Experience
Over the years, I’ve refined my BI expertise, using Power BI and Tableau to turn complex data into clear, actionable insights.
1. Procurement Analyst, JLL - Australia Post, Melbourne, Australia
Apr 2025 — Present
Melbourne, VIC · Hybrid
Key Responsibilities
- Data & Reporting: Develop and publish critical Power BI dashboards for Tenders, spend analysis, and portfolio operational performance reporting.
- Financial Oversight: Author and publish Opex/Capex and NTE reports, providing essential executive oversight on spending limits and budgets.
- Procurement Support: Create detailed dashboards supporting high-value Tender strategies, including vendor analysis for bids up to $60 million+.
- Maintenance Compliance: Manage CDN's, Planned Maintenance (PM) schedules across diverse categories, ensuring proactive maintenance and critical compliance measures.
- Data Automation: Establish data pipelines for tracking and reporting, significantly improving the efficiency and reliability of core financial reports.
- Vendor Governance: Manage contract compliance and post-award reviews, verifying vendor rate cards to ensure best value and governance.
- Invoice & Budget: Support the finance team by tracking and reconciling vendor invoices; provide direct operational analytical support.
Achievements
- Portfolio Scale: Support critical procurement and operational analysis across a massive network of 1,500+ Australia Post properties nationwide.
- Tender Impact: Provide the essential analytical data for successful bids, directly supporting Tender strategies valued at over $60 million.
- Cost Savings: Conduct comprehensive monthly spend analysis, successfully identifying important trends and crucial cost-saving opportunities.
- Enhanced Reliability: Automation efforts drastically improve financial and operational reporting, leading to increased reliability across executive reports.
- Controlled Spend: Publish crucial financial reports (Opex/Capex) that enhance control and executive oversight over spending limits
2. Data Analyst, XL Express, Melbourne, Australia
Jun 2024 — Feb 2025
Melbourne, VIC · On-site
Key Responsibilities
- Implemented scalable data strategies optimizing the tracking and processing of 10,000 daily consignments nationwide, improving operational efficiency and data intelligence in logistical tasks.
- Crafted comprehensive Power BI dashboards offering real-time visualisation into sales forecasts and key metrics, enabling sales leadership to optimize planning and performance analysis.
- Developed DIFOT analysis reports through detailed extraction and technical analysis of large SQL datasets, equipping high-value customers with data insights critical for operational and strategic business enhancements.
- Drafted tailored dashboards in ZOHO CRM, enhancing real-time insight into supply chain performance metrics and streamlining operations across multiple distribution centers.
- Optimized reporting workflows by automating data processes through Excel Macros and VBA, cutting manual entry by 70% and significantly improving sales reporting efficiency.
- Optimized client onboarding processes with cost modeling frameworks, achieving 25% better pricing strategy accuracy and higher profit margins in logistics.
- Leveraged statistical analysis to implement predictive strategies, improving the identification of revenue-generating opportunities by 20%.
- Executed in-depth market analysis and leveraged historical sales data to develop accurate forecasts, leading to optimized resource allocation and strategic sales planning.
3. Business Intelligence Analyst, Authentic Life Care, Melbourne, Australia
Nov 2023 — May 2024
Melbourne, VIC · Hybrid
Key Responsibilities
- Collaborated with stakeholders to translate business requirements into actionable data-driven strategies, leveraging APIs to collect data insights from participant feedback and service delivery reports.
- Monitored over 20 Key Performance Indicators and sales performance metrics to assess program effectiveness, facilitating strategic business enhancements that improved customer sales satisfaction by 15%.
- Formulated actionable data-driven strategies to streamline service delivery processes, ensuring compliance with industry best practices and enhancing participant satisfaction through marketing innovation by 15%.
- Spearhead initiatives to maintain data integrity in compliance with NDIS standards, enhancing internal quality assurance processes by leveraging technical specifications.
- Drafted detailed specifications for data system upgrades, contributing to improved data accuracy and system reliability across multiple departments.
- Gathered and documented functional and non-functional requirements, facilitating effective communication between business analysts and technical teams to ensure alignment with business objectives.
4. Operations Coordinator, Coles Online, Melbourne, Australia
May 2023 — Oct 2023
Melbourne, VIC · On-site
Key Responsibilities
- Oversaw weekly data analytics for 10,000-13,000 deliveries, contributing to improved data accuracy and efficiency across state-wide operations using SQL for in-depth analysis and data interpretation.
- Deployed tracking systems and analytics platforms, achieving a 25% decrease in delivery discrepancies by enhancing data integrity across operations.
- Reduced transportation costs by 15% through strategic data analysis and optimization of delivery logistics, improving overall sales revenue and digital marketing pipeline management.
- Implemented systematic SOPs for reporting processes, facilitating consistent logistics performance tracking and supporting strategic decision-making.
- Designed real-time performance monitoring tools, improving access to critical operational data and supporting strategic analytics efforts.
- Gathered and documented functional and non-functional requirements, facilitating effective communication between business analysts and technical teams to ensure alignment with business objectives.
- Coordinated with cross-functional teams to swiftly address and resolve 97% of delivery issues, ensuring uninterrupted service and high customer satisfaction.
- Improved business performance by using data-driven insights tailored for non-technical audiences and implementing effective customer engagement strategies.
- Streamlined BI reporting workflows, resulting in a more efficient data-driven decision-making process and improved operational performance metrics.
5. Data Analyst, Amazon, Hyderabad
Oct 2019 — Jan 2022
Melbourne, Victoria, Australia
Key Responsibilities
- Utilized Amazon AWS, Quick Sight, and Tableau to develop dashboards that streamlined data visualization and improved logistics performance analysis.
- Spearheaded the development of automated reporting systems with a cross-functional team, achieving a 40% reduction in preparation time, maintaining perfect accuracy in logistics and delivery performance indicators.
- Applied hypothesis testing in analysis of data trends, leading to evidence-based recommendations that enhanced accuracy in logistics and delivery performance metrics.
- Collaborated with cross-functional teams to deliver analytical solutions supporting business objectives. Led the design, development, and deployment of advanced report generation systems, enhancing data accessibility for the team.
- Executed data extraction, transformation, and cleansing procedures, ensuring data integrity for detailed analysis and reporting, resulting in increased reliability of logistics performance metrics.
- Performing statistical analyses, including regression, forecasting, and hypothesis testing, to derive insights from data. Automated data collection and analysis processes using Excel Macros and VBA, saving 20+ hours weekly in manual reporting tasks
- Work closely with cross-functional teams, including IT and business units, to understand data requirements and deliver analytical solutions that support business objectives.
- Developing and validating predictive models, applying best practices in analytics to improve business processes and outcomes.