Junior Business Analyst/ Data Analyst at BURN

About the role

• Burn is looking for a Junior Business Analyst who will support data-driven decision-making by analyzing IT expenditure, tracking cost trends, and developing dashboards to improve reporting and efficiency. The role works closely with cross-functional teams to provide insights on cost optimization, asset lifecycle management, and IT performance.

Engagement type: 6 Month Contract
Collaborates with: IT Operations, Finance, HR, Operations, Procurement

Duties and Responsibilities:

• Analyze IT expenditure data across departments and produce regular cost reports covering software licenses, IoT devices, cloud services, and hardware.
• Build and maintain dashboards and automated reporting tools to track IT spend trends, leveraging AI-assisted analytics where possible.
• Conduct hardware asset lifecycle analysis, forecasting laptop and device replacement needs based on age, warranty status, and performance data.
• Review and summarize Trend Micro security reports, identifying key risk areas and recommending actions for the IT Operations team.
• Support departmental budget planning by providing data-driven insights on IT cost optimization opportunities.
• Develop standardized templates and processes for IT cost allocation and chargeback reporting to department heads.
• Assist with software license compliance audits, tracking usage and identifying underutilized or redundant subscriptions.
• Leverage AI tools to automate data collection, cleaning, and preliminary analysis tasks to improve reporting efficiency.
• Prepare executive summaries and presentations on IT spending patterns and cost-saving recommendations for senior leadership.

Skills and Experience

• Currently pursuing or recently completed a degree in Business Analytics, Data Science, Finance, IT, or a related field.
• 1–2 years of experience in data analysis, business intelligence, or IT operations.
• Proficiency in Excel, Google Sheets, or BI tools such as Power BI or Tableau.
• Strong analytical and problem-solving skills with attention to detail.
• Familiarity with AI-assisted analytics tools and willingness to adopt new technologies.
• Basic understanding of IT infrastructure, networking, and security concepts.
• Excellent written and verbal communication skills, with the ability to present data to non technical audiences