Graduate Trainee - Data Analysis

Placements24; Cape Town; Hybrid; ZAR 134,000 - 223,000; Full time

Benefits offered by this job

Mentorship from data professionals

Professional development opportunities

Competitive stipend

Potential for full-time employment

Job summary

Placements24 invites graduates to join its Data Analysis team in Cape Town for a structured 12-month graduate training program. You will collect, clean, analyze, and interpret data to support strategic decisions across business units, with mentoring from experienced data professionals.

Youll gain hands-on experience with SQL, Python, R, and data viz tools, and collaborate closely with business teams to deliver actionable insights while learning modern analytics techniques.

Qualifications

• Recent graduate with quantitative degree in statistics, maths, CS or economics.
• Strong analytical and problem-solving abilities with attention to detail.
• Proficiency in SQL, Python or R; experience with data viz tools is a plus.

Responsibilities

• Assist in collecting, cleaning, and preprocessing large datasets.
• Analyze data using statistical methods to identify trends and insights.
• Develop reports and visualizations to communicate findings to stakeholders.
• Support data models and algorithm development with guidance from seniors.
• Collaborate with business teams to understand data needs and provide support.

Skills

Analytical thinking

Statistical methods

Problem solving

Team collaboration

Education

Bachelor's or Master's in Statistics/Math/CS/Economics

Tools

SQL

Python

R

Tableau

Power BI

Job description

About the Role

Our client, a forward-thinking organization in Cape Town, Western Cape, ZA, is actively recruiting bright and motivated Graduate Trainees to join their Data Analysis team. This is an outstanding opportunity for individuals with a strong quantitative background and a keen interest in data science and analytics to kick-start their careers. You will be involved in collecting, cleaning, analyzing, and interpreting complex datasets to support strategic decision-making across various business units. This role is primarily office-based to foster close collaboration and hands-on learning within the team, with occasional flexibility for project-specific remote work. You will learn to use advanced analytical tools and techniques under the guidance of experienced data professionals.

Key Responsibilities

• Assist in the collection, cleaning, and preprocessing of large datasets.
• Perform data analysis using statistical methods and analytical tools to identify trends and insights.
• Develop reports and visualizations to communicate findings effectively to stakeholders.
• Support the development and implementation of data models and algorithms.
• Collaborate with business teams to understand their data needs and provide analytical support.
• Ensure data accuracy, integrity, and confidentiality.
• Stay updated with the latest advancements in data analysis and data science techniques.
• Contribute to the continuous improvement of data management and analytical processes.
• Assist senior data analysts with ad-hoc data-related projects.

Requirements

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical, statistical, and problem-solving skills.
• Proficiency in data analysis tools such as SQL, Python, R, or similar.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent attention to detail and commitment to data accuracy.
• Strong written and verbal communication skills.
• Ability to work collaboratively within a team environment.
• Eagerness to learn and adapt to new technologies.
• Must be based in or willing to relocate to Cape Town, Western Cape, ZA.

Benefits

• Structured 12-month graduate training program with comprehensive data analytics focus.
• Competitive monthly stipend and potential for performance-based bonuses.
• Exposure to real-world business challenges and data-driven solutions.
• Mentorship from seasoned data professionals.
• Collaborative and innovative work environment.
• Opportunities for professional development and advanced training.
• Potential for full-time employment based on performance and business needs.
• Access to modern data analytics infrastructure.