Big Data Analyst - Kyivstar

31 lug - Albenga
Kyivstar

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 premio.

- 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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