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YAROSLAV TIUTIUNNYK
DATA ANALYST

CONTACTS PROFILE
yaroslav931 Data Analyst with a strong ability to turn complex data into clear, actionable
insights. Experienced in data collection, cleaning, and preprocessing, as well as
@ya_tyutyunnik applying statistical methods and machine learning models. Skilled in
exploratory data analysis, predictive analytics, and creating impactful
[відкрити контакти](див. вище в блоці «контактна інформація») visualizations. Proven team player, collaborating with cross-functional teams to
develop and implement data-driven solutions. Looking to contribute to
[відкрити контакти](див. вище в блоці «контактна інформація»)
strategic decision-making and support business growth through data.
[відкрити контакти](див. вище в блоці «контактна інформація»)
tiutiunnyk PROJECT EXPERIENCE
Kharkiv, Ukraine Revenue Metrics Dashboard (Tableau Public)
Tools: SQL, Tableau Public, Google Sheets
Description: Developed an interactive analytics dashboard based on subscription and revenue data to help product
HARD SKILLS managers analyze revenue trends, track key financial metrics, and identify drivers of profit growth or decline. Included
visualizations for monthly revenue flows, paid user dynamics, and customer-value metrics.
My tasks:
SQL Data preprocessing and metric calculation (MRR, New MRR, Contraction Revenue, LTV, ARPPU, Churn Rate)
Building interactive charts and dashboards in Tableau
Implementing user-level filters (date range, age group, device language)
Python Interpreting revenue dynamics and identifying behavior patterns

A/BHTests
ARD SKILLS Result:
Provided clear visibility into revenue trends and user behavior
Highlighted key growth and loss drivers
Product Analysis Supported data-driven decision-making for product and revenue strategy

Advertising companies analysis SQL-Based UTM Campaign Performance Report
Theory of Probability and Tools: SQL
Description: Developed a unified SQL report to analyze Facebook and Google Ads performance using cleaned and
Mathematical Statistic standardized UTM parameters. Extracted campaign metadata, merged datasets, and calculated key marketing KPIs to
evaluate channel efficiency.
My tasks:
Consolidated ad data from multiple sources
TOOLS Cleaned and normalized UTM parameters using regex
Calculated CTR, CPC, CPM, ROMI and other KPIs
Built monthly performance summaries with MoM changes
Identified top- and low-performing campaigns
Google Sheets Result:
Improved transparency of multi-channel ad performance
Power BI Enhanced accuracy of UTM-based analytics
Supported data-driven budget allocation and ROI optimization
Excel
Tableau WORK EXPERIENCE
Amplitude
Instagram Store Owner – Branded Second-Hand Clothing
Google Analytics
06/2019 - 09/2021
Looker Studio Responsibilities:
1) Search and purchase of branded clothing in second-hand stores.
SOFT SKILLS 2) Place ads for selling clothing on Instagram and on platforms for selling things (OLX, Shafa).
3) Communicate with customers regarding the sale of clothing.
Broad-minded 4) Send goods by mail or sell goods at a personal meeting in the city.
5) Promote the store by purchasing advertising from influencers.
Capable
Communicative EDUCATION
Creative Kharkiv National University of Radioelectronics
Bachelor's degree in Computer Science Bachelor's degree in Economics
LANGUAGES 09/2021 - 06/2025 09/2023 - 06/2027
Ukrainian - Native IT School "GoIT"
English - Intermediate Data Analytics Course
02/2025 - 07/2025