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coinbase

Analytics Engineer Intern

Join Coinbase’s Data team as an Analytics Engineer Intern! You will be instrumental in bridging the gap between raw data and impactful business intelligence. This role involves designing, implementing, and optimizing reliable data pipelines that ensure our stakeholders have accurate, timely data for decision-making. Key responsibilities include advanced SQL development, building out dimensional models, and collaborating with quantitative analysts to structure complex datasets. The ideal candidate is highly motivated, technically sharp, and eager to learn the nuances of a modern data stack. You must be comfortable operating in a fast-paced environment while upholding high standards of data governance. This internship provides deep, practical experience across all facets of data engineering within a leading fintech company.

coinbase San Francisco, CA, California, United States

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

Preparing

2600

Question set

180

Duration

INTERNSHIP

Focus areas

SQLData PipelinesAnalyticsBI Tools

People Also Ask (FAQs)

What is the last date to apply for Analytics Engineer Intern?

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

How do I apply for Analytics Engineer Intern?

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 coinbase 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 Analytics Engineer Intern 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: SQL, Data Pipelines, Analytics, BI Tools.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

Prepare for this test

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