Олександр

OLEKSANDR SIRYI
DATA ANALYST

EXPERIENCE

Brighterly (5.01.26 - 3.04.26)
CONTACT “Product Analyst”
[відкрити контакти](див. вище в блоці «контактна інформація») Conducted deep-dive research into user behavior and performed root-
cause analysis to investigate and resolve drops in key product metrics.
[відкрити контакти](див. вище в блоці «контактна інформація») Designed and built complex SQL models, acting as a data engineer to
maintain and scale the core analytical architecture.
Kyiv Developed, optimized, and troubleshot interactive dashboards to
provide the team with real-time business insights.
@sgray6 Implemented data automations for the supply team to streamline
operational processes and improve efficiency.
Linkedin
SKELAR x Horizon Capital Case Challenge (15.12.25 - 25.12.25)
EDUCATION “Finalist”
Performed deep-dive analysis of operational and financial data to
Kyiv School of Economics diagnose scalability issues in a fast-growing EdTech company.
B.A. in Economics and Big Data (2023 – Designed a strategic roadmap for business transformation, including AI
2027, in progress) adoption and market expansion, to secure a successful exit.
Focused on data analysis, product Calculated and optimized key metrics (LTV, CAC, margins) to support
metrics, and economic modeling. investment recommendations presented to the jury.
Gaining hands-on experience with
Internship in ОщадБанк (1.04.25 - 30.06.25)
Python, SQL, and Tableau.
“Data Analyst”

LANGUAGES Data cleaning, use of statistical methods and data visualisation skills for
research, forecasting and preparation of analytical reports.
English (B2)
SKELAR IT Analytics Intensive
Ukranian (Fluent)
“Graduate”
Completed a practical intensive course in product analytics.
Performed tasks using SQL, conducted analyses, and provided
recommendations.
SKILLS
Experienced in working with Google Sheets and Excel for automating calculations, building dashboards, and
analysing product metrics.
Used Python (pandas, matplotlib, seaborn) for cleaning, transforming, and visualizing large datasets.
Confidently write SQL queries to extract, merge, and aggregate data from large databases (including
BigQuery), and use dbt for data transformation, modeling, and maintaining analytical architecture.
Have basic knowledge of machine learning – built simple user classification and segmentation models.
Competent in interactive dashboards in Tableau, Power BI, and Looker Studio to visualise key metrics and
A/B test results.
Skilled in product analytics: I have conducted cohort analysis, funnel analysis, hypothesis testing, and impact
assessment of changes on key product metrics.
Experienced with Amplitude for validating event tracking, QA testing of new features, and analyzing user
behavior patterns.
Proficient in version control and collaborative code development using GitHub and GitLab, with hands-on
experience in monitoring, managing, and manually triggering CI/CD pipelines.