AI Data Analyst | Hybrid Work & AI Growth

Placements24; Soweto; Hybrid; ZAR 300,000 - 460,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

Professional development

Impactful data projects

Collaborative team atmosphere

Job summary

Placements24 is seeking an AI Data Analyst to join their analytics team in Soweto. You will analyze large datasets, identify trends, and deliver actionable insights to support AI development and business strategy.

Collaborating with data scientists and engineers, you will build dashboards, perform data cleansing, and communicate findings to technical and non-technical stakeholders. A strong foundation in statistics and SQL is essential.

Qualifications

• Bachelor's degree in Statistics, Mathematics, CS, Economics or related field.
• 2+ years in data analysis with exposure to AI/ML concepts.
• Proficiency in SQL and data analysis tools (Python, R, Tableau).
• Strong statistical and data visualization skills.

Responsibilities

• Analyze complex datasets to identify patterns relevant to AI projects.
• Develop dashboards and reports to visualize data insights and model performance.
• Collaborate with data scientists and engineers to define data needs for AI models.
• Perform data cleansing, transformation, and preparation for analysis.
• Communicate findings clearly to technical and non-technical audiences.

Skills

SQL

Python

R

Tableau

Statistical methods

Data visualization

Analytical thinking

Education

Bachelor's degree in Statistics

Bachelor's degree in Mathematics

Bachelor's degree in Computer Science

Bachelor's degree in Economics

Tools

SQL

Python

R

Tableau

Job description

Placements24 is seeking an AI Data Analyst to join their analytics team in Soweto. You will analyze large datasets, identify trends, and deliver actionable insights to support AI development and business strategy.

Collaborating with data scientists and engineers, you will build dashboards, perform data cleansing, and communicate findings to technical and non-technical stakeholders. A strong foundation in statistics and SQL is essential.