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.