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CY iT HR
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Yevhenii
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#resume #cv #data #financial #middle #middle+ #dataanalyst #financialanalyst #bi #analyst #powerbi #sql #python #excel #googlesheets #metabase #mongodb #remote #relocation
Hi everyone
Iโm Yevhenii Chernyshev โ Data / BI / Financial Analyst with 15+ years in finance and 2 years in analytics.
I connect finance, business, and data to help teams make better decisions.
๐น Core areas I cover
Business / Product Analytics โ metrics (DAU/MAU, LTV, Retention), A/B tests, funnels, cohort & segment analysis
Financial Analytics โ P&L, Cash Flow, Budget vs Actual, Unit Economics, forecasting (Python / Power BI / Excel)
Data / BI Analytics โ ETL pipelines, dashboards (Power BI, Metabase, Tableau, Looker Studio), automation, SQL optimization
Marketing / Sales Analytics โ channel performance, ROMI/ROI, RFM, segmentation & sales forecasting
๐น Stack & Tools
Python: pandas, numpy, matplotlib, seaborn, scikit-learn, Prophet, statsmodels
SQL: PostgreSQL, MSSQL, BigQuery, MySQL, SQLite โ complex joins, window functions, CTEs, ad-hoc analytical queries
BI: Power BI, Tableau, Metabase, Google Looker Studio
Data: Excel, Google Sheets, PowerQuery, VBA, AppScript
Databases: MongoDB, PostgreSQL
Other: Git, Jupyter, REST API, JSON/XML, ETL automation tools
๐น Achievements
โ Automated financial and operational reporting across departments
โ Built interactive Power BI & Metabase dashboards for management
โ Designed SQL & MongoDB models for transaction analytics
โ Created Python forecasting models improving accuracy by 20%
โ Delivered insights that helped reduce operational costs by 15%
โ Solved ad-hoc analytical tasks for finance, product, and operations teams (SQL + Power BI)
๐น Languages & format
English โ B1 | German โ A2 | Russian โ native | Ukrainian โ native
Remote / full-time / B2B | Open to relocation
๐ CV: Notion CV + portfolio**
๐ฑ TG: **@Yevhenii_successo
Hi everyone
Iโm Yevhenii Chernyshev โ Data / BI / Financial Analyst with 15+ years in finance and 2 years in analytics.
I connect finance, business, and data to help teams make better decisions.
๐น Core areas I cover
Business / Product Analytics โ metrics (DAU/MAU, LTV, Retention), A/B tests, funnels, cohort & segment analysis
Financial Analytics โ P&L, Cash Flow, Budget vs Actual, Unit Economics, forecasting (Python / Power BI / Excel)
Data / BI Analytics โ ETL pipelines, dashboards (Power BI, Metabase, Tableau, Looker Studio), automation, SQL optimization
Marketing / Sales Analytics โ channel performance, ROMI/ROI, RFM, segmentation & sales forecasting
๐น Stack & Tools
Python: pandas, numpy, matplotlib, seaborn, scikit-learn, Prophet, statsmodels
SQL: PostgreSQL, MSSQL, BigQuery, MySQL, SQLite โ complex joins, window functions, CTEs, ad-hoc analytical queries
BI: Power BI, Tableau, Metabase, Google Looker Studio
Data: Excel, Google Sheets, PowerQuery, VBA, AppScript
Databases: MongoDB, PostgreSQL
Other: Git, Jupyter, REST API, JSON/XML, ETL automation tools
๐น Achievements
โ Automated financial and operational reporting across departments
โ Built interactive Power BI & Metabase dashboards for management
โ Designed SQL & MongoDB models for transaction analytics
โ Created Python forecasting models improving accuracy by 20%
โ Delivered insights that helped reduce operational costs by 15%
โ Solved ad-hoc analytical tasks for finance, product, and operations teams (SQL + Power BI)
๐น Languages & format
English โ B1 | German โ A2 | Russian โ native | Ukrainian โ native
Remote / full-time / B2B | Open to relocation
๐ CV: Notion CV + portfolio**
๐ฑ TG: **@Yevhenii_successo
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