The successful candidate will dive 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.

Key responsibilities include: 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. Being a key owner of data quality, building out insights that serve the data team itself. Composing 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.

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.

Required skills include strong SQL knowledge and experience, proven track record in data modeling, statistics, and analytics, experience working with a broad range of stakeholders, and strong convictions weakly held. Nice to have skills include experience with general programming, experience with Snowflake, experience building DAG-based data pipelines, experience with streaming real-time data pipelines, previous experience with blockchain technologies, smart contracts, and decentralized finance, experience with Kimball dimensional modeling, and working on a mid-to-large scale data stacks.

XML job scraping automation by YubHub