- Файл
Олександр
Data analyst
- Вік:
- 42 роки
- Місто проживання:
- Київ
- Готовий працювати:
- Дистанційно, Київ
Контактна інформація
Шукач вказав телефон , ел. пошту та LinkedIn.
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/10756226/
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Data Analyst
As a sales manager, I regularly analyzed behavior and data. I used
Excel daily and found it to be an essential tool. High performance
has always been a priority for me, which led me to explore computer
science as a way to accelerate progress and maximize output.
I made the most of my time at "Soft Serve," absorbing knowledge
about the business processes of a large tech company and learning
coding and various tools. A friend of mine, a data engineer,
eventually influenced my decision to link my future with data by
transitioning into data analysis with a technical focus. A data
analyst is one of the key roles in any company, requiring both a deep
CONTACTS understanding of the business domain and proficiency in technical
tools.
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Telegram PROJECT EXPERIENCE
LinkedIn SQL(BigQuery) Purchase-to-session conversion rate
Kyiv, Ukraine Using a BigQuery public dataset, I created a purchase funnel. For
each unique page, I defined the purchase-to-session conversion rate.
I extracted the pages from the full path. First, I calculated the
HARD SKILLS number of unique sessions for each unique user on every page.
Next, I calculated the number of purchases per page.
SQL Finally, I determined the purchase-to-session conversion rate.
Python (Pandas)
Tableau games statistics
BigQuery
Using a Tableau public dataset, I built three charts.
Statistical Analysis
The first chart shows the monthly conversion rate of players of a
Product/Market Analysis specified game compared to all players.
A/B Tests The next chart displays the monthly average game time.
The last chart is a cohort analysis, showing the monthly average
game time spent by defined age groups.
TOOLS To make the report more flexible, you can filter all charts by player
language, game name, activity date, and age group.
Tableau
Power BI
WORK EXPERIENCE
Looker Studio
Amplitude Soft Serve / Guard-Receptionist, Team Lead
2019 - now
Google Analytics
I create and manage the team database.
Excel As a team lead, I optimized work processes and fostered a calm
work environment.
SOFT SKILLS SavService-Mova / Sales manager
2012 - 2018
Critical thinking
supported and developed strong relationships with customers
Team player analyzed sales
Attention to details revealed needs of customers
Curiosity increased customer base
monitored market trends and competitor activities
developed sales strategies and plans
LANGUAGES
English - upper-intermediate
Ukrainian - native
EDUCATION
IT School “GoIT” Nizhyn Mykola Gogol State University
Data Analysis Teacher of English and German
2024 2000 - 2004 (Incomplete)
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