Business Analyst (Big Data)

kyivstar· New Revenue Stream
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📍 AllFull time

About this role

We are looking for Business Analyst to develop and support Big Data solutions used across multiple business units. In this role, you will focus on structuring business needs, defining data logic and ensuring solutions are clearly specified for implementation. The position combines analytical work, data solution design and cross-team collaboration in a large-scale telecom environment. Responsibilities •    Collect, analyze and formalize business requirements from internal teams •    Translate business needs into structured documentation, data logic and functional specifications •    Design analytical solutions such as triggers, batch processes, dashboards and data funnels •    Define data mappings, transformation rules and end-to-end processing flows •    Build, aggregate and validate datasets from multiple internal and external sources •    Support development teams by clarifying requirements, logic and acceptance criteria •    Maintain structured product documentation, PRDs and user stories •    Participate in solution discussions to ensure feasibility, clarity and consistency of implementation •    Provide visibility on analysis progress and document agreed decisions and assumptions •    Contribute to improving analysis practices, documentation quality and internal knowledge sharing Requirements •    2+ years of experience in Business Analysis, Data Analysis, Data Engineering or a similar role •    Strong analytical thinking and ability to structure complex business requests •    Proven experience writing clear functional and technical documentation •    Solid SQL skills and experience working with large datasets and ETL processes •    Experience working with Big Data platforms such as Apache Hadoop, Amazon Web Services, Microsoft Azure or similar environments •    Familiarity with streaming or pipeline tools such as Apache Kafka is an advantage •    Understanding of data structures, processing logic and system integration principles •    Experience working with multiple teams in complex corporate environments •    Telecom domain knowledge is a plus We offer •    Work on large-scale data solutions with real operational usage •    Remote-friendly work format with flexible hours •    Competitive salary and annual performance bonus •    Paid vacation and sick leave •    Medical and life insurance •    Professional development and career growth opportunities •    Supportive, expert-level team environment

Frequently Asked Questions

Is the salary disclosed for the Business Analyst (Big Data) position at kyivstar?
The salary for this Business Analyst (Big Data) role at kyivstar is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Business Analyst (Big Data) position at kyivstar located?
This Business Analyst (Big Data) role at kyivstar is based in All. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Business Analyst (Big Data) role at kyivstar full-time or part-time?
This is listed as a Full time position. It is posted as a Business Analyst (Big Data) role in the New Revenue Stream department at kyivstar.
Which team or department does the Business Analyst (Big Data) at kyivstar belong to?
This Business Analyst (Big Data) position is part of the New Revenue Stream department at kyivstar. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Business Analyst (Big Data) position at kyivstar?
Click the "Apply Now" button on this page. You will be redirected to kyivstar's official application portal hosted on lever where you can submit your application directly.
When was the Business Analyst (Big Data) job at kyivstar posted?
This Business Analyst (Big Data) position at kyivstar was posted on Mar 16, 2026. Apply as soon as possible — early applications are often reviewed first.
Business Analyst (Big Data)
kyivstar
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