Analytics Engineering Manager

Details

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

The Analytics Engineering team is part of the Data Engineering organization, whose mission is to build reliable and trusted data sources and tools that enable timely and accurate data-driven decision-making. Sitting at the intersection of data engineering, data science, and business analytics, our team transforms raw data into actionable insights through solid pipelines, scalable data models, and intuitive tools. By prioritizing data quality, reliability, and usability, we make sure stakeholders can trust and leverage data to drive real business impact.

Responsibilities

• Build and lead the team: Hire, mentor, and grow a team of analytics engineers who will work closely with product and data science teams.
• Develop deep product expertise: Ensure your team deeply understands product data, building targeted data marts and tools that solve real business problems.
• Leverage AI and LLMs: Investigate how LLMs and AI can change analytics and build data foundations that support these future needs. Focus on creating data marts optimized for LLMs and AI-driven analytics.
• Unlock the value of our data: Partner with stakeholders to maximize the commercial impact of data by building scalable models, optimizing pipelines, and integrating cross-product data for better decision-making.
• Directly deliver business impact: Oversee the creation of dashboards, ad-hoc analytics, and self-service tools that empower product teams to make data-driven decisions.
• Prioritize outcomes over tools: Leverage the right frameworks and technologies to drive value, whether by developing abstractions, creating internal data apps, or improving scalable workflows.
• Bridge the gap between business and data: Liaise between product data science, product managers, and central data engineering. Ensure your team uses central data tools and infrastructure while remaining agile and product-focused.

Requirements

• Resourceful problem solver, thrives on tackling new and complex challenges.
• AI-forward, excited about LLMs and AI in analytics, applying prompt engineering and design.
• Experienced in building and leading data teams.
• Hands-on tech lead balancing technical and strategic leadership.
• Expert in data modeling, ETL/ELT, and modern data stack tools (Airflow, DBT, Snowflake, Hex).
• Knowledge of engineering best practices: GitHub, CI/CD, modern workflows, OOP, scalable frameworks, advanced SQL.
• Creative, detail-oriented, and sense of urgency.
• Autonomous and accountable.
• Strong product and business sense.
• Clear and influential communicator.
• Strong statistical foundation for data interpretation and decision-making.

Benefits

• Extended Health Care Benefit (coordinates with Provincial Coverage)
• Dental Care
• Vision Care
• Consult+ (Virtual Health Care)
• Life & Accident Insurance
• Disability Coverage
• Employee Stock Purchase Plan (ESPP)
• Wellness Stipend
• Mobile/Internet Reimbursement
• Connections Stipend
• Learning and Development Allowance
• Employee Assistance Program
• Travel Medical Policy - Global Traveler
• Fertility Benefits
• Generous Time off/Leave Policy