Junior Data Analyst - Graduate

SUMMARY:
Our client in Alberton is looking for a Junior Data Analyst supports the organisation by collecting, cleaning, analyzing,
and visualizing data to drive informed decision - making within the wholesale and retail environment. This role focuses on analyzing sales trends, stock performance, pricing, promotions,
customer behaviour, and operational efficiency. The ideal candidate is analytical, detail - oriented, and eager to learn within a fast - paced environment

POSITION INFO:
Minimum requirements:

• Minimum Matric or relevant NQF qualification
• Qualification in computer science or similar field
• Newly graduated with 1 year experience within a similar position
• Experience in wholesale or retail analytics (internships included)
• Exposure to ERP or POS systems (SAP, Oracle Retail, SAGE, or similar software
• Experience with data visualization tools (Power BI, Tableau, or similar software
• Knowledge of inventory, pricing, and supply chain concepts
• Basic knowledge of Python or R for data analysis

• Gather data from POS, ERP, CRM, inventory, and finance systems
• Clean, validate, and prepare datasets for reporting and analysis
• Maintain data integrity and assist in troubleshooting data issues

• Produce daily, weekly, and monthly operational reports (sales, stock, margin, shrinkage, promotions, etc.)
• Create dashboards and visualisations using Excel, Power BI, or similar tools
• Support the development of automated reporting processes

• Analyse sales trends, customer purchasing patterns, and product performance
• Assist in forecasting and demand planning
• Identify areas of inefficiency, stock risks, or revenue opportunities

• Work closely with merchandising, supply chain, operations, and finance teams
• Support decision making with clear, concise, data backed insights
• Participate in ad hoc analytical projects and business improvement initiatives

• Ensure sensitive business data is handled ethically and securely
• Assist with maintaining documentation on datasets, processes, and definitions

• Proficient in Excel (pivot tables, formulas, data cleaning)
• Basic knowledge of SQL for querying databases
• Experience with data visualization tools (Power BI, Tableau, etc.)
• Understanding of statistical concepts and analytical techniques

• Strong attention to detail and problem -solving ability
• Good communication skills, able to present data clearly
• Willingness to learn and grow in a data driven environment
• Ability to manage time and work on multiple tasks