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kyivstar

Business Analyst (Big Data)

Kyivstar is seeking an innovative Business Analyst with a strong focus on Big Data. This role is critical for identifying and developing new revenue streams by transforming complex data into actionable business insights. Key responsibilities include designing data models, performing deep-dive statistical analysis, creating predictive models, and collaborating with cross-functional teams to implement data-driven strategies. The ideal candidate must possess advanced analytical skills, expertise in using tools like Python, R, and SQL for querying massive datasets. Experience working within a major telecommunications environment is highly desirable. Successful candidates will drive process improvements, build comprehensive dashboards, and present strategic recommendations to senior management, directly impacting the company's growth trajectory.

kyivstar All, Ukraine

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

bereiten sich vor

1200

Dauer

Permanent

Schwerpunkte

Data AnalysisBig DataBusiness IntelligenceSQLPython

People Also Ask (FAQs)

What is the last date to apply for Business Analyst (Big Data)?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Business Analyst (Big Data)?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the kyivstar test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the Business Analyst (Big Data) test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Data Analysis, Big Data, Business Intelligence, SQL, Python.

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