Position: Lead/Senior Product Analyst
Category: Data Science
English level: upper
Years of experience: 4

I am a proactive specialist with strong analytical thinking having 4+ years of experience in Analytics. I have huge experience with Data Analysis, Data Visualization and Data Science. 
Also, I have experience in building analytics from scratch and setting up all processes including ETL process automation, data mining, automatic Reporting and insights delivery.
Analyzing A/B test results in order to assist business decisions
Automating core reporting with Tableau. 
Leding product initiatives from the analytics side. Helping product teams determine North Star metrics, building further reporting and monitoring of these metrics.
Amplitude ownership.
Implementing internal processes within the analytical team (automated system of notifications regarding the progress of tasks, implementation of an product insight channel for the product organization, holding knowledge sharing sessions, implementation of GitHub for SQL requests).

Designing and implementing analytics system for a mobile application: 
- Building an event map;
- Automating data upload from various services via API requests. 
- Building product/operational/financial reports. 
Also developed a similar system for the Web application. 
Developing a prediction model for customer metrics as LTV, Churn forecasting using ML algorithms, and user behavior analysis. 
Performing A/B testing and analyze experiments inside  the app.   
Working with various services such as Facebook, Google analytics, YouTube analytics. and download data using API.
Developing an automated system for posting Facebook ads and analysis of the effectiveness of different approaches and types of advertising. 

Analyzing data and provide algorithm to find anomalies.
Visualising data in Tableau and extract data from CRM Database, Big Query
Working with different analytics products, such as Appsflyer, Mixpanel, Adjust, Amplitude. 
Improve KPI metrics, build hypothesis.
Wanted to work in Analytics to continue advancing analytical system that help the product find growth points and make data-driven decisions.