Power BI & Excel Data Analyst | Business Reporting & Insights
I am a Data Analyst with over 21 years of professional experience supporting business operations, procurement, and management through accurate data analysis and reporting. I am a Microsoft Power BI Data Analyst (PL-300) with strong expertise in Advanced Excel, including PivotTables, Power Query, and automated reporting.
My strength lies in transforming raw operational and system-generated data into clear, meaningful insights that support decision-making. I have extensive hands-on experience working with ERP systems such as SAP, Oracle, and Navision, enabling me to analyse complex datasets across multiple sources with accuracy and consistency.
I specialise in creating Power BI dashboards, structured Excel reports, and performance analysis that help businesses track trends, control costs, and improve operational visibility. My approach focuses on clarity, reliability, and practical usability — ensuring reports are easy to understand and actionable for stakeholders.
I am detail-oriented, dependable, and comfortable working both independently and collaboratively. Whether supporting one-off analysis, dashboard development, or ongoing reporting needs, I aim to deliver high-quality results that simplify data and add real business value.
Work Terms
• Communication: I communicate clearly and respond within 24 hours on business days.
• Working Hours: Available Monday to Friday, based on mutual agreement. Remote work only.
• Project Scope: All work is based on clearly defined requirements and agreed deliverables before starting.
• Revisions: Reasonable revisions are included to ensure accuracy and alignment with agreed scope.
• Data Confidentiality: All data shared by clients is treated as confidential and used solely for project purposes.
• Reporting & Delivery: Deliverables include Power BI dashboards, Excel reports, or analysis outputs in agreed formats.
• Payments: Payments are based on Guru SafePay, either hourly or fixed-price, as agreed before project start.
• Timeframe: Project timelines depend on data complexity and scope and will be confirmed before commencement.