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Олександр
Дата-аналітик
- Considering positions:
- Дата-аналітик, аналітик
- Age:
- 27 years
- City of residence:
- Kyiv
- Ready to work:
- Kyiv, Remote
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YESIN OLEKSANDR
Data Analyst
LinkedIn: [open contact info ](look above in the "contact info" section)
Telegram: @oleksander_yesin
Phone: [open contact info ](look above in the "contact info" section)
EXPERIENCE
International iGaming Company
March 2022 – Present
Data Analyst
January 2025 – Present
Key responsibilities: Analytics of operational efficiency of the contact center and Quality
Control (QA) department.
• End-to-end communications analytics: Built a system to monitor all communication
channels, including incoming/outgoing calls, financial SMS, and chats. Configured reporting
on key KPIs: AHT, SL, Abandoned Rate, FCR.
• Quality and financial performance analysis: Conducted a study of the relationship between
Retention, LTV, and the quality of operators' work. Digitized the impact of script adherence
(QA Score) on conversion to repeat deposits.
• Loss analysis: Identified and highlighted bottlenecks in the business payment funnel related
to technical failures, including SMS gateways and phone calls, which helped reduce losses
at the deposit stage.
• BI development: Created and maintained an ecosystem of dashboards in Tableau. Used
Tableau Prep for ETL processes, including data cleaning, joins, and incremental data
updates.
Sales & Operations Analyst
August 2023 – January 2025
Key responsibilities: Sales department analytics and cross-departmental tasks.
• Automated sales department KPI reporting by replacing manual uploads with automated
dashboards, which doubled the speed of data acquisition.
• Implemented a customer segmentation system, which allowed managers to focus on the
most profitable categories of players.
• Successfully combined sales analytics with tasks from related departments, creating a
unified database for operational decision-making.
Sales Manager
July 2022 – August 2023
• Worked directly with clients, studying player psychology and the product's key pain points
from the inside. This experience laid the foundation for understanding retention and loyalty
metrics.
TECHNICAL SKILLS
SQL: PostgreSQL, ClickHouse. Writing complex queries, using CTEs and window functions
(ROW_NUMBER, RANK). Experience working with time series through ASOF JOIN to map
events in ClickHouse.
BI & Data Prep: Professional experience with Tableau Desktop (LOD expressions:
FIXED/INCLUDE, parameters, sets). Experience in data preparation using Tableau Prep
(Union, Join, Aggregate, Pivot).
Python: Basic knowledge of Pandas for ad-hoc analysis and processing data in CSV/JSON
formats.
Statistics: Understanding distributions, calculating medians and percentiles, and performing
correlation analysis to assess the quality of employee performance.
PROFESSIONAL EXPERTISE
Product Metrics: Retention (D1, D7, D30), Churn Rate, LTV, ARPU/ARPPU, Conversion
(Reg-to-FTD).
Operational Analytics: Deep understanding of contact center processes (AHT, SL, missed
calls).
Business Domain: Knowledge of iGaming specifics, including deposit funnel, payment
statuses, and working with Affiliate partners.
EDUCATION
Igor Sikorsky Kyiv Polytechnic Institute
Graduated
Neoversity
Currently pursuing education in IT through the Neoversity program.
ADDITIONAL INFORMATION
Soft Skills: Proactivity (always offering data-driven business solutions), multitasking skills,
and high calculation accuracy.
Languages: Russian (native), English (A2, currently studying).
Data Analyst
LinkedIn: [
Telegram: @oleksander_yesin
Phone: [
EXPERIENCE
International iGaming Company
March 2022 – Present
Data Analyst
January 2025 – Present
Key responsibilities: Analytics of operational efficiency of the contact center and Quality
Control (QA) department.
• End-to-end communications analytics: Built a system to monitor all communication
channels, including incoming/outgoing calls, financial SMS, and chats. Configured reporting
on key KPIs: AHT, SL, Abandoned Rate, FCR.
• Quality and financial performance analysis: Conducted a study of the relationship between
Retention, LTV, and the quality of operators' work. Digitized the impact of script adherence
(QA Score) on conversion to repeat deposits.
• Loss analysis: Identified and highlighted bottlenecks in the business payment funnel related
to technical failures, including SMS gateways and phone calls, which helped reduce losses
at the deposit stage.
• BI development: Created and maintained an ecosystem of dashboards in Tableau. Used
Tableau Prep for ETL processes, including data cleaning, joins, and incremental data
updates.
Sales & Operations Analyst
August 2023 – January 2025
Key responsibilities: Sales department analytics and cross-departmental tasks.
• Automated sales department KPI reporting by replacing manual uploads with automated
dashboards, which doubled the speed of data acquisition.
• Implemented a customer segmentation system, which allowed managers to focus on the
most profitable categories of players.
• Successfully combined sales analytics with tasks from related departments, creating a
unified database for operational decision-making.
Sales Manager
July 2022 – August 2023
• Worked directly with clients, studying player psychology and the product's key pain points
from the inside. This experience laid the foundation for understanding retention and loyalty
metrics.
TECHNICAL SKILLS
SQL: PostgreSQL, ClickHouse. Writing complex queries, using CTEs and window functions
(ROW_NUMBER, RANK). Experience working with time series through ASOF JOIN to map
events in ClickHouse.
BI & Data Prep: Professional experience with Tableau Desktop (LOD expressions:
FIXED/INCLUDE, parameters, sets). Experience in data preparation using Tableau Prep
(Union, Join, Aggregate, Pivot).
Python: Basic knowledge of Pandas for ad-hoc analysis and processing data in CSV/JSON
formats.
Statistics: Understanding distributions, calculating medians and percentiles, and performing
correlation analysis to assess the quality of employee performance.
PROFESSIONAL EXPERTISE
Product Metrics: Retention (D1, D7, D30), Churn Rate, LTV, ARPU/ARPPU, Conversion
(Reg-to-FTD).
Operational Analytics: Deep understanding of contact center processes (AHT, SL, missed
calls).
Business Domain: Knowledge of iGaming specifics, including deposit funnel, payment
statuses, and working with Affiliate partners.
EDUCATION
Igor Sikorsky Kyiv Polytechnic Institute
Graduated
Neoversity
Currently pursuing education in IT through the Neoversity program.
ADDITIONAL INFORMATION
Soft Skills: Proactivity (always offering data-driven business solutions), multitasking skills,
and high calculation accuracy.
Languages: Russian (native), English (A2, currently studying).
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