Big Data Analyst

Kyivstar · enterprise

All Full-time Posted 1mo ago telecom

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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.