Minimum Requirements and Competencies

• Recent graduate or final-year student pursuing a degree in Information Technology, Computer Science, Business Information Technology, Data Science, Engineering, Business Administration, Operations Management, Statistics, Mathematics, or a related field.
  
• Strong interest in business analysis, process improvement, digital transformation, automation, data analytics, or technology-enabled business solutions.
  
• Strong analytical and problem-solving skills, with the ability to identify opportunities for improvement and develop practical solutions.
  
• Good computer literacy, including proficiency in Microsoft Office Suite and strong Excel or Google Sheets skills.
  
• Strong attention to detail, with the ability to document processes, analyze information, and present findings clearly and accurately.
  
• Good communication, teamwork, and organizational skills, with a proactive attitude and willingness to learn and take ownership of tasks.
  

This track is ideal for candidates interested in data analysis, reporting, business intelligence, SQL, Python, Power BI, Airtable and automation.

You will support projects involving:

• Cleaning, structuring and analyzing operational and business data
  
• Building dashboards and reports using Power BI, Air table, Excel or similar tools
  
• Writing SQL queries to extract and analyze data
  
• Using Python for data cleaning, automation or analysis where relevant
  
• Supporting data pipelines between different business systems
  
• Helping teams define KPIs, metrics and reporting requirements
  
• Automating repetitive reporting and administrative tasks using Power Automate, Air table, scripts or other tools
  
• Identifying data quality issues and helping improve how data is captured, stored and used
  
• Turning raw data into insights that support better business decisions