PROJECT MANAGEMENT (50%)

Project Planning:

• Defining project scope, setting goals, creating detailed work breakdown structures, assigning tasks, estimating timelines, and establishing project budgets.

Team Leadership:

• Building and managing a project team, delegating tasks, providing guidance, fostering collaboration, and resolving team conflicts.

Progress Monitoring:

• Tracking project progress against the plan, identifying potential issues, and taking corrective actions to ensure timely completion.

Stakeholder Management:

• Communicating project status updates to key stakeholders, managing expectations, addressing concerns, and ensuring alignment with project objectives.

Risk Management:

• Identifying potential risks, developing mitigation strategies, and monitoring risks throughout the project lifecycle.

Budget Management:

• Controlling project expenses, monitoring spending against the budget, and making adjustments as needed.

Quality Assurance:

• Implementing quality control measures to ensure project deliverables meet required standards.

Reporting:

• Preparing regular project reports for stakeholders, including status updates, performance metrics, and key insights.

• Ensure proper close out and handover of projects to project owners
• Evaluate and report impact of closed out projects to project owners
• Develop documentation of lessons learned on a project for future reference
• Maintain good record keeping of project documentation

BUSINESS INTELIGENCE (30%)

Data Collection and Analysis:

• Gathering data from various sources, such as databases, spreadsheets, and other information systems, and organizing it in a structured format.
• Conducting thorough data analysis to identify trends, patterns, and relationships that can drive business growth and efficiency.

Reporting and Visualization:

• Creating reports, dashboards, and visual representations of data using tools like spreadsheets, data visualization software, and business intelligence platforms.
• Presenting data in a clear and understandable manner to key stakeholders, enabling them to make informed decisions.

Data Quality Assurance:

• Ensuring the accuracy, completeness, and reliability of data by conducting data cleansing, validation, and verification processes.
• Identifying and resolving data quality issues to maintain data integrity.

Business Insights and Recommendations:

• Interpreting data findings and translating them into actionable insights and recommendations.
• Collaborating with cross-functional teams, to identify opportunities for improvement, optimise processes, and enhance business performance.

Technology and Tool Management:

• Evaluating and selecting appropriate software tools and technologies to support data collection, analysis, and reporting activities.
• Staying updated with industry trends and advancements in data analytics and business intelligence tools.

Stakeholder Collaboration:

• Working closely with business leaders, managers, and teams to understand their information needs and requirements.
• Collaborating with stakeholders to identify key performance indicators (KPIs), establish data-driven goals, and track progress towards achieving them.

Continuous Improvement:

• Monitoring data processes and identifying areas for improvement in data collection, analysis, and reporting methods.
• Implementing enhancements and best practices to optimize data management processes.

Training and Support:

• Providing training and support to users of data and reporting tools within the department.
• Assisting colleagues in understanding and interpreting data to enable them to make data-driven decisions.

Industry and Market Research:

• Staying updated with industry trends, market conditions, and competitors’ activities.
• Conducting research and analysis to provide insights on market opportunities and potential risks.

TECHNICAL TRAINING STRATEGY (20%)

• Manage and monitor the implementation of strategic initiatives
• Build measures to help track and report on progress of strategic initiatives
• Facilitate regular and ad hoc reviews of the Technical Training Strategy to ensure that it is current and relevant to the prevailing business context
• Evaluate the impact of strategic initiatives on departmental and organizational objectives (ROI)
• Maintain Technical Training Strategy documentation in consultation with the Technical Training Leadership team.
• Support the Technical Training team in understanding the Strategy and their role its realisation

• Strong business acumen
• proficiency in data analysis tools
• Strong analytical skills
• Ability to write correctly and persuasively
• Critical thinking and problem solving skills
• Good computational reasoning
• Interpersonal intelligence
• Good customer service
• Leading group discussions or meetings

• Strong personal drive and self confidence
• Team player
• Good leadership qualities
• Strong sense of accountability
• Good judgement and decision making
• Attention to detail
• Excellent communication skills

• Minimum of Eight (8) years relevant work experience
• Strong understanding of data management, data analysis, and data visualization concepts is essential. Proficiency in SQL (Structured Query Language) is required to extract and manipulate data from databases.
• Familiarity with various business intelligence tools and technologies specifically, Power BI, or other similar platforms used for data visualization and reporting.
• Proficiency in statistical analysis techniques, predictive modeling, and data mining methods is beneficial. Knowledge of statistical programming languages such as R or Python can be an advantage.
• Good working knowledge of training matrices is advantageous
• Good working knowledge of MS Projects is a must
• Project Management Professional (PMP) certification is necessary.
• Certified ScrumMaster (CSM) and PRINCE2 is advantageous.

• Full Grade 12 Certificate or equivalent
• Bachelor’s Degree in a relevant field such as computer science, information systems, business analytics, or a related discipline