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.
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