT Systems Analyst (Information Technology Systems Analyst)
  • Programmer Analyst
  • Public Key Infrastructure Analyst (PKI Analyst)
  • Scientific Systems Analyst
  • Software Analyst
  • Software Consultant
  • Systems Analysis Specialist
  • Systems Analyst
  • Systems Integrator
  • Technical Analyst
  • Technical Business Analyst
  • Technical Consultant
  • Technology Analyst
  • Virus Technician (Virus Tech)
  • Vulnerability Assessment Analyst
  • Vulnerability Assessor

SOME OF THE INSTRUCTORS AND EXPERTS SUPPORTING YOU ON THESE JOURNEYS

Practical Statistics For Business and Data Science

Practical Statistics For Business and Data Science

Getting Started with Pandas

Getting Started with Pandas

Getting Started with Pandas

Getting Started with Pandas

Python Foundations, Tools and Techniques

Python Foundations, Tools and Techniques

Essentials of Python for Machine Learning and Artificial Intelligence

Essentials of Python for Machine Learning and Artificial Intelligence

Introduction to Data Analysis using R

Introduction to Data Analysis using R

Master Data Analysis with Python

Master Data Analysis with Python

Practical Artificial Intelligence (AI) With the PyTorch Framework in Python

Practical Artificial Intelligence (AI) With the PyTorch Framework in Python

Introduction to Python for Data Science

Introduction to Python for Data Science

Introduction to Python for Data Science

Introduction to Python for Data Science