Analytics Engineer Intern

Coinbase

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: New York, NY
Employment: Intern
Posted: 7 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $179k

$114k most similar roles pay here $243k

This listing doesn't post a salary. Most similar roles pay $126,800–$230,400.

Based on 240 similar postings.

Employer

About Coinbase

Coinbase Global is a publicly traded cryptocurrency exchange platform where consumers can buy, sell, and store digital currencies including Bitcoin, Ethereum, and hundreds of other cryptocurrencies. Industry: Cryptocurrency Exchange & Financial Technology

Coinbase currently has 89 open roles on FindRole.

Listed pay typically runs $186,065–$218,900 across 80 roles with salary data.

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At a glance

TL;DR · Analytics Engineer Intern

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The Analytics Engineer Intern joins the Platform team to build and maintain trusted data infrastructure that powers decision-making across the organization. In this role, you will model complex data, develop scalable pipelines, and create dimensional data models to transform raw information into reliable datasets for analysts, data scientists, and product teams. You will also partner with cross-functional stakeholders to deliver well-structured dashboards and investigate data quality issues by implementing tests and monitors. The day-to-day work involves utilizing SQL to ensure data freshness and documentation while leveraging generative AI tools to streamline development workflows. Required skills include proficiency in SQL for complex queries, familiarity with programming languages like Python, and the ability to communicate technical concepts clearly. This role focuses on building production data systems within a crypto-native company environment.

Skills

SQL Python Generative AI Data Pipelines Data Quality Dashboards Analytics Engineering

What you'll do

Build and maintain dimensional data models to transform raw data into reliable datasets for internal teams.
Develop production-grade data pipelines using SQL while ensuring data quality and freshness.
Create well-structured datasets and dashboards to enable self-serve analytics for cross-functional stakeholders.
Use generative AI tools to streamline data development, modeling, and documentation workflows.
Investigate and resolve data quality issues by implementing automated tests and monitors.
Communicate complex technical concepts clearly to both technical and non-technical audiences.

What we're looking for

Currently pursuing a degree in computer science, data science, statistics, economics, or a related quantitative field (or equivalent experience).
Demonstrated proficiency in SQL including complex queries with joins, window functions, and aggregations.
Familiarity with at least one programming language (Python preferred).
Ability to communicate technical concepts clearly to both technical and non-technical audiences.
Experience utilizing generative AI responsibly to improve workflow efficiency and deliver business-ready outputs.