Сервіс пошуку роботи №1 в Україні
Богдан
Data analyst
- Вік:
- 19 років
- Місто проживання:
- Рені
- Готовий працювати:
- Дистанційно
Контактна інформація
Шукач вказав: ТелефонЕл. пошту
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/14296570/
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Bohdan Danoi
Junior Data Analyst
[відкрити контакти ](див. вище в блоці «контактна інформація») [відкрити контакти ](див. вище в блоці «контактна інформація») Constamta [відкрити контакти ](див. вище в блоці «контактна інформація»)
github.com/DaethRa public.tableau.com/app/profile/bohdan.danoi/vizzes youtube.com/@BohdanDanoi
Summary
Detail-oriented Junior Data Analyst with 1+ year of practical experience in analyzing datasets, building analytical projects, and
turning data into business-focused insights using Python, SQL, and BI tools
Projects
Ecommerce Conversion & Funnel Analytics
Analyzed 902,755 sessions, 11,551 transactions, and $1.76M revenue using SQL, BigQuery, and Python to identify
•
conversion and revenue drivers
Built 9 analytical tables for KPI reporting, device analysis, channel analysis, conversion analysis, and funnel analysis;
•
found desktop conversion rate 1.59% vs mobile 0.41%
Developed Tableau dashboard for KPI tracking, funnel diagnostics, and segment analysis; identified high-opportunity
•
segments including Organic Search + Mobile and Direct + Mobile
E-commerce Logistics & Retention Analysis
Designed a PostgreSQL Data Mart by joining 9 relational tables (100K+ records); performed A/B testing (Z-test) in Python,
•
validating a 20% drop in Customer Retention Rate due to delivery delays
Built interactive Tableau dashboards for cohort analysis and EDA, pinpointing regional logistics bottlenecks with delay
•
rates exceeding 20%
Calculated $6,000+ in lost revenue from churned customers and proposed data-driven retention strategies to optimize the
•
LTV/CAC ratio
Trend or Noise? Data Analytics Job Market Analysis (2022-2026)
Created an end-to-end job market analysis project to identify the top 10 fastest-growing skills for Data Analyst roles using
•
Python, SQL, statistics, and Tableau.
Applied statistical methods, including Chi-Square testing, Z-scores, and forecasting, and developed an interactive
•
dashboard to visualize market trends, demand shifts, and skill growth.
Professional Experience
Data Analyst Marketing, NDA (Freelance project) | 03/2026 - 06/2026 | Remote
Engineered SQL queries to extract and aggregate database records, building comprehensive marketing funnels from initial
•
ad click to final loan issuance.
Automated reporting workflows in Google Sheets, developing dashboards to continuously monitor key performance
•
indicators including CAC, CPL, LTV, and ROI.
Conducted cohort analysis on first-time and repeat credit applications, tracking conversion rates to enable data-driven
•
marketing planning.
Analytics-oriented Data Specialist, Smart Home Gravity | 02/2025 - 09/2025 | Ukraine, Remote
Engineered and automated Google Sheets-based systems (100K+ rows) for inventory tracking, cost estimation, and project
•
planning using advanced formulas and Apps Script
Streamlined engineering workflows by centralizing data and implementing validation logic, reducing errors and manual
•
work by 2–3x
Skills
Python (Pandas, NumPy, Matplotlib, Seaborn, SciPy, Scikitlearn)
SQL (Joins, Window Functions, CTE, Query Optimization, BigQuery)
Data Analysis & Visualization (Excel \ Google Sheets, Power BI, Tableau, Looker studio)
Statistics & Analysis (Statistics, A/B Testing, Exploratory Data Analysis, Hypothesis Testing)
Certificates
Data Analyst Certification, Data Camp SQL Beginner to Advanced
Mathematics for Data Science
Education
BA in Mathematics and Informatics, Universitatea „Ovidius” din Constanța 09/2026
Languages
English Russian Ukrainian Romanian
Junior Data Analyst
[
github.com/DaethRa public.tableau.com/app/profile/bohdan.danoi/vizzes youtube.com/@BohdanDanoi
Summary
Detail-oriented Junior Data Analyst with 1+ year of practical experience in analyzing datasets, building analytical projects, and
turning data into business-focused insights using Python, SQL, and BI tools
Projects
Ecommerce Conversion & Funnel Analytics
Analyzed 902,755 sessions, 11,551 transactions, and $1.76M revenue using SQL, BigQuery, and Python to identify
•
conversion and revenue drivers
Built 9 analytical tables for KPI reporting, device analysis, channel analysis, conversion analysis, and funnel analysis;
•
found desktop conversion rate 1.59% vs mobile 0.41%
Developed Tableau dashboard for KPI tracking, funnel diagnostics, and segment analysis; identified high-opportunity
•
segments including Organic Search + Mobile and Direct + Mobile
E-commerce Logistics & Retention Analysis
Designed a PostgreSQL Data Mart by joining 9 relational tables (100K+ records); performed A/B testing (Z-test) in Python,
•
validating a 20% drop in Customer Retention Rate due to delivery delays
Built interactive Tableau dashboards for cohort analysis and EDA, pinpointing regional logistics bottlenecks with delay
•
rates exceeding 20%
Calculated $6,000+ in lost revenue from churned customers and proposed data-driven retention strategies to optimize the
•
LTV/CAC ratio
Trend or Noise? Data Analytics Job Market Analysis (2022-2026)
Created an end-to-end job market analysis project to identify the top 10 fastest-growing skills for Data Analyst roles using
•
Python, SQL, statistics, and Tableau.
Applied statistical methods, including Chi-Square testing, Z-scores, and forecasting, and developed an interactive
•
dashboard to visualize market trends, demand shifts, and skill growth.
Professional Experience
Data Analyst Marketing, NDA (Freelance project) | 03/2026 - 06/2026 | Remote
Engineered SQL queries to extract and aggregate database records, building comprehensive marketing funnels from initial
•
ad click to final loan issuance.
Automated reporting workflows in Google Sheets, developing dashboards to continuously monitor key performance
•
indicators including CAC, CPL, LTV, and ROI.
Conducted cohort analysis on first-time and repeat credit applications, tracking conversion rates to enable data-driven
•
marketing planning.
Analytics-oriented Data Specialist, Smart Home Gravity | 02/2025 - 09/2025 | Ukraine, Remote
Engineered and automated Google Sheets-based systems (100K+ rows) for inventory tracking, cost estimation, and project
•
planning using advanced formulas and Apps Script
Streamlined engineering workflows by centralizing data and implementing validation logic, reducing errors and manual
•
work by 2–3x
Skills
Python (Pandas, NumPy, Matplotlib, Seaborn, SciPy, Scikitlearn)
SQL (Joins, Window Functions, CTE, Query Optimization, BigQuery)
Data Analysis & Visualization (Excel \ Google Sheets, Power BI, Tableau, Looker studio)
Statistics & Analysis (Statistics, A/B Testing, Exploratory Data Analysis, Hypothesis Testing)
Certificates
Data Analyst Certification, Data Camp SQL Beginner to Advanced
Mathematics for Data Science
Education
BA in Mathematics and Informatics, Universitatea „Ovidius” din Constanța 09/2026
Languages
English Russian Ukrainian Romanian
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