I am a Senior Product Analyst with extensive experience in product analytics, data engineering, and business intelligence. Over the past several years, I have developed strong expertise in SQL, Python, and data visualization tools such as Power BI and Apache Superset. My work primarily focuses on driving product impact through rigorous A/B testing, cohort analysis, and statistical validation.
I have successfully owned product analytics for multiple financial product initiatives, contributing to significant improvements such as reducing churn by 3.9% and increasing ARPPU by 1.7%. I am skilled in designing and executing end-to-end A/B tests, from hypothesis formulation to analysis, ensuring data-driven decision-making.
In addition to analytics, I have experience in maintaining and improving data pipelines using Airflow, and I am familiar with Hadoop and Spark ecosystems. I have also developed and optimized dashboards to monitor key metrics like DAU and MAU, aligning BI tools with product team workflows through user feedback.
My background includes roles in both fintech and marketplace sectors, where I collaborated with cross-functional teams and utilized version control systems such as Git and Stash. I am adept at migrating scripts and improving data availability and consistency for analytics.
Previously, I worked as an accountant where I automated financial reporting processes and used Python for data analysis and automation. I am fluent in English and Russian, and open to relocation and remote work opportunities.
I am passionate about leveraging data to solve complex business problems and continuously improving analytics infrastructure to support scalable product growth.
