Ірина

IRYNA KIRIIENKO
DATA ANALYST
[open contact info](look above in the "contact info" section) | [open contact info](look above in the "contact info" section) | Kharkiv, Ukraine | Telegram | LinkedIn | GitHub

SUMMARY

Results-driven Data Analyst with practical experience in SQL, Python (Pandas, NumPy, Seaborn), and Tableau.
Specialized in A/B testing, dashboard development, and exploratory data analysis. Сreated analytical reports in
Google Sheets that accelerated the department’s workflow by 20%, wrote and optimized 100+ SQL queries.
Delivered projects that improved understanding of user behavior, sales trends, and marketing performance, turning
complex data into clear insights and actionable recommendations.

SKILLS
Spreadsheets: Pivot Tables, Data BI (Tableau, Power BI): A/B Testing: Planning, Analysis,
Cleaning, Visualization Interactive Dashboards, Data Reporting
Storytelling, Publishing

SQL: Advanced Queries, Window Statistics: Sampling, Hypothesis Other Tools: Jupyter Notebooks,
Functions, Query Optimization, Testing, Correlation, Statistical Google Analytics, Excel, Git
Common Table Expressions (CTE) Significance

Python: Pandas, NumPy, Matplotlib, Product & Marketing Metrics: Languages: English Intermediate
Seaborn, Exploratory Data Analysis Cohort Analysis, North Star (B1), Ukrainian - Native
(EDA) Metric, Retention, Activation, LTV

PREVIOUS EXPERIENCE

Data Analyst June 2025 - May 2026
Generated datasets for building dashboards and analytical reports, combining data from different sources.
Researched seasonality, segment audiences, and find bottlenecks in processes.
Formed hypotheses and provided recommendations for improving the product or marketing campaigns.
Worked with large data sets, ensured their quality and accuracy, and optimized data collection and processing
workflows.

HR at the Department of Education of the Kharkiv City Council Oct 2022 - May 2026
Maintained and updated teacher and vacancy database (Google Sheets); processed large datasets.
Prepared accurate statistical reports for municipal institutions.
Produced analytical materials to support personnel management decisions.

Software Engineer at the Management of Education of the Administration of the Slobidsky District of the Kharkiv
City Council Oct 2016 - Oct 2022
Systematized electronic registers and administered the official website, improving data access.
Analyzed technical needs and prepared procurement documentation; reduced IT purchase costs by 17%.
Implemented and configured software to optimize workflows.

EDUCATION

National Technical University «Kharkiv Polytechnic Institute», 2008 - 2014, Master’s Degree in Ecology and
environmental protection (with honors), Professional qualification: Engineer

ADDITIONAL EDUCATION

Data Analyst course at Mate academy

PORTFOLIO

Snack Products Sales Analysis (Power BI Project) Aug/2026

Developed a sales dashboard in Power BI using store data.
Created a product dictionary with categories, subcategories, brands, and flavors.
Built clear visuals: total sales KPIs, store performance charts, and a heatmap matrix by category.

Online store sales analytics (Python + Tableau Projects) Jun/2026

Connected to BigQuery, created a unified dataset using SQL.
Conducted exploratory and correlation analysis.
Developed an interactive dashboard in Tableau with key metrics: sales geography, traffic channels, and sales dynamics.

A/B test (Python + Tableau Projects) Jun/2026

Developed and automated an A/B testing tool in Python (Google Colab) to calculate statistical significance
(p-value, Z-test) of funnel metrics by device, channel, and country.
Created an interactive Tableau dashboard to visualize results and support product decisions.

Sessions, Sales and Emails metrics analysis (Tableau Projects) Jan-Feb/2026

Built three analytical dashboards in Tableau:
Sales Metrics – analyzed revenue and orders by category, country, and device;
Emails Metrics – evaluated email campaign effectiveness and user engagement by country;
Sessions Analysis – provided high-level traffic insights.

Analysis of sales of goods for the period (Python Projects) Jan/2026

Conducted in-depth Exploratory Data Analysis (EDA) of international sales data in Google Colab.
Performed data cleaning, outlier detection, and created visualizations.
Identified key dependencies between logistics lead time and financial metrics.

Analysis of data on accounts and emails by user country (SQL Projects) Nov/2025

Developed a comprehensive SQL analysis in BigQuery to assess user activity and email marketing effectiveness by
country.
Solving the problem of unclear understanding of geographic effectiveness by creating optimized queries using CTE,
window functions and UNION.
Created a dashboard in Looker Studio with TOP-10 country rankings and dynamic mailing.