Data Analyst (TSS)

- Data collection — Obtaining data from various sources: databases, APIs, Excel, CRM systems, etc.
- Data cleaning and preparation — Removing duplicates, processing omissions, and converting data to the desired format.

-Data analysis is the identification of patterns, trends, and deviations using statistical methods.
- Data visualization is the creation of graphs, dashboards, and presentations to visually present information (most often using Power BI, Tableau, Excel, Python libraries, or other tools).
- Hypothesis formulation and verification — Building hypotheses based on data and conducting A/B tests or other analysis methods.
- Decision support — Preparation of analytical reports and recommendations for management or teams.
-Automation of reporting — Configure scripts or tools to send and update reports on a regular basis.
- Working with databases (SQL) is writing SQL queries to extract and process data.

- Communication with teams — Interact with product managers, marketing, and developers to understand tasks and deliver results. Data quality assurance — Monitoring of data quality and integrity, offering improvements in storage structure and processes

Working hours : from 19:00 to 03:00
official employment