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.
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