Data Analyst, LayerZero Labs

• We are looking for someone with previous data analyst experience. Likely with a bachelor's degree in Computer Science, Statistics, Mathematics, Physics or related field, but we also consider and highly value equivalent practical experience
• Strong SQL knowledge and experience
• Proven track record in data modeling, statistics, and analytics
• Experience working with a broad range of stakeholders
• Strong convictions weakly held
• You enjoy working in a fast-paced start-up environment, where you'll need to take initiative and solve problems independently
• You understand the importance of data quality through incremental data development

Desirable

• As we continue to grow at LayerZero, we're faced with an exciting set of challenges: more data, more developers, more teams, more projects, and more opportunities for innovation. To tackle these problems head-on, we're expanding our data team with a dedicated Data Analyst
• As a Data Analyst at LayerZero, you'll be at the forefront of shaping a rich data foundation for a company that's making a real impact in the web3 space. You'll work closely with teams and leaders to uncover insights, drive decision-making, and fuel our next-generation products and services
• As a key member of the data team at LayerZero, you'll be diving headfirst into the world of crypto data - exploring on-chain wallets and contracts, block and transaction data, insights from in-house systems, and third-party intelligence
• Your mission will be to combine these diverse datasets into rich, actionable data products for a broad group of stakeholders
• Leveraging and expanding our ever-growing Kimball dimensional model
• Writing SQL to create and expand insights in our in-house reporting solutions
• Collaborating with stakeholders across the organization to conduct ad-hoc explorations and analytics - from engineering questions to help understand production issues to product insights that illuminate the broader crypto landscape
• Be a key owner of data quality, building out insights that serve the data team itself to help guide our data efforts towards cleaner and richer data
• Compose pipelines by writing SQL code to clean, combine, refine, and aggregate data into the insights the organization needs
• Collaborating on new datasets to ingest into our Snowflake data warehouse, working closely with data engineers on your team
• Not afraid of pushing code that supports tens of billions of dollars in daily transaction volume