
A detail-oriented and analytical individual with hands-on experience in data analysis, KPI reporting, and cross-functional stakeholder support. Proven ability to identify data anomalies, track related performance metrics, and translate complex data into actionable insights for necessary stakeholders. Reasonably skilled in Power BI and Excel for developing recurring reports and dashboards that support more informed purchasing and operational decisions. Eager to bring analytical rigour to procurement operations within a remote, asynchronous team environment.
• Managed and maintained executive-level Power BI dashboards tracking asset delivery schedules, contract performance, and operational KPIs therfore surfacing data for senior leadership decision-making.
• Supported in the Identification of critical procurement data anomaly; assets flagged as pending delivery beyond agreed timelines and initiated cross-functional liaison with the Procurement team to investigate root cause and prepare a defensible response ahead of C-suite review.
• Collaborated directly with procurement analysts to validate data accuracy and reconcile discrepancies between dashboard reporting and actual vendor delivery status, supporting more informed purchasing decisions.
• Conducted variance analysis comparing actuals against expected benchmarks, flagging irregularities for management attention and supporting spend visibility across the business.
• Developed recurring Excel-based reports and automated data connections between Excel and Power BI, improving reporting consistency and reducing manual refresh time for stakeholder teams.
• Communicated analytical findings and data quality concerns clearly to internal stakeholders across departments, operating in a structured, process-driven environment with multiple competing priorities.
Revenue Reporting and Dashboard | Personal Portfolio Project • Microsoft Excel
Designed and developed a revenue performance dashboard for a simulated renewable energy company, using full-year revenue data to identify trends and generate actionable business insights
• Tracked revenue performance across time periods, identifying an overall upward trend across the year despite month-to-month fluctuations, demonstrating the ability to distinguish signal from noise in financial data.
• Surfaced revenue volatility patterns between months, providing a clearer picture of performance consistency, the same analytical lens applied when assessing total cost of ownership and vendor spend benchmarking.
• Produced a clean, self-contained Excel report requiring no manual guidance to interpret thus reflecting the documentation and reporting standards expected in a procurement KPI reporting role.