Business Analyst
Translate stakeholder needs into well-defined problems, actionable requirements, user stories and acceptance criteria that keep business and technical teams aligned.
WARSAW · BUSINESS ANALYST · PROCESS & DATA
Onur Usalan
Business Analysis · Process Improvement · Data Analytics · Business Strategy
I translate business needs into structured requirements, measurable insights and practical next steps. My case studies show the full path—from defining the question to validating the evidence behind a recommendation.
Warsaw, Poland
SGH
Master’s student in International Business at SGH Warsaw School of Economics
A project decisionE-commerceSwipe stages ↔
01 / 05
Question
What can sales and cancellations tell us?OUProfessional snapshot
Business thinking, backed by evidence.
- Open to
- Business Analyst
Junior Business Systems Analyst
Data Analyst - Evidence
- Operational reporting internship · Two end-to-end case studies · International Business at SGH
- Core areas
How I contribute
One connected approach—from need to decision.
I connect business analysis, process improvement, data analytics and business strategy so that every recommendation has a clear purpose and a defensible evidence trail.
Selected case studies
Analysis you can inspect, not just read about.
Two end-to-end cases show how I frame a business question, govern the measures, test the result and communicate a responsible recommendation.
Define a defensible comparison
EU Digital Procurement Competition Monitor
Independent end-to-end case study · Public data · Documented stakeholder scenarios
The business question
How can public-procurement teams screen digital procurement results for competition patterns while retaining a traceable, reproducible evidence trail?
My contribution
I documented requirements, defined the evidence cohort and KPI rules, and connected the analysis to data checks, UAT and reporting outputs.
Keep the denominator visible
The single-bid rate uses the 27,100 notices with competition evidence, not all 38,971 notices. Keeping that boundary visible prevents missing evidence from being treated as a competitive outcome. The result is a screening signal for further investigation, not a finding of misconduct.
Review the KPI definition, evidence cohort and validation checks.
Dataset scale: 38,971 EU-27 digital result notices analysed
Reconcile KPIs and reporting
E-Commerce Sales, Cancellations & Customer Value Decision System
Independent end-to-end case study · Public data · Documented stakeholder scenarios
The business question
Where should an e-commerce leadership team focus first to protect sales value, reduce cancellation exposure and retain valuable customers?
My contribution
I documented business requirements and KPI rules, built the SQL model and dashboard, and linked requirements to UAT checks and output evidence.
Keep sales separate from profit
The source contains transactions but no cost or cancellation-reason fields. I report sales and cancellations separately without presenting net sales as profit. Assessing profitability or explaining why orders were cancelled would require additional data.
Follow a requirement through the KPI definition, SQL output and UAT check.
Dataset scale: 1,067,371 transaction lines
Experience proof
Operational Data→Analysis→Visualisation→Management Reporting
Operational data analysis and management reporting
Etisan Proje A.Ş.
Software Unit Intern- Cleaned, preprocessed and structured operational datasets using SQL and Python/pandas.
- Built Tableau dashboards with country-to-institution drill-down reporting.
- Delivered stakeholder-focused analytical reports and dashboards reviewed by management.
OutputClean analytical datasets, Tableau dashboards and stakeholder-focused management reports.
Review experience in contextWorking principles
Clarity before complexity.
Based in Warsaw and studying International Business at SGH, I combine a management perspective with practical experience in SQL, Python, Tableau and business analysis documentation.
I make the decision, definitions and limitations explicit. If the available evidence cannot support a conclusion, I show what is missing and define the next question—because credible analysis is as much about boundaries as it is about results.
Read my profileProfessional contact
Let’s turn the next business question into a clear decision.
I am open to Business Analyst, Junior Business Systems Analyst and data-focused opportunities in Warsaw, across Poland and within international teams.
- Location
- Warsaw, Poland