Anastasiia Vasiuchenko

I am an experienced lecturer, conducting corporate and public courses focused on developing analytical skills and solving real-world business challenges. I design tailored programs for diverse audiences, combining practical applications with clear communication to empower participants to apply their knowledge effectively in professional settings.

Key Responsibilities

• Dashboard Development:

  • Created dashboards in Power BI to accelerate business decision-making processes.
  • Built dashboards in Superset to improve data acquisition, optimize data control, and monitor key business metrics for stakeholders.

• Ad-hoc Analysis & Insights:

  • Conducted ad-hoc investigations to provide actionable insights on product changes and performance trends.
  • Delivered detailed analysis and recommendations to support strategic decision-making.

• Data Infrastructure & Processes:

  • Designed and implemented data marts to centralize and streamline data access.
  • Set up efficient ETL processes to ensure reliable and timely data pipelines.

• Collaboration & Strategy:

  • Partnered with stakeholders to gather requirements, align analytics with business needs, and formulate data-driven strategies.
  • Provided clear conclusions and actionable recommendations based on analysis.

Business Performance Achievements

• Reduced customer Unsubscribe rate by 3%, leading to increased customer retention.
• Increased Open rates in targeted communication campaigns, boosting engagement.
• Grew the share of revenue from retention channels to 12%, enhancing long-term customer value.
• Improved conversion rates to second purchases, contributing to higher customer lifetime value.

Key Responsibilities

• Dashboard Development:
• Created dashboards in Google Data Studio to support decision-making by providing clear, actionable insights into business performance metrics.
• Built and optimized dashboards for stakeholders to track key performance indicators (KPIs) and make informed business decisions.

Ad-hoc Analysis & Insights:

• Conducted in-depth ad-hoc analyses to understand product performance and recommend improvements.
• Delivered insights based on A/B testing results, helping refine strategies and increase user engagement.

Data Infrastructure & Processes:

• Developed and executed SQL queries to retrieve actionable data from the Data Warehouse, supporting operational needs across departments.
• Set up and optimized ETL processes to ensure efficient data pipelines, improving the flow of accurate and timely data across systems.

Collaboration & Strategy:

• Collaborated with business stakeholders to define requirements, ensuring that data solutions aligned with business objectives.
• Worked closely with stakeholders to gather feedback, adjust reports, and continuously improve dashboard usability and performance.

Business Performance Achievements

• Streamlined data acquisition and visualization processes, resulting in faster and more informed decision-making.
• Enhanced data accuracy and reporting efficiency, supporting business operations and strategic initiatives.
• Implemented successful A/B tests that contributed to improved customer engagement and increased conversion rates.
• Improved the reliability and timeliness of data pipelines through optimized ETL processes, ensuring consistent and quality data availability.

Key Responsibilities

Data Mart Enrichment:

• Enhanced data marts by adding new predictors to improve business insights and forecasting accuracy.
• Integrated additional data sources to support key business metrics.

Key Responsibilities

Dashboard Development:

• Developed dynamic and interactive dashboards in Power BI, integrating data from multiple sources to provide actionable business insights.
• Designed visually compelling reports and dashboards to track KPIs, trends, and performance metrics.

Analytical Reports & Automation:

• Prepared detailed analytical reports to support decision-making, highlighting key trends and performance indicators.
• Automated routine tasks and reports, improving efficiency and reducing manual effort.

SQL Optimization & Database Management:

• Optimized SQL scripts for faster query execution and better performance across large datasets.
• Documented the existing database structure, ensuring clarity and easy access to information for stakeholders.

Business Process Optimization:

• Analyzed and identified areas for process improvement, implementing solutions to streamline business workflows.
• Suggested and executed process changes to improve operational efficiency and reduce costs.

Teaching & Support:

• Provided training and ongoing support for new colleagues, ensuring they understood database structures, reporting tools, and internal processes.
• Acted as a mentor to help colleagues navigate and utilize business intelligence tools effectively.

Business Performance Achievements

• Increased reporting efficiency by automating routine tasks, saving time and reducing errors.
• Improved data accessibility and understanding through clear documentation of database structures.
• Contributed to more efficient business operations through optimized SQL queries and process improvements.
• Enhanced team performance by supporting new colleagues and ensuring they were well-equipped for their roles.

Apache Superset Training

How to understand a product through metrics.
Must-have retention metrics.

Specialist degree (2016)
Bachelor's degree (2012-2015)