Business Intelligence & Data Analyst | Manufacturing Domain → Financial & Risk Analytics
I am a Business-Oriented Data Analyst with a strong academic foundation in Management Economics (GPA 3.81) and hands-on exposure to manufacturing operations.
My professional background in an industrial environment shaped a pragmatic analytical mindset:
data is valuable only when it supports operational stability, financial sustainability, and strategic decision-making.
I specialize in Business Intelligence and decision-support analytics, translating raw operational and financial data into actionable insights for management, finance teams, and business stakeholders.
Currently, I am intentionally expanding my portfolio toward financial and risk analytics, including credit risk, cashflow exposure, and capital market analysis, while maintaining a strong BI foundation.
- Business Intelligence & Data Analytics
- Operational & Financial Performance Analysis
- Risk-Aware Decision Support
- Capital Allocation & Market Risk Analytics (portfolio direction)
📍 Open to remote, on-site, and international opportunities
- Python (Pandas, NumPy)
- SQL (analytical querying & business metrics)
- Exploratory Data Analysis (EDA)
- Power BI (executive dashboards)
- Matplotlib
- Revenue & sales performance analysis
- Asset lifecycle & efficiency analysis
- Credit risk & cashflow exposure analysis
- Strategic KPI design for decision-making
Sales analytics to support promotion and revenue strategy
- Product-level revenue contribution
- Peak sales timing analysis
- Promotion & bundling recommendations
🔗 https://github.com/sigit48/coffee-shop-sales-analysis
Asset lifecycle, capital efficiency, and market structure analysis
- Asset age exposure and modernization risk
- ROA vs lifecycle trade-off
- Corporate longevity & market power evaluation
🔗 https://github.com/sigit48/corporate-strategy-and-business-analytics
Accounts receivable exposure and dependency risk analysis
- Customer concentration risk
- AR aging and overdue exposure
- Executive-level financial risk insights
🔗 https://github.com/sigit48/financial-analysis
- Strong business context awareness from manufacturing experience
- Structured, hypothesis-driven analytical thinking
- Ability to communicate insights in executive and non-technical language
- High discipline in learning, documentation, and portfolio development
- LinkedIn: https://www.linkedin.com/in/sigit-dwiantoro
- GitHub: https://github.com/sigit48
Turning data into decisions — grounded in business reality and risk awareness.