Graduate Data Scientist: ML & BI for Real-World Impact

Network Recruitment; Johannesburg; Presencial; ZAR 300 000 - 520 000; Tempo integral

Resumo da oferta

Network Recruitment in Johannesburg is seeking an early-career Data Analyst to exploratively work with large datasets, clean and transform data, and help build robust analytics datasets and pipelines. You will apply Python, SQL, and Power BI to deliver actionable insights, create dashboards, and communicate findings to both technical and business stakeholders while learning from a collaborative team.

You will collaborate across analytics, engineering, and business partners to accelerate

Qualificações

• Bachelor’s degree in Data Science, Statistics, CS, Math, Economics, Finance or related field.
• Proficiency in Python with Pandas and Scikit-learn; SQL and reporting tools.
• Experience with Power BI and data visualization; knowledge of ML fundamentals.

Responsabilidades

• Data Exploration & Preparation: Collect, clean, and transform large datasets from various sources to ensure quality and usability.
• Machine Learning & Analytics: Assist in building and testing models; contribute to feature engineering and model improvement.
• Reporting & Visualization: Create dashboards and reports using Power BI; translate analyses into actionable insights.
• Collaboration & Innovation: Partner with analysts, engineers, and business teams to meet data needs and drive automation.
• Continuous Learning: Stay updated with new tools and industry trends.

Conhecimentos

Python

SQL

Power BI

Excel

Data visualization

Machine learning basics

Formação académica

Bachelor's degree in a quantitative field

Ferramentas

Git

Cloud platforms

Data engineering concepts

Descrição da oferta de emprego

Network Recruitment in Johannesburg is seeking an early-career Data Analyst to exploratively work with large datasets, clean and transform data, and help build robust analytics datasets and pipelines. You will apply Python, SQL, and Power BI to deliver actionable insights, create dashboards, and communicate findings to both technical and business stakeholders while learning from a collaborative team.

You will collaborate across analytics, engineering, and business partners to accelerate