Cryptographic Data Analyst
6 days ago
At Coinbase, we are pushing the boundaries of what is thought possible in the world of cryptocurrency. We believe that economic freedom is a fundamental human right and strive to increase it around the world. Our mission is ambitious and demands the best from each of us every day as we build the emerging onchain platform – and with it, the future global financial system.
We are seeking a highly skilled Cryptographic Data Analyst who is passionate about our mission and believes in the power of crypto and blockchain technology to update the financial system. This individual will be eager to leave their mark on the world, relish the pressure and privilege of working with high-caliber colleagues, and actively seek feedback to keep leveling up. They will run towards, not away from, solving the company's hardest problems.
Data Science plays an integral component of Coinbase's product and decision-making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With deep expertise in experimentation, analytics and advanced modeling, we produce insights directly moving the company's bottom line. The ideal candidate for this role will have at least 2 years of relevant experience in data analysis, preferably in a digital product environment with an iterative development cycle. A strong understanding of statistical concepts and practical experience applying them in fields such as machine learning and causal inference is essential.
Responsibilities include performing analyses on products to answer open-ended questions and provide strategic recommendations, designing and guiding experiments/analysis to measure impact and drive product improvements, and developing and maintaining key metrics and reports enhancing data infrastructure for better analysis. Additionally, they must demonstrate clear communication, positive energy, continuous learning, and efficient execution in their work.
In terms of qualifications, the successful candidate should possess a BA/BS in a quantitative field (e.g., Math, Stats, Physics, or Computer Science) with ≥2+ years of relevant experience and a proven track record of driving impact in a digital product environment. Familiarity with programming languages such as Python, SQL, and Excel is also required.
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