Analytics Engineering Manager

March 18

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Coinbase

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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.

Digital Currency • Software • Payment Processing • Bitcoin • Technology

1001 - 5000 employees

Founded 2012

₿ Crypto

💸 Finance

💳 Fintech

💰 $21.4M Post-IPO Equity on 2022-11

📋 Description

• Ready to be pushed beyond what you think you’re capable of? • At Coinbase, our mission is to increase economic freedom in the world. • To achieve our mission, we’re seeking a very specific candidate. • Our work culture is intense and isn’t for everyone. • The Analytics Engineering team is part of the Data Engineering organization. • This role combines technical expertise with business impact. • As the leader of the analytics engineering team, you’re going to build and lead the team. • Develop deep product expertise and ensure your team deeply understands product data. • Investigate how LLMs and AI can change analytics and build data foundations. • Partner with stakeholders to maximize the commercial impact of data by building scalable models. • Oversee the creation of dashboards, ad-hoc analytics, and self-service tools. • Liaise between product data science, product managers, and central data engineering.

🎯 Requirements

• Resourceful problem solver: You thrive on tackling new and complex challenges, even those outside of your expertise. • AI-forward: You’re excited about the role of LLMs and AI in analytics. • Experienced in building and leading teams: You have experience hiring and managing data teams. • Hands-on tech lead: You’re comfortable balancing hands-on work with strategic leadership. • Data modeling and tools: You’re an expert in data modeling, ETL/ELT, and modern data stack tools. • Engineering best practices: You’re comfortable with version control, CI/CD, modern development workflows, OOP, and advanced SQL. • Creative and detail-oriented: You bring out-of-the-box thinking and attention to detail. • Autonomous and accountable: You operate with a high degree of independence while taking full ownership of outcomes. • Product and business sense: You’ve collaborated with product and data science teams. • Clear and influential communicator: You communicate clearly and know how to get buy-in for your team’s work. • Strong statistical foundation: You have a strong understanding of statistics and probability.

🏖️ Benefits

• target bonus + target equity + benefits (including medical, dental, vision and 401(k)).