Big Data Analyst

We are looking for a Data Analyst to work with large-scale datasets in a cloud environment using SQL (Trino) and PySpark. The role focuses on building datasets, identifying application hosts, and creating audience segments based on user behavior.
Responsibilities:
•    Querying and processing large datasets using Trino (SQL); 
•    Working with data in AWS environment using PySpark;
•    Identifying and analyzing application hosts / domains based on traffic data;
•    Building audience segments based on website activity, call data, behavioral patterns and segment rules;
•    Monitoring and auditing accuracy and completeness of collected data;
•    Organizing data into usable formats;
•    Creating basic visualizations and reports (Power BI or similar);
•    Generating information and insights from data and identifying trends and patterns;
•    Conducting A/B tests to understand and evaluate quality of data models;
•    Developing and maintaining automated data processes.
Requirements:
•    Strong experience with SQL (Trino, Presto, or similar);
•    Experience working with large-scale datasets in distributed environments (AWS, PySpark);
•    Excellent knowledge and confident Excel user;
•    High attention to details;
•    Gaining knowledge from a large amount of data;
•    Basic knowledge of statistics;
•    Experience with Power BI or other BI tools;
•    Strong analytical thinking and problem-solving skills;
•    Familiarity with Jira, Confluence.
Will be a plus:
•    Experience with telecom data;
•    Understanding of web/app traffic and domain classification;
•    Knowledge of Python.
We offer:
•    Work in one of the largest and most beloved telecom company in Ukraine;
•    Opportunity to work with large-scale real-world data;
•    Remote work with possibility to visit the office;
•    Flexible working hours;
•    Onboarding program which can help with fast on-line adaptation;
•    Competitive salary and annual bonus;
•    Paid vacation and sick leave;
•    Medical and life insurance;
•    Financial aid in different life situations;
•    Great possibilities for professional development and career growth;
•    Friendly and collaborative team environment.

We are looking for a Data Analyst to work with large-scale datasets in a cloud environment using SQL (Trino) and PySpark. The role focuses on building datasets, identifying application hosts, and creating audience segments based on user behavior.
Responsibilities:
•    Querying and processing large datasets using Trino (SQL); 
•    Working with data in AWS environment using PySpark;
•    Identifying and analyzing application hosts / domains based on traffic data;
•    Building audience segments based on website activity, call data, behavioral patterns and segment rules;
•    Monitoring and auditing accuracy and completeness of collected data;
•    Organizing data into usable formats;
•    Creating basic visualizations and reports (Power BI or similar);
•    Generating information and insights from data and identifying trends and patterns;
•    Conducting A/B tests to understand and evaluate quality of data models;
•    Developing and maintaining automated data processes.
Requirements:
•    Strong experience with SQL (Trino, Presto, or similar);
•    Experience working with large-scale datasets in distributed environments (AWS, PySpark);
•    Excellent knowledge and confident Excel user;
•    High attention to details;
•    Gaining knowledge from a large amount of data;
•    Basic knowledge of statistics;
•    Experience with Power BI or other BI tools;
•    Strong analytical thinking and problem-solving skills;
•    Familiarity with Jira, Confluence.
Will be a plus:
•    Experience with telecom data;
•    Understanding of web/app traffic and domain classification;
•    Knowledge of Python.
We offer:
•    Work in one of the largest and most beloved telecom company in Ukraine;
•    Opportunity to work with large-scale real-world data;
•    Remote work with possibility to visit the office;
•    Flexible working hours;
•    Onboarding program which can help with fast on-line adaptation;
•    Competitive salary and annual bonus;
•    Paid vacation and sick leave;
•    Medical and life insurance;
•    Financial aid in different life situations;
•    Great possibilities for professional development and career growth;
•    Friendly and collaborative team environment.