I love bringing order to data — organizing it, spotting patterns, optimizing processes, and making KPIs transparent for decision-making.
I’m developing as a Data Analyst / BI Analyst with a focus on practical business analytics, reporting automation, SQL, Python, and dashboarding.
Goal: Data Analyst / BI Analyst
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Metrocar: Funnel & Demand Analysis (SQL + Tableau) — funnel drop-offs, wait time → cancellations, peak demand hours & operational recommendations.
👉 Repo: metrocar-analysis -
Python Learning Journey — homework, mini projects, and hands-on practice with Python for data analysis: Pandas, NumPy, visualization, SQL integration, API/ETL, statistics, A/B testing, and basic machine learning.
👉 Repo: python-learning-journey -
SQL Case Study: Online Store (Installment Plans, Mobile Phones) — data cleaning & analysis queries using JOINs, CTEs, window functions, and KPI calculations.
👉 Repo: SQL-analytics-installment -
Excel Sales Analytics Dashboard — four interactive dashboards with KPIs, trends, managers’ performance, correlations, and business insights: ₴294.9M revenue, 48.6% markup, 15 AR days.
👉 Repo: Excel-Analytics-Dashboard
- Data Analysis: Python, Pandas, NumPy, Excel, Google Sheets
- BI & Visualization: Power BI, Tableau, Looker Studio (learning), Matplotlib, Seaborn, Plotly
- SQL: JOINs, CTEs, window functions, query optimization basics (T-SQL / PostgreSQL)
- Analytics: KPIs, funnel analysis, A/B testing, hypothesis testing, reporting automation
- Business Domains: logistics, supply planning, inventory management, fintech analytics
- Process & Documentation: SOPs/regulations, data requirements, organizational structures
- Collaboration Tools: Jira, Confluence, Miro
Data Analyst / BI Analyst roles where I can build practical analytics, find insights, automate reporting, and improve business efficiency.
- LinkedIn: https://www.linkedin.com/in/liudmyla-sibikovska/
- Email: lyudchiksib@gmail.com