05/03/2026 updated
100 % available
Financial, Data & Business Intelligence Analyst
Bucharest, Romania
United Kingdom +2
PGD Data Science - CCT College Ireland (2023)info: United Kingdom, Ireland, Romania
About me
Data-driven Financial & BI Analyst with 5+ years’ experience turning financial and operational data into actionable insights. Skilled in Excel, SQL, Power BI & Python, with a strong accounting background. Builds dashboards, automates reporting, and supports data-driven decisions.
Data AnalysisFinancial Data Analysis
Power BI & Dashboard Development
Expertise in building interactive Power BI and Excel dashboards for revenue, cost, and profit tracking, KPI monitoring, and reporting automation to support data-driven decision-making.
SQL & Python Data Analysis
Proficiency in SQL querying and Python (Pandas, NumPy) for data cleaning, transformation, validation, and exploratory data analysis to deliver actionable insights through visual reports.
Financial Analysis & Reporting
Strong background in financial modelling, variance analysis, cost and profitability analysis, as well as preparation of financial statements and management reports to support business performance.
Advanced Excel
Advanced Excel skills including Pivot Tables and Power Query for data analysis, reporting, and dashboard development.
Business Intelligence & KPI Reporting
Experience in building KPI dashboards and reports, analysing sales, marketing, and operational data to identify trends and improve performance.
Accounting & Bookkeeping
Solid accounting knowledge covering bookkeeping, AP/AR, bank reconciliations, VAT returns, and tax compliance with structured financial dataset management.
Reporting Automation
Automation of reporting processes and workflows using Power BI, Excel, and Python to improve efficiency and data accuracy.
ERP & Accounting Software
Familiarity with Xero, QuickBooks, and SAP (Basic) for financial management and accounting operations.
Tableau
Use of Tableau for data visualisation and business intelligence reporting.
Expertise in building interactive Power BI and Excel dashboards for revenue, cost, and profit tracking, KPI monitoring, and reporting automation to support data-driven decision-making.
SQL & Python Data Analysis
Proficiency in SQL querying and Python (Pandas, NumPy) for data cleaning, transformation, validation, and exploratory data analysis to deliver actionable insights through visual reports.
Financial Analysis & Reporting
Strong background in financial modelling, variance analysis, cost and profitability analysis, as well as preparation of financial statements and management reports to support business performance.
Advanced Excel
Advanced Excel skills including Pivot Tables and Power Query for data analysis, reporting, and dashboard development.
Business Intelligence & KPI Reporting
Experience in building KPI dashboards and reports, analysing sales, marketing, and operational data to identify trends and improve performance.
Accounting & Bookkeeping
Solid accounting knowledge covering bookkeeping, AP/AR, bank reconciliations, VAT returns, and tax compliance with structured financial dataset management.
Reporting Automation
Automation of reporting processes and workflows using Power BI, Excel, and Python to improve efficiency and data accuracy.
ERP & Accounting Software
Familiarity with Xero, QuickBooks, and SAP (Basic) for financial management and accounting operations.
Tableau
Use of Tableau for data visualisation and business intelligence reporting.
Experience
Professional experience5 - 10 years
Freelancer since2021
Languages
EnglishFluent
Project history
Managing bookkeeping, AP/AR, and maintaining structured financial datasets. Preparing financial statements and management reports, performing bank reconciliations and data validation, preparing VAT returns and supporting tax compliance, and analysing financial data to support reporting and decision-making.
Built interactive dashboards for revenue, cost, and profit tracking. Designed KPI monitoring systems. Automated reporting workflows.
Cleaned and analysed datasets using SQL and Python. Performed exploratory data analysis (EDA). Delivered insights through visual reports.