Automated financial reporting
Built automated Excel-based reporting tools using VBA and Power Query to streamline billing data processing, reducing manual workload and turnaround time.
Open to opportunities
Billing & revenue analyst
Michele
Grieco
Turning complex financial and operational data into clear, actionable insights — currently deepening my path into data analytics (SQL, Python, Power BI).
8+
Years in financial data & operations
Excel VBA · SQL · Power BI
Based in
Dublin, Ireland
01 — About
Data and billing professional with 8+ years of experience in financial systems, data analysis, and process optimization.
Strong technical mindset with SQL, Excel (VBA, Power Query), and automation, with a focus on problem solving and operational efficiency. Based in Dublin, Ireland, currently growing further into data analytics (SQL, Python, Power BI) — building on a solid foundation in financial systems and technical troubleshooting.
Google Data Analytics Professional Certificate (2025) · Google AI Essentials Certificate, Coursera (2026) · Diploma in Accounting & Business Information Systems.
SQL
Excel VBA
Power Query
Power BI
Process automation
Financial reporting
02 — Experience
2021 — Present
General Billing Associate
UPS (United Parcel Service) · Dublin, Ireland
- Built and deployed Excel-based automation tools (VBA, macros, Power Query) that cut key billing workflows from ~2 working days to minutes, reducing manual errors and processing time across the team
- Identified and corrected revenue-impacting errors by analyzing large financial datasets, contributing to reduced revenue leakage on high-value enterprise cases
- Investigated and resolved complex billing discrepancies and high-value financial adjustments, handling escalations from enterprise customers and internal stakeholders
- Produced recurring reports and ad-hoc analysis for account managers and credit controllers, supporting data-driven decisions
2017 — 2021
Administration & Accounting
Autolinee Manzo S.r.l. · Italy
- Performed bank and customer account reconciliations, identifying and resolving discrepancies in financial records
- Processed invoices and executed daily and weekly electronic payment runs, ensuring accuracy and timely settlement
- Monitored cash flow and supported financial reporting for management
03 — Projects
Selected work
Featured case study — work projectRules-Based Auto-Approval for Billing Credit Decisions
I identified, designed, and led the implementation of an internal application that automated the approval process behind billing credits for customer disputes — replacing a manual, spreadsheet-based workflow with a centralized application connected directly to the company's data systems.
I conceived the idea, designed the full decision logic, validation rules and workflow; the internal IT team developed the technical build from my functional design.
2–3 min
Approval turnaround, from ~2 business days
~99%
Reduction in turnaround time
100s
Requests per month
Automated Billing Reconciliation & Anomaly Detection
A rule-based reconciliation pipeline that matches ~99,000 invoices and payments, flags billing anomalies, and ranks every exception by financial impact. Includes an exploratory machine-learning extension for anomaly detection. Built on a realistic synthetic dataset with seeded ground truth.
Developed with an AI-assisted workflow: I defined the business logic, reconciliation rules and validation criteria, and used AI tools to accelerate the Python implementation.
99.7%
Payment match rate
€214k
Revenue at risk surfaced
~99,000
Invoices & payments processed
KPI dashboards
Developed reports and dashboards in Excel and Power BI to monitor billing performance, trends and anomalies, and support data-driven decision-making across teams.
04 — Contact
Let's talk
Open to data analyst opportunities and conversations about data, automation, and process optimization.