Олена

Olena Kuvaieva
Data Analyst
Data Analyst (Junior) with a strong background in marketing, consumer insights, and data-
driven decision-making. Experienced in analyzing market data, performance metrics and user
behavior to support business strategy and optimize results. Skilled in SQL, Python, Excel/Google
Sheets, exploratory data analysis, A/B testing and data visualization tools. Highly motivated and
detail-oriented, known for strong analytical thinking. Seeking to apply analytical skills and
business understanding to support data-driven decision-making as a Data Analyst, while
bringing strong adaptability and flexibility, a structured approach, and a focus on delivering
measurable results.

Contacts Project Experience
[відкрити контакти](див. вище в блоці «контактна інформація»). My Tableau Portfolio, follow the link
[відкрити контакти](див. вище в блоці «контактна інформація»)
2. Key Final Projects for Certificate IT School GoIT Final (tech stack: SQL, BeQuery, Tableau):
Telegram | Linkedin
• Final Project 1. Revenue_Metrics, follow the link
Kyiv, Ukraine • Final Project 2. Ecommerce_Funnel, follow the link

3. IT School GoIT Projects:
Hard Skills • Cohort & Retention Analysis, follow the link
Performed cohort analysis to evaluate user retention and acquisition quality (promo vs organic).
Prepared data in SQL (CTE, JOIN, data cleaning) and built retention models.
Analytics & Methodology Tech stack: SQL, Google Sheets.
· Exploratory Data Analysis (EDA) • Exploratory Data Analysis, follow the link
· Business Metrics: conversion, Conducted exploratory data analysis on a large dataset to identify developer market trends.
retention, churn, ARPU, LTV Performed data cleaning, aggregation, and segmentation.
· Performance evaluation: KPI, ROI Tech stack: Overflow Survey, Python (Pandas), Jupyter Notebook.
· Data Visualization, Data Storytelling, • A/B Testing Analysis of Conversion Optimization, follow the link
Statistics, SQL, Python and Data Conducted a full A/B testing cycle to evaluate the impact of a subscription screen redesign on
Cleaning & Validation user conversion. Formulated hypotheses, defined metrics, and performed statistical analysis.
· A/B testing and results analysis Tech stack: Python, statistical analysis, data visualization.
· Translating data into insights,
recommendations, and action plans Work Experience
Business & Marketing Background 2022 – till now Brand Marketing Head |Well-known Domestic Brand
· Market, competitor, consumer and IDS Ukraine · Led brand development and data-driven marketing decisions based on
user behaviour analysis consumer insights and performance analysis.
· Working with research data (Ipsos, Achievements:
Kantar, Millward Brown, MRC) · Increased shelf visibility through packaging and label redesign based on
· Macro- and micro-analysis (PESTEL, consumer research and design insights
SWOT) · Launched a fully digital communication campaign (YouTube, digital OOH,
· Development and evaluation of social media) targeting a younger audience, based on pre- and post-campaign
marketing strategies analysis
· Digital Marketing · Achieved growth in key brand metrics (sales, market share, brand awareness,
ad recall, in-store visibility) over 2 consecutive years after reactivating brand
Tech Stack communications
2013 – 2022 Senior Brand Manager |Well-known CIS Brand
· Tableau, Power BI, Amplitude IDS Borjomi · Development and execution of marketing strategies based on market,
· Excel / Google Sheets: data consumer and performance data analysis across international markets.
International
handling, pivot tables, analytical Achievements:
reporting, incl. cohort analysis · Led multiple brand repositioning phases based on international research and
· SQL (PostgreSQL, BigQuery, cross-cultural insights, enhancing brand perception and visual identity
DBeaver): queries, subqueries, · Updated packaging and communication strategy to align with more modern
aggregations, JOINs, functions and premium positioning
· Python (Pandas, NumPy, Matplotlib, · Expanded brand presence across multiple markets, adapting strategies to
Seaborn), Jupyter Notebook— basics local cultural contexts
of data processing and analysis, · Developed new audience segments (including younger consumers) through
working with dataframes, integrated campaigns (digital, media, influencers)
visualizations, A/B test analysis · Established a consistent brand communication system (annual large-scale
· AB testing: hypothesis, approaches, campaigns, ongoing media and social presence) driven by continuous research
basics in math statistics and performance analysis
· GitHub — basics repository
management Education
Language Nov’25 - Jun’26 · IT School GoIT. Data Analytics (Сertificated)
· Goethe-Institut Ukraine. Elementare Sprachverwendung (Goethe-Institute, A2)
2024-2025
· English - B2 2009-2012 · CIM | The Chartered Institute of Marketing (UK). Professional Diploma, Level 6
· Deutsch – A2
· Ukrainian - Native · Kyiv International University of Civil Aviation. Master's degree in electronic
1996-2002
technique. Specialization – technical services of communication systems in airports