Senior Manager of Analytics Engineering

Are you ready to push the boundaries of what you believe you can achieve?

At Coinbase, we are driven by our mission to increase economic freedom worldwide. Our ambition is bold, and it requires the best of our talents as we forge the onchain platform and pioneer the future of the global financial system.

We are on the lookout for a unique candidate who is deeply passionate about our mission and recognizes the transformative power of crypto and blockchain technology in modernizing finance. If you seek to leave a lasting impact on the world, thrive under pressure, and cherish collaboration with exceptional colleagues, we want you on our team. You should welcome challenges and actively seek solutions to our company's most significant obstacles.

Our work culture is high-energy and may not suit everyone. However, if you're eager to shape the future alongside individuals who excel in their fields and expect the same from you, there is no better place to thrive.

While many roles at Coinbase offer remote options, we are not solely remote. In-person engagement is required throughout the year, with multiple team and company-wide offsites designed to enhance collaboration and connection. Your participation is vital and fully encouraged.

The Analytics Engineering team, part of our Data Engineering organization, strives to develop reliable and trusted data sources and tools, enabling accurate data-driven decision-making. Nestled at the intersection of data engineering, data science, and business analytics, we turn raw data into actionable insights through robust pipelines, scalable data models, and user-friendly tools. By prioritizing data quality, reliability, and usability, we empower our stakeholders to leverage data for genuine business impact.

Your Responsibilities:

• Build and Lead the Team: Recruit, mentor, and nurture a skilled analytics engineering team collaborating with finance, CX, HR, compliance, and data science.

• Architect Core Data Modeling Initiatives: Design our fundamental data models, providing technical leadership and direction to expert modelers while ensuring scalability and reliability.

• Focus on Data Quality: Establish and uphold rigorous testing, monitoring, and validation frameworks to guarantee data accuracy and consistency.

• Develop Domain Expertise: Cultivate a deep understanding of finance, CX, HR, compliance, and product data, constructing targeted data marts and tools to address real business issues.

• Leverage AI and LLMs: Explore how LLMs and AI can revolutionize analytics and develop data foundations tailored to support these advancements.

• Unlock Data Value: Collaborate with stakeholders to amplify the impact of data through scalable models, optimized pipelines, and integrated cross-product data.

• Drive Business Impact: Oversee the creation of dashboards, ad-hoc analytics, and self-service tools empowering product teams to make informed decisions.

• Prioritize Outcomes: Utilize appropriate frameworks and technologies to deliver value through data abstractions, internal applications, or optimized workflows.

What We Seek in You:

We’re searching for a hands-on leader to establish and manage the Analytics Engineering team catering to finance, CX, HR, compliance, and other product teams. You will create domain-specific data marts, analytics solutions, and tools that propel our products and business initiatives forward, all while adhering to data engineering best practices. This is your opportunity to influence the future of analytics, especially as we incorporate LLMs and AI-driven insights.

Success in this role requires a blend of leadership, technical prowess, customer orientation, and a product-driven mindset. Here’s what we’re looking for:

• Team Building Experience: Proven track record in hiring and managing data teams, inspiring and developing talent effectively.

• Problem Solving Passion: A fervor for tackling complex challenges, regardless of familiarity, whether that’s learning new programming languages or diving into unfamiliar datasets.

• AI Enthusiast: Eager to explore LLMs and AI roles in analytics, bringing forth innovative ideas on preparing for an AI-driven future.

• Hands-on Technical Leadership: Comfort in balancing practical work with strategic leadership responsibilities.

• Data Modeling Expertise: Proficiency in data modeling, ETL/ELT, and modern data stack tools such as Airflow, DBT, Snowflake, and Hex.

• Knowledge of Best Practices: Familiarity with version control, CI/CD, OOP principles, scalable framework development, and advanced SQL practices.

• Autonomy and Accountability: Ability to work independently while taking full responsibility for outcomes.

• Business Acumen: Previous collaboration with product and data science teams to provide analytics solutions, understanding product goals, and addressing challenges through analytics engineering.

• Effective Communication: Clarity in communication and ability to foster buy-in for your team’s initiatives while bridging relationships across teams.

• Statistical Insight: Strong knowledge of statistics and probability that enhances data interpretation, assumption validation, and supports data-driven decision making.

• Experience in CX and Compliance Analytics: Familiarity with building data solutions that support customer experience and compliance operations.

Pay Transparency Notice: Depending on your work location, the target annual salary for this position ranges from $243,865 to $286,900 USD. Full-time offers from Coinbase also include bonus eligibility, equity eligibility, and comprehensive benefits such as medical, dental, vision, and 401(k).

Commitment to Equal Opportunity: Coinbase is an Equal Opportunity Employer. All qualified applicants will be considered for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, and other protected statuses.

For individuals needing accommodation due to disability during the employment process, please reach out with the nature of your request.

Global Data Privacy Notice: In compliance with GDPR and CCPA, we outline how applicant data will be processed throughout the application procedure.