Сервіс пошуку роботи №1 в Україні
Микита
Аналітик
- Розглядає посади:
- Аналітик, аналітик продажів, аналітик баз даних, аналітик із закупівель, Analyst of computer system, дата-аналітик, маркетинг-аналітик
- Вік:
- 19 років
- Місто проживання:
- Запоріжжя
- Готовий працювати:
- Дистанційно
Контактна інформація
Шукач вказав: ТелефонЕл. поштуМесенджер
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/13173715/
Завантажений файл
Версія для швидкого
перегляду
Це резюме розміщено у вигляді файлу. Ця версія для швидкого перегляду може бути гіршою за оригінал резюме.
MYKYTA
[відкрити контакти ](див. вище в блоці «контактна інформація»)
[відкрити контакти ](див. вище в блоці «контактна інформація»)
SKIRTA LinkedIn
GitHub
Data Аnalyst Location: Alanya, Antalya, Turkie
SUMMARY
Data Analyst with hands-on experience in SQL, Python and Tableau through end-to-end analytics projects.
Built e-commerce and subscription analyses covering data quality, funnels, retention, monetization and A/B
testing, translating findings into clear business recommendations.
KEY SKILLS
SQL & Data: BigQuery, JOINs, CTEs, window functions, subqueries, CASE, aggregations, date/string functions,
query optimization basics, data quality, grain/fan-out
Python: pandas, NumPy, Matplotlib, Seaborn, EDA, data cleaning and transformation
BI & Analytics: Tableau, Excel, Google Sheets, funnels, cohorts, D1/D7/D30 retention, ARPU/ARPPU, LTV,
segmentation, KPI decomposition
Statistics & Experimentation: Hypothesis testing, confidence intervals, A/B testing, SRM checks, guardrails,
multiple-testing basics
EXPERIENCE
Data Analyst — Independent Portfolio Projects Mar 2026 – Sep 2026
Project: Mobile Subscription — Product Analytics & Experimentation
BigQuery SQL • Python • Tableau • Github • Dashboard
• Analyzed 34K users across the signup, onboarding, trial and paid funnel, retention, monetization and user
segments.
• Built the end-to-end conversion funnel and D1/D7/D30 retention analysis; identified onboarding-to-trial as
the main conversion bottleneck.
• Evaluated onboarding_flow_v2 using SRM checks, confidence intervals and Holm correction; observed a
+3.35 pp improvement in onboarding completion, while paid conversion remained inconclusive, so
recommended additional data collection and a staged rollout.
Project: Varta Market — E-commerce Product Analysis
BigQuery SQL • Tableau • GitHub • Dashboard
• Built an order-level analytical mart from 7 e-commerce tables, resolving one-to-many joins and validating
data quality.
• Identified ~30% YoY growth in orders and net revenue, while gross margin decreased by 5.24 pp as
discounting increased.
• Identified Electronics and Kids as key gross-profit pressure points and recommended controlled discount
tests and category-level profit targets; treated the observed discount relationship as non-causal.
PREVIOUS EXPERIENCE
Jun 2025 - Jun 2026
Administrator (Customer Support) — AllRight Online English School
Managed ~50 daily CRM tasks across client follow-ups, subscriptions, scheduling, account and technical
issues.
Resolved payment and subscription cases by checking operational data, policies and service terms and
coordinating with clients and internal teams.
EDUCATION
Computer Engineering Sep 2020 - May 2021
ZIET, Zaporizhzhia
Electromechanics Sep 2022 – Present
ZEFC, Zaporizhzhia
ADDITIONAL EDUCATION
Mate Academy
Data Analytics (Certificate) Jan 2026 – Sep 2026
LANGUAGES
Ukrainian - Fluent • English - B2 (Upper-Intermediate; professional communication)
[
[
SKIRTA LinkedIn
GitHub
Data Аnalyst Location: Alanya, Antalya, Turkie
SUMMARY
Data Analyst with hands-on experience in SQL, Python and Tableau through end-to-end analytics projects.
Built e-commerce and subscription analyses covering data quality, funnels, retention, monetization and A/B
testing, translating findings into clear business recommendations.
KEY SKILLS
SQL & Data: BigQuery, JOINs, CTEs, window functions, subqueries, CASE, aggregations, date/string functions,
query optimization basics, data quality, grain/fan-out
Python: pandas, NumPy, Matplotlib, Seaborn, EDA, data cleaning and transformation
BI & Analytics: Tableau, Excel, Google Sheets, funnels, cohorts, D1/D7/D30 retention, ARPU/ARPPU, LTV,
segmentation, KPI decomposition
Statistics & Experimentation: Hypothesis testing, confidence intervals, A/B testing, SRM checks, guardrails,
multiple-testing basics
EXPERIENCE
Data Analyst — Independent Portfolio Projects Mar 2026 – Sep 2026
Project: Mobile Subscription — Product Analytics & Experimentation
BigQuery SQL • Python • Tableau • Github • Dashboard
• Analyzed 34K users across the signup, onboarding, trial and paid funnel, retention, monetization and user
segments.
• Built the end-to-end conversion funnel and D1/D7/D30 retention analysis; identified onboarding-to-trial as
the main conversion bottleneck.
• Evaluated onboarding_flow_v2 using SRM checks, confidence intervals and Holm correction; observed a
+3.35 pp improvement in onboarding completion, while paid conversion remained inconclusive, so
recommended additional data collection and a staged rollout.
Project: Varta Market — E-commerce Product Analysis
BigQuery SQL • Tableau • GitHub • Dashboard
• Built an order-level analytical mart from 7 e-commerce tables, resolving one-to-many joins and validating
data quality.
• Identified ~30% YoY growth in orders and net revenue, while gross margin decreased by 5.24 pp as
discounting increased.
• Identified Electronics and Kids as key gross-profit pressure points and recommended controlled discount
tests and category-level profit targets; treated the observed discount relationship as non-causal.
PREVIOUS EXPERIENCE
Jun 2025 - Jun 2026
Administrator (Customer Support) — AllRight Online English School
Managed ~50 daily CRM tasks across client follow-ups, subscriptions, scheduling, account and technical
issues.
Resolved payment and subscription cases by checking operational data, policies and service terms and
coordinating with clients and internal teams.
EDUCATION
Computer Engineering Sep 2020 - May 2021
ZIET, Zaporizhzhia
Electromechanics Sep 2022 – Present
ZEFC, Zaporizhzhia
ADDITIONAL EDUCATION
Mate Academy
Data Analytics (Certificate) Jan 2026 – Sep 2026
LANGUAGES
Ukrainian - Fluent • English - B2 (Upper-Intermediate; professional communication)
Схожі кандидати
-
Аналітик
Дистанційно -
Аналітик
Дистанційно -
Data analyst
Дистанційно, Вінниця -
Спортивний аналітик
Дистанційно, Одеса -
Database analyst
Дистанційно, Харків -
Аналітик
40000 грн, Дистанційно, Івано-Франківськ