Analytics Engineer

🕒 June 26

🇺🇸 United States – Remote

💵 $152.4k - $179.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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Coinbase

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

💼 Consulting

₿ Crypto

💸 Finance

💰 $21.4M Post-IPO Equity on 2022-11

Consulting • Crypto • Finance

Coinbase is a leading cryptocurrency exchange platform that allows individuals and institutions to buy, sell, and trade various crypto assets such as Bitcoin and Ethereum. The company offers advanced trading tools, institutional solutions, and a self-hosted wallet for storing and managing cryptocurrencies. With a strong focus on security and transparency, Coinbase provides a trusted platform used by millions globally. It supports various features including staking, earning rewards, and spending crypto through their cards. Additionally, Coinbase provides developer tools and APIs for building onchain applications, making it a comprehensive hub for engaging in the crypto economy.

📋 Description

• Own the design, build, and maintenance of data models and pipelines that support CX operations, compliance reporting, and customer insights • Partner with CX Operations, Compliance, and Product teams to translate business needs into data requirements and deliver self-serve analytics solutions • Build and maintain dashboards, metrics, and reporting tools that give CX leaders visibility into performance, customer trends, and compliance health • Drive data quality and governance within the CX data domain by implementing testing, monitoring, and documentation standards • Identify opportunities to automate recurring data workflows and reporting processes • Collaborate with broader Data Engineering and Analytics teams to align on best practices and share learnings

🎯 Requirements

• 3+ years of experience in analytics engineering, data engineering, or a related data role • Proficiency in SQL and experience with modern data stack tools such as dbt, Airflow, and cloud data warehouses (Snowflake, Databricks, or similar) • Experience with data modeling concepts (dimensional modeling, star/snowflake schemas) and building trusted, well-documented data products • Familiarity with BI/visualization tools (Looker, Tableau, or similar) and experience building dashboards and self-serve analytics solutions • Track record of partnering with non-technical stakeholders to translate business needs into data solutions, particularly in customer experience, operations, or compliance domains • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

🏖️ Benefits

• Total compensation may include equity and bonus eligibility • medical • dental • vision • 401(k)