OpenSea is the first and largest marketplace for non-fungible tokens, or NFTs. Applications for NFTs include collectibles, gaming items, domain names, digital art, and many other items backed by a blockchain. OpenSea is an open, inclusive web3 platform, where individuals can come to explore NFTs and connect with each other to purchase and sell NFTs. At OpenSea, we're excited about building a platform that supports a brand new economy based on true digital ownership and are proud to be recognized as Y Combinator's #4 ranked top private company.

When hiring candidates, we look for signals that a candidate will thrive in our culture, where we default to trust, embrace feedback, grow rapidly, and love our work. We also know how critical it is to celebrate and support our differences. Employing a team rich in diverse thoughts, experiences and opinions enables our employees, our product and our community to flourish. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. To help facilitate this, we support remote, hybrid or onsite work at either New York City or San Francisco for the majority of our opportunities.

We're looking for an experienced and entrepreneurial [marketing analysts/ds] to develop insights and frameworks that guide the marketing roadmap, growth, and metrics. An ideal candidate is someone who has owned and ran Marketing Analytics for a company with >$50M in annual Marketing spend. A background in and understanding of the B2C space is preferred. 

Responsibilities

• Define the right metrics to measure the success of marketing in relation to the product/ marketplace 
• Performing quantitative analysis and building dashboards that informs marketing roadmaps
• Work with stakeholders to understand and define LTV, CAC, and other core Marketing metrics
• Contribute to experiment design and interpret the results to draw detailed and actionable conclusions
• Building machine learning models that help improve our customer experience and enhance operations
• Working with data engineers and rest of the engineering team to build data stack and data pipelines

Desired Experience

• 5+ years of experience in data science/ data analytics fields
• Experience in sql, python/R, airflow, looker and spark
• Experience working with web analytics and marketing related tools such as Segment, Amplitude, Optimizely, and Google Analytics
• Strong quantitative background and experience with statistical analysis, incrementality testing, media mix modeling (MMM), multi-touch attribution (MTA) and other core marketing metrics
• Detailed knowledge of data warehouse technical architecture, ETL, and reporting/analytic tools
• Ability to operate under ambiguous and fast moving problem spaces using cross-functional skill when needed
• Potential to grow into a leadership position as the team expands
• (nice to have) A passion or growing interest in decentralized technologies
• (nice to have) An understanding of the basic mechanics of blockchain applications and dApps.