09/06/2026 updated
EH
100 % available
Data Analyst | BI & Financial Modeling | Python, SQL, Tableau
Zenica, Bosnia-Herzegovina
Worldwide
PhD in Finance (in progress) - Prague University of Economics & BusinessData AnalysisFinancial Data AnalysisBusiness IntelligenceBusiness AnalysisEconomic AnalysisFinancial AnalysisFinancial ModelingForecastingPython (Programming Language)SAP FI/COSQL Databases
Python, R & SQL for Data Analysis
Proficiency in Python (Pandas, NumPy), R, and SQL (T-SQL) for processing, modeling, and querying large-scale datasets, including high-volume geospatial and transactional data.
BI & Data Visualization
Expertise in building scalable BI infrastructure and interactive executive dashboards using Tableau, Looker Studio, Power BI, and Advanced Excel to deliver actionable operational insights.
Econometrics & Statistical Modeling
Application of advanced econometric and statistical modeling techniques, including regression-based forecasting, anomaly detection, and machine learning, to validate data integrity and support strategic decisions.
Apache Spark for Big Data Processing
Utilization of Apache Spark to process and model high-volume geospatial data systems and optimize ETL reporting pipelines, saving significant engineering hours per month.
Financial Controlling & OPEX/CAPEX Management
Execution of month-end, quarterly, and annual financial closings, P&L reconciliations, OPEX/CAPEX budget variance analysis, and cost center accounting across business units.
SAP FI-CO
Contribution to financial data architecture and automated reporting during enterprise SAP FI-CO implementations.
SaaS Financial Modeling
Engineering of dynamic SaaS financial models covering ARR, churn, LTV/CAC, and multi-scenario cash forecasting to guide executive strategy.
KPI Architecture & Automated Pipelines
Design of automated pipelines and structured KPI architectures to extract predictive operational insights from product data.
Budget Variance & Revenue Analytics
Leadership in financial planning, variance analysis, corporate budgeting, cost optimization strategies, and monthly/quarterly executive business development reporting.
Proficiency in Python (Pandas, NumPy), R, and SQL (T-SQL) for processing, modeling, and querying large-scale datasets, including high-volume geospatial and transactional data.
BI & Data Visualization
Expertise in building scalable BI infrastructure and interactive executive dashboards using Tableau, Looker Studio, Power BI, and Advanced Excel to deliver actionable operational insights.
Econometrics & Statistical Modeling
Application of advanced econometric and statistical modeling techniques, including regression-based forecasting, anomaly detection, and machine learning, to validate data integrity and support strategic decisions.
Apache Spark for Big Data Processing
Utilization of Apache Spark to process and model high-volume geospatial data systems and optimize ETL reporting pipelines, saving significant engineering hours per month.
Financial Controlling & OPEX/CAPEX Management
Execution of month-end, quarterly, and annual financial closings, P&L reconciliations, OPEX/CAPEX budget variance analysis, and cost center accounting across business units.
SAP FI-CO
Contribution to financial data architecture and automated reporting during enterprise SAP FI-CO implementations.
SaaS Financial Modeling
Engineering of dynamic SaaS financial models covering ARR, churn, LTV/CAC, and multi-scenario cash forecasting to guide executive strategy.
KPI Architecture & Automated Pipelines
Design of automated pipelines and structured KPI architectures to extract predictive operational insights from product data.
Budget Variance & Revenue Analytics
Leadership in financial planning, variance analysis, corporate budgeting, cost optimization strategies, and monthly/quarterly executive business development reporting.
Experience
Professional experience10+ years
Freelancer since2022
Languages
EnglishFluentBosnianNative speaker
Project history
Architected scalable BI infrastructure and interactive executive suites across Looker Studio and Tableau. Engineered dynamic SaaS financial models (ARR, churn, LTV/CAC, multi-scenario cash forecasting). Designed automated pipelines and structured KPI architectures to extract predictive operational insights from product data. Led cross-departmental statistical modeling and anomaly detection to scale data-informed operational decisions.
Processed and modeled high-volume geospatial data systems utilizing Apache Spark, Python, and SQL. Optimized ETL reporting pipelines and data workflows, saving 60 engineering hours per month. Applied advanced econometric and statistical modeling across massive datasets. Partnered with global distributed teams to translate multi-dimensional datasets into strategic insights.
Extracted, cleansed, and analyzed large transactional datasets using T-SQL and R for statistical modeling. Developed regression-based forecasting and econometric models for credit risk simulation and branch KPI tracking. Led financial planning, variance analysis, and monthly/quarterly executive business development reporting.