Trainee Data Analyst (Pretoria): Learn, Visualize, Impact

Placements24; Pretoria; Hybrid; ZAR 180,000 - 260,000; Full time

Benefits offered by this job

Structured training program

Mentorship from data professionals

Competitive salary and benefits

Job summary

Placements24 in Pretoria is launching a Trainee Data Analyst program designed to build foundational skills in data analysis, visualization, and interpretation. You will work with diverse datasets, uncover insights, and contribute to data-informed decision-making within a supportive learning environment.

This entry point emphasizes hands-on training, mentorship from experienced analysts, and opportunities to contribute to real business insights using Excel, SQL, Python/R, and modern visualization

Qualifications

• A degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related area.
• Strong analytical and problem-solving skills with an aptitude for numbers.
• Familiarity with spreadsheets (e.g., Microsoft Excel) and a desire to learn data analysis tools.
• Excellent communication skills, both written and verbal, with the ability to explain technical concepts simply.
• A proactive approach to learning and a keen interest in uncovering insights from data in Pretoria.

Responsibilities

• Assist in collecting, cleaning, and organizing data from various sources.
• Learn to perform basic data analysis using tools like Excel, SQL, and potentially Python/R.
• Support the creation of clear and concise data visualizations and reports for stakeholders.
• Collaborate with senior analysts to understand project goals and interpret findings.
• Help identify trends, patterns, and anomalies within datasets to inform business strategies.

Skills

Analytical thinking

Problem solving

Communication

Curiosity

Education

Bachelor's degree in quantitative field

Tools

Excel

SQL

Python

R

Job description

Placements24 in Pretoria is launching a Trainee Data Analyst program designed to build foundational skills in data analysis, visualization, and interpretation. You will work with diverse datasets, uncover insights, and contribute to data-informed decision-making within a supportive learning environment.

This entry point emphasizes hands-on training, mentorship from experienced analysts, and opportunities to contribute to real business insights using Excel, SQL, Python/R, and modern visualization