Intern - Analytics Graduate Program

Key Skills

Data Visualization, Effective communication skills, Leadership Skill

Job Description

WHO YOU'LL WORK WITH

You will be based in our office in Johannesburg, South Africa and will be part of our global Client Capabilities Network. 

Colleagues in our global Client Capabilities Network deliver distinctive client impact through assets and expertise and are driven by a culture of innovation. The team integrates analytical findings into business solutions for clients by developing actionable recommendations that are tailor made for client situations.

When you join McKinsey, you are joining a firm whose culture is distinctive and inclusive. We will accelerate your development as a leader to create positive, enduring change in the world.

WHAT YOU'LL DO

The Analytics Graduate Program will provide you with the skills and experience to develop expertise across multiple industry and/or functional areas through 3 focused rotations across firm functions, solutions, and client serving roles.

You will join a cohort of fellows with a strong community building program, building critical new skills within the realms of leadership, analytics, and business strategy. Throughout the program, you will receive mentorship, sponsorship, developmental guidance and support opportunities from key firm leaders

At the end of the fellowship, if in good standing, you will be eligible to apply for a full-time position at McKinsey. You will build on the experience and network you have gained to apply for an available role on a team you worked with during your fellowship or apply for other open roles you are interested in.

At McKinsey, we are dedicated to building a firm that attracts, develops and retains exceptional people. We value a respectful work environment and are committed to inclusion. Our networks support our people, providing a welcoming environment where mentorship and community create an unparalleled sense of belonging and growth.

QUALIFICATIONS

• Recent graduate / up to 2 years experience with the following qualifications quantitative/analytical degree (e.g., computer science, information technology, quantitative or actuarial science, engineering, or related fields with an excellent academic record, etc.)
• Interested in gaining professional experience across a wide range of client organizations and business functions
• Aptitude for analytics and enjoys solving challenging and ambiguous problems
• Excited about building skills in analytics across data engineering, visualization, optimization and simulations, through rotations in various teams
• Strong record of leadership and initiative taking