Data Analytics Graduate Programme | Hybrid & Mentored Path

Placements24; Midrand; Hybrid; ZAR 240,000 - 300,000; Full time

Benefits offered by this job

Graduate development program

Performance bonuses

Hybrid work model

Medical aid contributions

Provident fund

Job summary

Placements24 is seeking ambitious graduates to join the Data Analytics team in Midrand, Gauteng. You will work with datasets, learn from professionals, and gain hands-on experience turning data into business insights in a hybrid work setting.

The programme offers mentorship, exposure to tools like SQL, Python, R, Tableau, Power BI, and opportunities to contribute to real projects with performance-based bonuses.

Qualifications

• Bachelor's or Honours degree in a quantitative field.
• Strong analytical and quantitative skills with attention to detail.
• Proficiency in SQL, Python or R is advantageous.
• Familiarity with Tableau or Power BI for data visualization.
• Excellent communication and teamwork abilities.

Responsibilities

• Assist in collecting, cleaning, and preprocessing large datasets.
• Develop data analysis models to identify trends and correlations.
• Generate reports and visuals to communicate findings.
• Collaborate with cross-functional teams on data challenges.
• Support development and maintenance of data dashboards and tools.
• Conduct ad-hoc data analysis as needed.
• Ensure data accuracy and integrity.
• Participate in team meetings and project planning.
• Learn and apply statistical techniques and data mining methods.
• Contribute to improving data analysis methodologies.

Skills

Analytical thinking

Problem solving

Communication skills

SQL

Python

R

Tableau

Power BI

Education

Bachelor's or Honours in Statistics/Mathematics/Computer Science/Economics or related quantitative field

Tools

Tableau

Power BI

Job description

Placements24 is seeking ambitious graduates to join the Data Analytics team in Midrand, Gauteng. You will work with datasets, learn from professionals, and gain hands-on experience turning data into business insights in a hybrid work setting.

The programme offers mentorship, exposure to tools like SQL, Python, R, Tableau, Power BI, and opportunities to contribute to real projects with performance-based bonuses.