Junior Financial Analyst (Somerset West)

LanciaConsult; South Africa; On-site; ZAR 250,000 - 350,000; Full time

Job summary

A global consultancy firm in Cape Town seeks a Junior Financial Analyst to support their team in financial modelling and data analytics. The ideal candidate has 1-2 years of relevant experience, is detail-oriented, and eager to learn. This on-site role requires attendance in office four days a week, offering exposure to both traditional corporate finance and modern analytics.

Qualifications

• 1-2 years of relevant experience in financial modelling.
• Experience in financial data analytics and strategic decision-making.
• Comfortable working with complex datasets and building financial models.

Responsibilities

• Support the team in financial modelling and data analytics.
• Provide exposure to corporate finance and data-driven analytics.

Job description

Overview

We are a global consultancy that helps ambitious businesses solve tricky problems, overcome complex challenges, and achieve great things. Working with global blue chips, SMEs, ambitious scale-ups, and inspiring charities, we bring decades of cross-sector expertise alongside our passionate, collaborative, and practical problem-solving process to deliver the right approach and real impact that gets our clients the results they want. At Lancia Consult, our people have the freedom to think innovatively, work autonomously, and be empowered to make their own decisions, whilst working in a collaborative and supportive environment. We are looking for a top achiever, a Junior Financial Analyst to join our team based in our Somerset West office, Cape Town. Please note that this position will be based on-site and attendance in office will be expected four days a week.

This individual needs to have at least 1-2 years of relevant experience to support our team in financial modelling, financial data analytics, and strategic decision-making. The role will provide exposure to both traditional corporate finance work and modern data-driven analytics. The ideal candidate will be eager to learn, detail-oriented, and comfortable working with complex datasets as well as building forward-looking financial models.