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 environm
