Data Analyst

3 weeks ago

Vancouver, Canada Volt Capital Full time
Opportunities in the Volt Capital portfolio

Founded in 2021, LayerZero’s vision is to create a community of cross-chain developers, building dApps that are no longer constrained by individual blockchain capabilities. With LayerZero's simple, generic messaging protocol, builders will develop cross-chain dApps designed to unify the power of individual blockchains.

We have built and launched the first dApp, Stargate, a fully composable native asset bridge that will allow users to swap one asset to another securely and without additional fees.

We are funded by the best investors in the world including:

a16z, Sequoia, PayPal, Binance Ventures, Coinbase Ventures, Uniswap Labs, Circle Ventures, Delphi Digital, and many more.

ABOUT THE ROLE

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.

WHAT YOU’LL DO

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.
ABOUT YOU

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

  • 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.

Bonus

  • Experience with general programming, we use Python and Go on the data stack
  • 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

Equal Opportunity Employer

LayerZero Labs is committed to fostering a diverse and inclusive workplace. LayerZero Labs is an equal opportunity employer and does not discriminate on the basis of race, national origin, religion, gender, gender identity, sexual orientation, marital status, protected veteran status, disability, age, or any other legally protected status.

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