Middle Web Analyst in Netpeak Group

Why us?

- Work in the performance marketing agency No. 1 in Ukraine, Bulgaria and Kazakhstan (according to various ratings, including the IAB Ukraine Rating).

- We are a certified Google partner for web analytics.

A Ukrainian company that pays taxes to the Ukrainian state budget and provides the economic rear to win the war.

- On average, during the last three years, our income grew by 99.6% per year.

What we offer:

- Career growth within the company and the opportunity to take the position of Team Lead in the future.

- Large-scale and interesting projects on various topics and budgets.

- Ability to maximize existing and acquire new skills.

- Work in a friendly team that is always ready to share experience and pass on their expertise.

- A comfortable environment where you can easily realize your potential.

- Ability to independently plan your working day (flexible schedule from 8(10) to 17(19)), work in the office or remotely.

Our expectations:

- Work experience in the position of web analyst from 2 years.

- Knowledge of SQL at the CTE level and complex Window Functions, working with Google BigQuery.

- Ability to use the Python programming language to prepare connectors and analyze data.

- Working with Google Analytics 4 and an experienced user of Google Tag Manager.

- Ability to run A/B tests in Google Optimize.

- Proficiency in English from the Upper-Intermediate level.

It will be a plus:

- Cases on creating end-to-end analytics systems and BI projects.

- Experience with Google Cloud (Cloud Functions, App Engine, Google BigQuery).

- Knowledge of the basics of statistics.

- Experience with DBT.

- Ability to work with the command line and GitHub.

Functional duties:

- Setting up systems of analytics, reporting, BI projects, data visualization for our clients.

- Development of the test environment: support for data offloading connectors, testing of new tools and solutions, maintaining documentation and GitHub.

- Find the places of traffic loss, form a hypothesis, conduct and interpret the results of A/B tests.

- Preparation, joining and aggregation of data using SQL.