Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: intermediate

Thanks to creating and improving analytical structures and approaches, many valuable results have been obtained.

For example:
1) an increase in the volume of Google organic mobile traffic by at least +20%;
2) a significant improvement in bounce rate, exit rate, average time on page, and depth of view;
3) an increase in the conversion of the "Buy" button in the products list (Mobile) by at least +30%;
4) the study of the strength of the influence of a group of variables in the auction formula on key indicators helped to improve the CTR by at least +5%;
5) relatively quick detecting and clarifying anomalies in data (some of them were critical bugs after an update or fix), the negative impact of which could cause reputational damage and/or decrease the number of users and/or cost many tens of thousands of dollars.


Additionally, I would like to note the vast benefits of implementing and improving A/B testing processes. Here are some examples:

1) conversion of the "Buy" button in the product card (Mobile) was increased by at least +10%;
2) team efforts managed to achieve an increase in the conversion rate for viewing information about the seller in the product card (Desktop) by at least 15% while reducing the number of user complaints to support by about two times;
3) was avoided the implementation of an experimental variant that could worsen key metrics by at least 20-30%;
4) the creation and implementation of an advanced Tracker of ideas and A/B tests helped reduce the delay between the end of the previous test and the beginning of the following test by at least three times and, in general, highly increased the quality of the testing process.

My passion is using thinking potential at the maximum to find/produce valuable insights/solutions for significant improvements in the business (like maximizing profit, minimizing losses, internal processes optimization, etc.).
Since I was the only analyst in the online e-commerce marketplace company, my role can be described as a general type Analyst - I performed different types of tasks that are usually performed by a Product, Data, Marketing, and Web Analysts.


A brief description of some projects that I performed:

1. Successful implementation and improvement of the Descriptive and Diagnostic type of analytics in the company (almost from scratch).

2. Active promotion and increasing the proportion of evidence-based and data-driven decision-making and reducing the proportion of decision-making based on HiPPO gut feeling and fast opinion.

3. Effective implementation of descriptive/inference statistics and systematic analytical approaches in everyday work.

4. And here are examples of some of the large series of tasks:
1) building and improving the A/B testing processes (almost from scratch);
2) creation and implementation of the CPA payment model (accent on mathematical and statistical part);
3) search and study areas with low values in behavioral ranking factors;
4) study of the relationship between the number of sales managers' calls and their productivity;
5) creation of an algorithm for detecting an abnormal price in a product category;
6) creation of a system for assessing the degree of stabilization of the metric value;
7) creation of a working prototype of a content-based recommendation system (similar products).
Desired: work on helpful/exciting projects (in a team or individually) that require intensive use of analytical/statistical approaches and techniques.

Undesired: lots of aggressive micromanagement and demand of producing super-fast results.