Position: Product Analyst
Category: Data Analyst
Experience: 4 years | English: fluent

• identified a critical cloud processing flaw which helped the engineers to reduce the latency by approximately 20% - better customer experience;
• conducted in-depth behavioral analyses & highlighted the possible growth points/issues that might've affected the main product metrics of interest;
• found a fraudulent scheme in its' early stage, which helped the company to have a chance to save more than $1M yearly;
• discovered & offered a data-driven solution about how to reduce the number of fraudulent users to the minimum (that's > 30% out of relative users);
• developed a way to identify a new usage entity within the mobile app along with the data engineers;
• set a standard for company-wide analyses;
• conducted multiple workshops/presentations on different professional topics inside the companies I worked for;
• created an analytical team from scratch (documentation, processes, etc.);
• I am a certified Tableau Desktop Specialist & had my advanced SQL skills approved by completing the challenges on HackerRank;
• and there are many more :)
Lead / Senior Product Analyst.
Mainly working with: SQL, BigQuery, Looker.
• conducting product analyses to identify the product's growth & weak points;
• full-cycle analytics of the released features:
-   forming the list of the most crucial metrics to evaluate the effectiveness of the change;
-   discovering the existing data in the data lake by testing the possible  relatable user flows;
-   preparing the technical documentation for the developers & data engineers to ensure we get the data we need for the analyses;
-   QA'ing the implemented events & tables;
-   creating the data entities (tables, jobs) so that we get just the data we need;
-   delivering the dashboard in Looker for timely monitoring;
-   forming in-depth analyses about the performance of the released feature, its' growth & weak points that are sent to the C-level management to make a final decision (leave or kill);
• evaluating AB Tests results;
• company-wide data-related projects;
• leading a local team of analysts.

Middle Data Analyst / Team Lead.
Mainly working with: SQL, Amazon Redshift & Athena, Tableau, Python.
• Development, monitoring, and reporting activities of the programs and products during their trials, and when deployed to PROD daily: 
-   data exploration using SQL in Redshift or Athena for identifying the needed logs to be used during the daily monitoring;
-   creating a set of monitoring tools for daily monitoring activities, such as dashboards in Tableau;
-   investigating the possible reason for the unusual fluctuations in the monitored metrics;
• Completing the ad-hoc analytics requests:
-   data exploration, processing, and presentation to fulfill the stakeholders' inquiries.
• Leading a team of 4 analysts (not including me).
Because of the current situation in Ukraine I'm ready to move to other cities/countries around the world if there is a great working opportunity! However,
• REMOTE is highly preferred!
• I am also looking for a place at which I can stay for a long time to develop & grow professionally;
• And a place that will allow me to maintain a healthy work-life balance.