Junior Data Analyst (AI & Analytics) - Sandton

Duties & Responsibilities

Role Purpose

The Junior Data Analyst will support the analysis, interpretation and reporting of data, with a strong focus on Artificial Intelligence (AI), data usage, trends and emerging insights within the South African market . The role will assist in transforming raw data into meaningful insights that support business decisions, identify trends and improve the understanding and use of data and AI.

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.

Desired Experience & Qualification

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.

Should you not receive a response within 10 working days, please consider your application unsuccessful. For more information, please contact 012 346 1950

Package & Remuneration

R37 000 - R40 000 p/m