Igor Fomin

• Gather and document reporting requirements for client dashboards and data exports on the company portal.
• Analyze data sources to identify required information: determine availability in the internal database or assess the need to extract from production systems.
• Investigate and integrate new data fields into existing reports based on client requests, including data source identification, update frequency, and integration feasibility.
• Support the evolution of reporting to reflect new business processes and entities introduced by clients.
• Validate report data post-release by cross-checking with production data to ensure accuracy and consistency.
• Conduct root-cause analysis of data discrepancies and work with development teams to implement fixes.
• Develop and optimize SQL queries for custom data exports and client-specific data delivery.

• Developed and analyzed A/B tests for data-driven decision-making.
• Built and maintained robust data processing pipelines for optimized workflow.
• Created dashboards to monitor and visualize key performance indicators effectively.
• Analyzed and resolved data anomalies to ensure data integrity.
• Key Achievement: Implemented an advanced anomaly detection tool to enhance data reliability.

1. Managing Marketing Campaigns:

• Customer segmentation and calculation of test group sizes.
• Technical implementation of tests (push notifications, banners, in-app messages, chats, fullscreens).
• Creating reports in Tableau to analyze campaign performance.
• Making scaling and redesign decisions based on statistically significant metrics.

2. Project Activities:

• Gathering business requirements and setting tasks.
• Hosting weekly meetings to track progress and plan new initiatives.

3. Team Leadership:

• Managed a team of 6 analysts, distributing tasks based on workload.
• Assisted with query optimization and resolving complex issues.
• Mentored and onboarded new team members.
• Conducted interviews for product analytics positions.

4. Research and Analytics:

• Conducted platform-wide and channel-specific analysis to identify anomalies.

Key Achievement: developed a contact policy system for marketing communications.

• Built machine learning models for loan default prediction using KNIME.
• Analyzed model results and prepared data with PL/SQL Developer.
• Developed and monitored reports and analytics.