Oleksandr Salnikov
Запропонуйте Oleksandr роботу над вашим наступним проєктом або зареєструйте профіль фрилансера і починайте заробляти просто зараз.
Особисте повідомлення
Запропонувати роботу
Київ,
Україна
2 місяці 13 днів тому
вільний для роботи
вік 38 років
на сервісі 8 місяців 7 днів
Рейтинг
Успішних проєктів
Середня оцінка
Рівень володіння мовами
Українська: носій
Русский: носій
English: середній
Резюме
Data Analyst | SQL • Tableau • Python
I help businesses turn raw data into clear insights and better decisions.
What I can do for you:
• data cleaning and analysis
• dashboards and data visualization
• cohort and funnel analysis
• KPI and marketing analytics
Tools: SQL, Python (Pandas), Tableau, Power BI, Excel / Google Sheets, BigQuery.
Навички та вміння
Програмування
Послуги
Переклади
Робота з текстами
Портфоліо
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SaaS User Onboarding & Conversion Funnel Analytics Dashboard
Обробка даних
Analyzed user onboarding and conversion funnel for a SaaS product to identify drop-off points between registration, trial activation, and first payment. Data was prepared using SQL and Google Sheets and visualized in Tableau. Built an interactive dashboard tracking user registration trends, trial conversion rates, onboarding funnel steps, and monthly changes in trial activation. The analysis highlighted key friction points in the onboarding process and opportunities to improve trial-to-paid conversion.
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SaaS Revenue Cohort Analysis & Customer Retention Dashboard
Обробка даних
Analyzed SaaS subscription revenue using cohort analysis to understand customer retention and revenue dynamics over time. Data was prepared using SQL and Google Sheets and visualized in Tableau. Built an interactive dashboard showing monthly revenue growth, cohort revenue retention, first-month revenue distribution, and revenue changes compared to the previous month. The analysis helped identify how revenue evolves across customer cohorts and highlighted opportunities to improve long-term revenue retention.
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E-commerce Sales and Delivery Performance Analytics Dashboard
Обробка даних
Analyzed e-commerce sales and delivery performance to identify profit drivers and logistics inefficiencies. Data was prepared using SQL and Google Sheets and visualized in Tableau. Built an interactive dashboard showing monthly sales and profit trends, profitability by product category and shipping mode, order distribution by delivery time, and regional delivery performance. The analysis revealed slower standard shipping (~5 days) and identified unprofitable product segments, helping optimize logistics and sales strategy.
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Mobile App Revenue & User Monetization Analytics Dashboard
Обробка даних
Analyzed mobile app revenue and user monetization performance across age groups to identify key growth drivers. Data was prepared using SQL and Google Sheets and visualized in Tableau. Built an interactive dashboard showing ARPPU trends, LTV by age segment, MRR contribution, revenue changes by month, and user conversion funnel. The analysis identified the most profitable user segments and highlighted opportunities to improve monetization and retention strategies.