System Analyst
Job Summary
System Analysts are responsible for maintaining and improving computer systems for an organisation and its clients. This IT role is growing in popularity and demand as organisations increasingly move operations, processes and communication online. System Analysts are often required to work outside standard hours to oversee upgrades or fixes, ensuring there is minimal interruption to business as usual. A System Analyst job description should highlight the need for accuracy, logic and an ability to communicate complex ideas to others.
Responsibilities:
As a role critical to smooth operation and safe, secure computer systems, a System Analyst job description should include many of the duties and responsibilities below:
- Maintaining and upgrading existing systems as required.
- Designing new computer systems and frameworks.
- Troubleshooting technical issues.
- Risk mitigation planning.
- Collaborating with Business Analysts, Project Leads and IT team to resolve issues and ensuring solutions are viable and consistent.
- Creating system guidelines and manuals for the organisation.
- Running training sessions and workshops on system processes.
- Conducting regular reviews of systems and generating reports on efficiencies and improvement areas.
- Structuring and prioritising business requirements and communicating plans with stakeholders for review and approval.
Requirements:
A formal qualification will be important when advertising for a highly skilled System Analyst, however, some candidates will be self-taught or have learned their programming skills on the job. In a System Analyst job description, the below fields of study would be most relevant to include:
- IT.
- Science or Computer Science.
- Business Administration.
Whether formally qualified or not, a System Analyst should also possess these skills:
- Critical thinking ability.
- Strong problem-solving capacity.
- High-level written and verbal communication skills.
- Project management skills.
- Ability to work under pressure and to tight deadlines.
- Knowledge of data modelling and data visualisation tools.
