About Cape Town Tourism

At Cape Town Tourism, we work towards one common purpose - to improve the lives of Capetonians through tourism.

As a global leading Destination Marketing and Management Organisation (DXO), we play a key role in positioning Cape Town as a world-class destination. We do this by creating awareness, driving visitor demand, supporting our member businesses, and advocating for sustainable tourism that benefits the city and its people.

We believe in giving our people the freedom to explore, learn and grow, while contributing to something bigger than themselves. If you are curious, driven by results, and excited by innovation and change, Cape Town Tourism is a place where you can build meaningful experience and make a real impact.

Our values guide how we work every day:
People First | Purpose | Learn & Grow | Innovate to Change | Be Well, Work Well

Role Overview

We are looking for a curious and analytical graduate to join our Destination & Business Intelligence team.

This role will support the team in analysing tourism data, assisting with research projects, and helping maintain dashboards and digital tools used to track tourism performance. The graduate will also assist with maintaining a tourism intelligence website where research reports, dashboards and industry insights are shared with stakeholders.

This is an excellent opportunity for a graduate interested in data, research and digital tools to gain practical experience in tourism intelligence and analytics.

Key Responsibilities

• Assist with collecting, cleaning and analysing tourism data.
• Support the preparation of research reports and insights.
• Help maintain dashboards and digital tools used by the research team.
• Assist with basic data modelling and forecasting.
• Support the maintenance and development of the tourism intelligence website.
• Provide general research and data support to the team when needed.

Minimum Requirements

• Recently completed degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Information Systems, Actuarial Science or a similar analytical field.
• Strong analytical and numerical skills.
• Good working knowledge of Microsoft Excel.
• Exposure to coding, programming or data analysis tools will be advantageous.
• Interest in working with data, analytics and digital tools.

What We’re Looking For

• Curious and analytical mindset
• Comfortable working with numbers and datasets
• Interest in AI, technology, data and digital innovation
• Willingness to learn and develop new skills
• Strong attention to detail