Data analyst

Kyivstar Big Data team is looking for talented Data Analyst with a passion for managing, analyzing and visualizing data to find actionable Insights and help improve outcomes for our business and internal customers.

Responsibilities:

•         Deep-dive analysis of subscriber-data from large databases;

•         Writing and running SQL queries to retrieve data from databases;

•         Monitoring and auditing accuracy and completeness of collected data;

•         Organizing data into usable formats;

•         Generating information and insights from data and identifying trends and patterns;

•         Conducting A/B tests to understand and evaluate quality of data models;

•         Creating data dashboards, graphs and visualizations;

•         Developing and maintaining automated data processes.

Requirements:

•         Experience with SQL queries and data aggregation;

•         Experience SQL / PLSQL programming;

•         Excellent knowledge and confident Excel user;

•         Skills to optimize SQL queries;

•         Experience in developing analytical reports and interactive dashboard in Power BI;

•         Financial and analytical data presentation skills;

•         Gaining knowledge from a large amount of data;

•         Basic knowledge of statistics;

•         Jira, Confluence;

•         Experience in Machine Learning and Big Data technologies (as a plus).

We offer:

•         A unique experience of working for the largest and most beloved mobile operator in Ukraine;

•         Real opportunity to ship digital products to millions of customers;

•         Remote work with possibility to visit the office;

•         Onboarding program which can help with fast on-line adaptation;

•         A competitive salary;

•         Annual bonus;

•         Paid sick leave and vacation;

•         Financial aid in different life situations;

•         Flexible working hours;

•         Medical and life insurance;

•         Great possibilities for professional development and career growth;

•         Friendly & collaborative environment.