2 months ago
Job Summary
Data Science is a pivotal element of our operational strategy at Coinbase, influencing product, engineering, and decision-making processes. This role is integral to our senior leadership, investor relations, and peer teams– you will tackle complex, ambiguous questions that influence insights generation and decision making at the highest levels.
- Minimum Qualification : Degree
- Experience Level : Senior level
- Experience Length : 5 years
Job Description/Requirements
What You'll Be Doing:
- Engage with senior leadership to provide analytics and insights on business performance, competitive analysis and metric trends.
- Conduct exploratory data analysis (EDA) to uncover insights that explain business drivers and drive strategic decisions.
- Prepare and present clear, concise reports and dashboards for a senior-level audience, ensuring exceptional executive presence.
- Develop and maintain operational models and data pipelines to support data analysis and reporting.
- Develop and implement automated reporting solutions to streamline data collection, analysis and presentation
- Manage and prioritize data and analysis requests from Investor Relations, Finance leadership and executives, supporting high-stakes deliverables such as board presentations.
What We Look for in You:
- A BA/BS or higher in a quantitative field such as Financial Engineering, Math, Statistics, Physics, or Computer Science. Preferably with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience
- Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces.
- Ability to thrive in a fast-paced environment by effectively multitasking, prioritizing tasks, and managing competing demands
- Ability to influence stakeholders by synthesizing data learnings into compelling stories.
- Proven track record of effectively managing and communicating with senior leadership, including presenting complex information in a clear and concise manner
- Demonstrated ability in forecasting as well as building and maintaining data models, dashboards, and performance metrics.
- Experience in data analytics and supporting high-level executives such as CFOs and investor relations teams.
- Professional experience using SQL and Python.
- Understanding of the dynamics of working within a public company and managing sensitive stakeholder relationships.
- Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
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