Remote Data Analytics Trainee

Placements24; Polokwane; Hybrid; ZAR 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Fully remote

Training resources

Advanced analytics tools

Diverse datasets

Collaborative culture

Job summary

Placements24 is seeking a highly analytical Graduate Trainee to join our data team remotely from South Africa. You will dive into large datasets, learn advanced analytics tools, and translate insights into actionable recommendations for multiple departments.

Ideal candidates hold a bachelor's in a quantitative field and are proficient in SQL, Python or R, with strong statistical understanding and communication skills to present findings to both technical and non-technical audiences.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a quantitative field.
• Proficiency in data analysis tools and languages such as SQL, Python, or R.
• Strong understanding of statistical concepts and data visualization techniques.
• Excellent analytical and problem-solving skills.
• Effective communication skills for presenting findings to technical and non-technical audiences.

Responsibilities

• Collect, clean, and process data from various sources.
• Perform data analysis using statistical methods and tools.
• Develop dashboards and reports to visualize key performance indicators.
• Identify trends, patterns, and insights within datasets.
• Collaborate with stakeholders to understand data needs and deliver relevant analysis.

Skills

Data analysis

Statistics

Data visualization

Analytical thinking

Communication

Education

Bachelor's degree in statistics/mathematics/computer science/economics or quantitative field

Tools

SQL

Python

R

Job description

Placements24 is seeking a highly analytical Graduate Trainee to join our data team remotely from South Africa. You will dive into large datasets, learn advanced analytics tools, and translate insights into actionable recommendations for multiple departments.

Ideal candidates hold a bachelor's in a quantitative field and are proficient in SQL, Python or R, with strong statistical understanding and communication skills to present findings to both technical and non-technical audiences.