Передусім, Київстар — це український телекомунікаційний оператор, послугами якого користується понад 26 млн абонентів. Київстар входить до складу міжнародної групи VEON Ltd, офіс якої знаходиться у Нідерландах. Акції Групи торгуються на фондових біржах NASDAQ, Нью-Йорк та Euronext, Амстердам.
16 сентября 2021

Data Analyst (Cloud Big Data) (вакансия неактивна)

Киев, удаленно

Kyivstar is looking for Data Analyst who will analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques.

The candidate should also be an effective communicator capable of independently driving issues to resolution and communicating insights to both technical and non-technical audiences.

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.


  • 4+ years in Data Engineer, Data Analyst or another quant-focused field;
  • Experience in database technology with solid understanding and hands-on skills with SQL (is a must);
  • Ability to understand, translate and map business and product questions into analysis projects; 
  • Ability to analyze large datasets;
  • Experience building large scale data sets in Azure, AWS, Hadoop or similar big data environments; 
  • Agile knowledge.


  • Preparing business requirements and technical specification by transformation Customer idea to real use cases;
  • Develop analytical data sets in Azure or internal Big Data Environments which can be used for analytics and data science;  
  • Supporting the data products in identifying and revising issues;
  • Providing technical expertise on data storage structures, data mining, and data cleansing;
  • Preparing Product documentation.