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Big Data Analyst

TrulyRemote Verified

Hand-curated global remote job with direct application link

Technical Requirements

SQLAWSPySparkExcelPower BIJiraConfluencePython

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.