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hostinger

Product Data Analyst | EU based/Remote

Hostinger is looking for a highly analytical and proactive Product Data Analyst to join our Revenue & Data team. This role requires you to dive deep into product usage data to identify key trends, pain points, and untapped revenue opportunities across the European user base. Key responsibilities include building comprehensive dashboards, performing advanced statistical analyses (e.g., cohort analysis, A/B test evaluation), and translating complex datasets into clear, actionable narratives for leadership. You will collaborate with Product Managers and Marketing teams to define success metrics and track their performance post-launch. Proficiency in SQL, Python, and BI tools is essential. This fully remote position allows you to make a significant impact on our data-driven growth strategy from anywhere in the EU.

hostinger Poland, Poland

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

bereiten sich vor

1800

Fragensatz

220

Dauer

Permanent

Schwerpunkte

Data AnalysisSQLPythonBusiness Intelligence

People Also Ask (FAQs)

What is the last date to apply for Product Data Analyst | EU based/Remote?

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

How do I apply for Product Data Analyst | EU based/Remote?

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 hostinger 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 Product Data Analyst | EU based/Remote 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, SQL, Python, Business Intelligence.

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