Job: Graduate Data Analyst (2025)

Company : Boxfusion; Johannesburg; On-site; ZAR 240,000 - 360,000; Full time

Job summary

Boxfusion in Johannesburg seeks a Graduate Data Analyst to join the AI and Analytics team. You'll perform data wrangling, preprocess data for quality, and help maintain AI-powered applications in production.

You'll analyze complex datasets, build dashboards, and collaborate with cross-functional teams while learning large language models to enhance data analysis capabilities. This role provides hands-on experience in modern data science workflows and a path to deepen statistical and programming

Qualifications

• Bachelor's degree or higher in Statistics, Mathematics, Data Science, or related field including bootcamp certifications.
• Basic programming knowledge in Python.
• Proficiency in computing skills and data wrangling/preprocessing techniques.
• Willingness to learn about and work with large language models.

Responsibilities

• Perform data wrangling and preprocessing to ensure data quality and integrity.
• Maintain AI-powered applications in production.
• Identify and fix bugs in data pipelines and models.
• Analyze complex datasets to extract actionable insights.
• Use programming skills for data analysis and development tasks.
• Collaborate with cross-functional teams across the business.
• Create and maintain dashboards and reports.
• Work with large language models to enhance data analysis capabilities.

Skills

Python

Data Wrangling

Data Analysis

Education

Statistics/Mathematics/Data Science degree

Job description

Graduate Data Analyst (Ai And Analytics)

Location: Johannesburg, Gauteng, South Africa

Date: 4-9-2024

Key Responsibilities

• performing data wrangling and preprocessing to ensure data quality and integrity
• maintaining AI-powered applications in production
• identifying and fixing bugs
• analyzing complex datasets
• using programming skills for data analysis and development tasks
• collaborating with cross-functional teams
• creating and maintaining dashboards and reports
• working with large language models to enhance data analysis capabilities

Requirements

• a degree in Statistics, Mathematics, Data Sciences, or a related field, including bootcamp certifications
• basic programming knowledge in Python
• proficiency in computing skills
• familiarity with data wrangling and preprocessing techniques
• willingness to learn about and work with large language models
• excellent analytical and problem-solving abilities
• strong attention to detail
• commitment to data accuracy
• demonstrated ability to learn new technologies and methodologies rapidly