Світлана

SVITLANA KOSTIUK
Data Analyst
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📍 Ukraine | Open to Remote

EXPERIENCE
SUMMARY Last-mile Delivery Operations Analysis 2026
Junior Data Analyst with practical experience
Analyzed 465,384 delivery records across 3 cities and answered 10
in data cleaning, analysis, visualization, and
dashboard creation. Skilled in Python, SQL, business questions related to SLA performance, delays, courier workload,
Pandas, A/B testing, KPI analysis, and working and economic losses.
with structured datasets. Able to transform
data into clear insights and support business Built an interactive operations dashboard with key KPIs, city comparison,
decision-making through analytical reports delivery time breakdown, SLA breach analysis, and optimization impact.
and visualizations. Interested in Data Analyst, Identified 96,043 SLA breaches (20.6%) and $626,739 in annualized
Product Analyst, and Business Analyst roles.
economic losses from delivery delays.
Modeled a 15% delivery time optimization scenario, estimating 24,461
EDUCATION
fewer problem deliveries, $187,648 in potential savings, and a 17.6%
Bachelor’s Degree in Logistics increase in system throughput without increasing courier headcount.

West Ukrainian National University Metrocar Funnel Analysis 2025
2023-present
Logistics and supply chain fundamentals Built an interactive Tableau dashboard to analyze the Metrocar user
Transportation systems and operations funnel, conversion rate, and drop-off points.
Business process management Used SQL in DBeaver to prepare and analyze data for visualization.
Data Loves Academy - Analyzed 82,729 users, 6,233 completed actions, and a 7.5% overall
Data Analytics Course conversion rate.
2025 - 2026 Identified key funnel bottlenecks and visualized user distribution by
SQL for data analysis platform, age group, and monthly request dynamics.
Python for data analytics
Tools: SQL • DBeaver • Tableau Public
Data visualization (Power BI / Tableau)
Statistics and A/B testing fundamentals
Ecommerce Conversion & Engagement 2026

CERTIFICATIONS Built an ecommerce analytics dashboard using the Google Merchandise
Store dataset in BigQuery, analyzing 100k+ user sessions and events.
Google Data Analytics Professional
Analyzed user behavior, traffic sources, and conversion funnels across 5+
Certificate — 2026
acquisition channels and 3 device categories.
Covered topics: data cleaning, data analysis,
data visualization, spreadsheets, SQL, R Identified customer engagement patterns across devices and channels,
programming, data-driven decision-making, comparing 10+ key metrics, including sessions, users, bounce rate,
and analytical thinking. conversion rate, revenue, and transactions.
Created visual dashboards for performance tracking and insights,
Google Business Intelligence
covering 8+ KPI charts and a 4-step conversion funnel.
Professional Certificate — 2026
Tools: SQL, Python, Power BI/Tableau, BigQuery
Covered topics: business intelligence,
dashboard design, data modeling, stakeholder A/B Testing Analysis
reporting, KPI tracking, data-driven decision-
2026
Analyzed Cookie Cats A/B test results to measure the impact of moving
making, and BI tools.
the game gate from level 30 to level 40 on 7-day retention.
EF SET English Certificate — Calculated the required sample size: 24,638 users per group to detect a
C1 Advanced 1% retention uplift.
Used z-test and chi-square test to confirm a statistically significant
LANGUAGES difference.
Tools: Python, Pandas
English C1
Ukrainian (native) GitHub https://github.com/switlanakostyuk-ctrl/Apollo

Polish (A1) LinkedIn [відкрити контакти](див. вище в блоці «контактна інформація»)