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Roman
Аналітик
- City of residence:
- Lviv
- Ready to work:
- Remote
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Roman Vitovych
[open contact info ](look above in the "contact info" section) · [open contact info ](look above in the "contact info" section) · LinkedIn · GitHub · Telegram
DATA ANALYST
Junior Data Analyst with strong SQL and Python skills and a solid background in retail operations and
business analytics. Built dashboards and analytical models for sales, churn, and revenue metrics using
Power BI, Tableau, and Looker Studio to support data-driven decisions. Able to translate business
problems into structured analyses and actionable insights, with a strong focus on KPIs, customer
behavior, and process optimization.
SKILLS
Languages: Python, SQL
Libraries: Pandas, NumPy, Matplotlib, Seaborn
Tools: Power BI, Tableau, Looker Studio, Amplitude, Big Query, Google Sheets, Git, Jupyter
Analytics: A/B Testing, Cohort Analysis, Churn, Revenue Metrics
PROJECT EXPERIENCE
Revenue & Churn Analysis — SQL, Tableau
Subscription business dataset (transactions, users, payments).
Built cohort retention and churn analysis; calculated ARPU, LTV, and churn rate. Identified key churn drivers and revenue
leakage points.
Result: Delivered dashboard used to explore retention by cohort and segment.
GitHub
Dashboard
Global Sales & Profit Analysis — Power BI
Global sales dataset (orders, revenue, profit, discounts).
Performed EDA and built multi-page Power BI dashboard with KPIs for sales performance, profit margin, and discount
impact.
Result: Identified unprofitable discount segments and products with negative margins.
Dashboard
Orders & Logistics Performance — Power BI
Operations dataset (orders, employees, logistics partners, delivery times).
Built a multi-page report analyzing order volume, employee efficiency, and logistics partner performance.
Result: Highlighted inefficient logistics routes and underperforming partners impacting delivery time and cost.
Dashboard
User Behavior & Funnel Analysis — Amplitude
Event-based product dataset (user actions, sessions, conversions).
Built funnels and retention reports, analyzed drop-offs between key steps, and segmented users by behavior.
Result: Identified main friction point in onboarding funnel and high-conversion user segments.
Dashboard
User Engagement & Retention — Looker Studio
User activity dataset (sessions, events, engagement metrics).
Built dashboards to analyze user engagement, retention, and activity trends.
Result: Identified user segments with low retention and periods of engagement decline.
Dashboard
EDUCATION
GoIT — Data Analytics (Google Sheets, SQL, Tableau, Python, A/B Testing)
Sept. 2024 - June 2025
Lviv Banking Institute — Accounting and Auditing
Sept. 2000 - July 2004
PROFESSIONAL EXPERIENCE
Casino Dealer / Shift Operations Analyst — Casino First, Ukraine / Slovmatic City Casino, Slovakia
Oct 2020 – Present
Tracked daily revenue, cash flow, and table performance metrics at the shift and game level to support operational
decisions.
Monitored player activity, session length, and peak-hour utilization to optimize staffing and table allocation.
Reconciled cash balances and identified discrepancies, improving reporting accuracy and financial control.
Provided data-driven input to supervisors regarding table performance, staffing, and peak-hour planning.
Focus: revenue tracking, operational reporting, financial accuracy.
Deputy Store Manager / Retail Operations Analyst — Fozzy Group / Retail Center / Retail Ukraine, Ukraine
Aug 2013 – Sept 2016 / Oct 2017 – Nov 2018 / Dec 2018 – Feb 2020
Consolidated sales, delivery, and expiration data across 3 stores to monitor stock turnover and waste.
Built and maintained KPI tracking for sales volume, shrinkage, stock turnover, and staff productivity.
Identified high-expiration categories and adjusted ordering frequency, reducing losses from expired products.
Analyzed supplier delivery patterns and highlighted delays affecting product availability and sales.
Used performance data to optimize staff scheduling and improve workforce efficiency for teams of up to 40 employees.
Supported the launch of a new store by defining baseline metrics and monitoring operational performance in the first
months.
Focus: sales analytics, inventory optimization, waste reduction, operational KPIs.
LANGUAGE KNOWLEDGE
Ukrainian — Native
English — Intermediate
Slovak — Intermediate
German — Basic
[
DATA ANALYST
Junior Data Analyst with strong SQL and Python skills and a solid background in retail operations and
business analytics. Built dashboards and analytical models for sales, churn, and revenue metrics using
Power BI, Tableau, and Looker Studio to support data-driven decisions. Able to translate business
problems into structured analyses and actionable insights, with a strong focus on KPIs, customer
behavior, and process optimization.
SKILLS
Languages: Python, SQL
Libraries: Pandas, NumPy, Matplotlib, Seaborn
Tools: Power BI, Tableau, Looker Studio, Amplitude, Big Query, Google Sheets, Git, Jupyter
Analytics: A/B Testing, Cohort Analysis, Churn, Revenue Metrics
PROJECT EXPERIENCE
Revenue & Churn Analysis — SQL, Tableau
Subscription business dataset (transactions, users, payments).
Built cohort retention and churn analysis; calculated ARPU, LTV, and churn rate. Identified key churn drivers and revenue
leakage points.
Result: Delivered dashboard used to explore retention by cohort and segment.
GitHub
Dashboard
Global Sales & Profit Analysis — Power BI
Global sales dataset (orders, revenue, profit, discounts).
Performed EDA and built multi-page Power BI dashboard with KPIs for sales performance, profit margin, and discount
impact.
Result: Identified unprofitable discount segments and products with negative margins.
Dashboard
Orders & Logistics Performance — Power BI
Operations dataset (orders, employees, logistics partners, delivery times).
Built a multi-page report analyzing order volume, employee efficiency, and logistics partner performance.
Result: Highlighted inefficient logistics routes and underperforming partners impacting delivery time and cost.
Dashboard
User Behavior & Funnel Analysis — Amplitude
Event-based product dataset (user actions, sessions, conversions).
Built funnels and retention reports, analyzed drop-offs between key steps, and segmented users by behavior.
Result: Identified main friction point in onboarding funnel and high-conversion user segments.
Dashboard
User Engagement & Retention — Looker Studio
User activity dataset (sessions, events, engagement metrics).
Built dashboards to analyze user engagement, retention, and activity trends.
Result: Identified user segments with low retention and periods of engagement decline.
Dashboard
EDUCATION
GoIT — Data Analytics (Google Sheets, SQL, Tableau, Python, A/B Testing)
Sept. 2024 - June 2025
Lviv Banking Institute — Accounting and Auditing
Sept. 2000 - July 2004
PROFESSIONAL EXPERIENCE
Casino Dealer / Shift Operations Analyst — Casino First, Ukraine / Slovmatic City Casino, Slovakia
Oct 2020 – Present
Tracked daily revenue, cash flow, and table performance metrics at the shift and game level to support operational
decisions.
Monitored player activity, session length, and peak-hour utilization to optimize staffing and table allocation.
Reconciled cash balances and identified discrepancies, improving reporting accuracy and financial control.
Provided data-driven input to supervisors regarding table performance, staffing, and peak-hour planning.
Focus: revenue tracking, operational reporting, financial accuracy.
Deputy Store Manager / Retail Operations Analyst — Fozzy Group / Retail Center / Retail Ukraine, Ukraine
Aug 2013 – Sept 2016 / Oct 2017 – Nov 2018 / Dec 2018 – Feb 2020
Consolidated sales, delivery, and expiration data across 3 stores to monitor stock turnover and waste.
Built and maintained KPI tracking for sales volume, shrinkage, stock turnover, and staff productivity.
Identified high-expiration categories and adjusted ordering frequency, reducing losses from expired products.
Analyzed supplier delivery patterns and highlighted delays affecting product availability and sales.
Used performance data to optimize staff scheduling and improve workforce efficiency for teams of up to 40 employees.
Supported the launch of a new store by defining baseline metrics and monitoring operational performance in the first
months.
Focus: sales analytics, inventory optimization, waste reduction, operational KPIs.
LANGUAGE KNOWLEDGE
Ukrainian — Native
English — Intermediate
Slovak — Intermediate
German — Basic
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The candidate's resume is posted at https://www.work.ua/resumes/13338568/