Technology & IT

Technology & IT Job Roles

Key skills, behaviours, and qualifications for Software Developers, IT Support Data Specialists:

SOFTWARE DEVELOPERS

SKILLS
1. Programming languages: Proficiency in languages such as Java, Python, C++, etc.
2. Software development methodologies: Understanding of Agile, Scrum, or Waterfall development methodologies.
3. Problem-solving: Ability to analyse and resolve complex software issues.
4. Collaboration: Ability to work effectively in teams and collaborate with stakeholders.

BEHAVIOURS
1. Continuous learning: Staying up-to-date with new technologies and trends.
2. Attention to detail: Ensuring high-quality code and thorough testing.
3. Adaptability: Ability to adapt to changing project requirements and priorities.

QUALIFICATIONS
1. Degree in Computer Science: Completion of a degree program in Computer Science or related field.
2. Programming certifications: Obtaining relevant programming certifications.
3. Experience: Relevant experience in software development roles.

IT SUPPORT

SKILLS
1. Technical knowledge: Understanding of computer systems, networks, and software.
2. Troubleshooting: Ability to diagnose and resolve technical issues.
3. Communication: Effective communication with users and stakeholders.
4. Problem-solving: Ability to analyse and resolve complex technical issues.

BEHAVIOURS
1. Patience and empathy: Understanding and addressing user concerns.
2. Attention to detail: Ensuring thorough troubleshooting and resolution.
3. Adaptability: Ability to adapt to changing technical demands and priorities

QUALIFICATIONS
1. IT certifications: Obtaining relevant IT certifications, such as CompTIA A+ or Cisco CCNA.
2. Experience: Relevant experience in IT support roles.
3. Technical training: Completion of technical training programs.

DATA SPECIALISTS

SKILLS
1. Data analysis: Ability to analyse and interpret complex data sets.
2. Data visualisation: Creating effective data visualisations to communicate insights.
3. Statistical knowledge: Understanding of statistical concepts and techniques.
4. Data management: Ability to manage and maintain large data sets.

BEHAVIOURS
1. Attention to detail: Ensuring accuracy and thoroughness in data analysis.
2. Curiosity: Continuously seeking insights and patterns in data.
3. Collaboration: Ability to work effectively with stakeholders to understand data needs.

QUALIFICATIONS
1. Degree in Data Science: Completion of a degree program in Data Science or related field.
2. Data analysis certifications: Obtaining relevant data analysis certifications.
3. Experience: Relevant experience in data analysis or related roles.