Junior Business Analyst/ Data Analyst
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