Junior Data Analyst (AI & Analytics) - Sandton

SUMMARY:

Role Purpose

Key Responsibilities

• Collect, clean, validate and analyse data from various sources.
• Assist with the preparation of regular and ad hoc reports, dashboards and data visualisations.
• Analyse data usage, patterns, trends and performance to identify meaningful insights.
• Support the identification of opportunities to improve data quality, reporting and data utilisation.
• Assist with AI-focused analytics, including exploring how AI tools and technologies can be applied to data analysis and business processes.
• Monitor emerging AI and data trends relevant to the South African market.
• Analyse datasets to identify trends, anomalies, correlations and opportunities.
• Assist with developing and maintaining dashboards and analytical reports.
• Translate data findings into clear and understandable insights for internal stakeholders.
• Support data-driven decision-making by providing accurate and timely analysis.
• Work with internal teams to understand data requirements and analytical needs.
• Assist with tracking and analysing customer, product, operational or platform usage data.
• Conduct research into AI, analytics, automation and data-related developments.
• Assist in testing and evaluating AI tools, models and analytical solutions.
• Maintain accurate documentation of data sources, methodologies and analytical outputs.
• Ensure data is handled accurately, responsibly and in accordance with applicable data protection and governance requirements.
• Identify opportunities for automation and improved efficiency through AI and data analytics.

POSITION INFO:

Role Requirements

• Bachelor’s degree or relevant qualification in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, Mathematics, Economics or a related field.
• 1–2 years’ experience in data analysis, business intelligence, data science or a related analytical environment.
• Strong interest in Artificial Intelligence, Machine Learning and emerging AI technologies.
• Experience with Microsoft Excel and data analysis tools.
• Exposure to SQL and/or database querying is advantageous.
• Exposure to Power BI, Tableau or other data visualisation tools is advantageous.
• Basic understanding of statistical analysis, data modelling and data visualisation.
• Strong analytical and problem-solving abilities.
• Good attention to detail and ability to identify trends and anomalies in data.
• Ability to communicate complex data findings clearly to non-technical stakeholders.
• Strong research skills and an interest in emerging technology and AI trends.
• A proactive, curious and solutions-oriented approach to working with data.
• South African market and business environment knowledge will be advantageous.
• Must be comfortable working with large datasets and learning new analytical and AI tools.