Професійне резюме, в якому вказані: ел.пошта, телефон, зарплатня, досвід роботи, освіта та інша важлива інформаціяАналітик даних

WORK EXPERIENCE

Power BI & Data Visualization: Designed and maintained interactive dashboards and

reports using Power BI; advanced use of DAX for custom calculations and measures; data

preparation via Power Query. Data Modeling: Created and optimized tabular data models; managed large datasets and

complex relationships between tables to ensure accuracy and performance. Data Integration: Connected and transformed data from multiple sources including MS

SQL Server, Excel, and APIs; ensured consistent and reliable refresh of data pipelines. SQL Development: Built and optimized complex SQL queries for ETL, aggregations, and

performance improvement; worked with relational databases to support analytical needs. ETL & Data Processing: Implemented ETL workflows with SQL, Python, and Power Query;

experience with SSIS for data transformation and automation. Business Analytics: Collaborated with stakeholders to translate business needs into

technical requirements and analytical insights; supported financial (P&L, Cash Flow), sales,

and product reporting. Key Achievements

Automated sales and financial reporting, reducing manual effort by 50% and improving

accuracy. Built customer retention and cohort analysis models, enhancing decision-making on

acquisition and churn strategies. Streamlined sales funnel reporting with Power BI, enabling faster detection of

bottlenecks and more effective sales performance tracking. Developed ETL processes (SQL, Python, Power Query) ensuring clean and reliable data

pipelines. Delivered Power BI dashboards used across departments for real-time insights.