Данило

DANYLO SKURTOV
Data Analyst
SUMMARY
Data Analyst with over 3 years of experience specializing in logistics, supply chain,
and warehouse analytics. Proficient in SQL, Power BI, Tableau, and Excel, with a
strong focus on building KPI dashboards, streamlining ETL processes, and driving
process optimization. Adept at translating complex operational data into actionable
insights to improve efficiency and support strategic decision-making in fast-paced
environments.

PROJECT EXPERIENCE
GA4 eCommerce Funnel Analysis (BigQuery, SQL)

CONTACTS Developed analytical queries to explore eCommerce user behavior and conversion
funnels using GA4 datasets in BigQuery.
• Extracted and transformed event-level data (sessions, purchases, cart additions).
[открыть контакты](см. выше в блоке «контактная информация») • Built datasets to measure multi-step conversions by traffic source and campaign.
• Provided a full-funnel overview enabling optimization of marketing channels and
[открыть контакты](см. выше в блоке «контактная информация»)
retention.
Telegram
Linkedin Revenue Analytics Dashboard (Tableau, LOD, Table Calculations)
Built a comprehensive revenue analytics dashboard using product and regional data.
Wrocław, Poland
• Calculated core metrics (Total Revenue, Paid Users, ARPPU) and visualized
revenue trends, distribution, and regional share.
• Developed advanced charts including ARPPU vs Paid Users, transaction box plots,
HARD SKI LLS and monthly product-level revenue.
• Implemented LOD expressions for New MRR and cohort-based revenue analysis,
Python, SQL, BI & Visualization, Data plus MoM % revenue change.
Tools & System, Techniques: Data • Consolidated insights into an interactive dashboard with unified filters for
Cleaning & Transformation (ETL), KPI location, product, and date.
Dashboard Development, Reporting
Automation, Performance Analysis,
Additional: Process Optimization (6S, WORK EXPERIENCE
FIFO)
Warehouse Data Analyst
Zongteng Group, Wrocław, Poland — September 2025 – Present
TOOLS Designed and maintained interactive dashboards in Power BI and Excel to track
core warehouse KPIs and support executive decision-making.
• PostgreSQL Analyzed material flow, workforce productivity, and error rates across a 400-
• Google Sheets employee operation to identify bottlenecks and optimize overall efficiency.
• Tableau Leveraged operational data to monitor and implement 6S and FIFO standards,
• Pandas driving measurable improvements in inventory accuracy and processing speed.
• NumPy
• Matplotlib Logistics Data Analyst
• Jupyter Notebook Imile, Wrocław, Poland — July 2023 – August 2025
• Excel Built data models and automated reports to track performance metrics and
• Power BI optimize delivery routes.
• DBeaver
Developed comprehensive KPI dashboards using Excel and Google Sheets,
• BigQuery
significantly improving operational transparency across the facility.
Analyzed complex inventory and product flow datasets to accurately forecast

SOFT SKI LLS demand and optimize daily logistics operations.
Translated data insights into actionable strategies for a team of 30-50 employees,
establishing a culture of data-driven performance monitoring.
• Analytical Thinking & Problem Solving
• Communication & Collaboration Senior Medical Representative
• Attention to Detail Ozimykpharm LLC, Ukraine — March 2021 – March 2023
• Time Management & Prioritization • Conducted sales analytics and implemented data-driven growth strategies.
• Leadership & Team Coordination • Supervised 9 representatives and improved CRM performance analytics.
• Adaptability & Continuous Learning • Introduced structured forecasting and planning processes to support strategic
decisions.

LANGUAGES EDUCATION
IT School GO IT
• English – Upper-intermediate
Python in Data Science (In Progress)
• Ukrainian – Native
Power BI Course (Completed)
• Polish – Advanced
Data Analytics & BI Course (July 2025 – January 2026)
• Russian – Advanced
Vinnytsia National Medical University (VNMU)
Master's Degree in Medical Pharmacy (2019 – 2024)