Senior Product Analyst
- Location
- Georgia
- Desired Salary
- Unspecified
- Work preference
- Full Time
- Links
- Not set
- Joined
- 14 Jun 2026
- Field / Industry
- Finance & Accounting
About Me
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.
Skills
PythonSQLJiraGitMicrosoft ExcelChange ManagementA B TestingPl SQL
Education
Bachelor of Financial Management and Investment Management
GPA: 4.7
Professional Development Program in Data Science
GPA: 5.0
Experience
Owned product analytics for multiple initiatives, led analytics for financial products. Executed 2-3 A/B tests per month end-to-end, reducing churn by 3.9% and increasing ARPPU by 1.7%. Identified high-value behavioral segments through cohort analysis and clustering, leading to a 14.8% increase in 90-day retention. Refactored statistical validation logic in core DAGs, improving experiment analysis accuracy. Maintained and improved production Airflow DAGs with updated dependencies and error handling.
Owned end-to-end dashboard infrastructure, designed and monitored usage metrics to ensure data quality. Led A/B test of a new analytics dashboard, deriving key insights on user onboarding and change management. Optimized dashboard performance and drove user-centric BI development through interviews and feedback. Performed complex ad-hoc SQL analyses to support decisions.
Worked with Airflow to edit and extend DAGs. Ensured data availability and consistency for downstream analytics. Designed dashboards and visualizations in Apache Superset. Collaborated using Git and Stash. Interacted with Hadoop and Spark-based systems. Migrated 20+ scripts from Vertica to Oracle PL/SQL.
Automated financial and operational reporting in Excel, reducing processing time from 2 hours to 10 minutes. Extracted, cleaned, and prepared data from MS AX ERP system. Communicated with international clients and colleagues using Minto structure. Used Python for exploratory analysis, validation, and analytical automation.