Customer Experience Analytics Manager, Coinbase

• 8+ years of relevant analytics experience
• 2+ years of experience managing a technical data team supporting a large organization
• Expertise in SQL and data modeling, Python experience a plus
• Highly proficient using at least one data visualization product (Looker, Tableau, QuickSight, etc.)
• Excellent written and verbal communication skills, including experience meeting with and communicating information to senior leadership
• Highly collaborative, with an ability to secure inputs from many cross-functional partner teams
• Ability to think strategically, formulate appropriate analytical solutions, and execute in order to solve business needs

Desirable

• As an Analytics Manager on our team, you will help drive business impact through data
• You’ll have the opportunity to transform data into valuable business insights and help shape our strategy to deliver maximum impact to our customers, while also heavily influencing strategy, planning, and execution
• Hire and develop a top tier analytics team
• Improve customer experiences by developing bar raising metrics, self-service tools, and deep analyses that drive actionable insights
• Collaborate with stakeholders to manage a long-term analytic roadmap that balances the tactical and strategic needs of the business
• Develop a strong prioritization framework to ensure team is focused on highest-value initiatives
• Drive the vision, building, and adoption of self-service analytic capabilities; develop these capabilities at scale
• Understand data resources and know when, how, and which best to use for each project
• Ability to frame and break down complex business problems into key components and recommend practical solutions
• Monitor key performance metrics and use data to identify actionable opportunities to increase efficiency and make high-quality decisions that drive performance improvements
• Build a collaborative team environment that fosters efficient execution, innovation, and continuous improvement
• Develop and support the analytical technologies that give our team timely, flexible, and structured access to their data