We are seeking a Data Analyst to join our growing data team. As a Data Analyst at LayerZero, you will be at the forefront of shaping a rich data foundation for a company making a real impact in the web3 space. You will work closely with teams and leaders to uncover insights, drive decision-making, and fuel our next-generation products and services.
\nThe 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.
\nKey responsibilities include:\nLeveraging and expanding our ever-growing Kimball dimensional model.\nWriting SQL to create and expand insights in our in-house reporting solutions.\nCollaborating with stakeholders across the organization to conduct ad-hoc explorations and analytics.\nBeing a key owner of data quality, building out insights that serve the data team itself.\nComposing pipelines by writing SQL code to clean, combine, refine, and aggregate data into the insights the organization needs.\nCollaborating on new datasets to ingest into our Snowflake data warehouse, working closely with data engineers on your team.\nNot afraid of pushing code that supports tens of billions of dollars in daily transaction volume.
\nWe 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.
\nRequired 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.\nNice 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.
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\nYour day-to-day will involve owning analytical coverage across growth marketing, registration, and website, setting measurement frameworks, building scalable reporting, and driving the analytical roadmap for your domain. You will lead analysis on complex, ambiguous questions: incrementality testing, LTV and payback modeling, attribution deep dives, funnel decomposition, and cohort analysis.
\nYou will build and own dbt models that encode business logic for your domain in a scalable, reusable way to power dashboards, reporting, and stakeholder self-serve. You will build and maintain Tableau dashboards that give marketing and leadership a clear, reliable view of performance across growth, registration, and web.
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\nYou will mentor and raise the floor for junior analysts on the team. You will review their work, help them think through ambiguous problems, and set the standard for analytical quality. You will identify gaps before they become problems, from data quality and metric definitions to reporting coverage and stakeholder understanding. You will own the fix, not just the flag.
\nWe are looking for someone with 4–8 years of experience in a data or analytics role, with hands-on experience in at least one marketing channel: paid search (preferred), paid social, TV/CTV, affiliates, direct mail, or similar. You should understand how that channel's data works, how it's structured, what the key metrics are, and how performance is measured and reported. Multi-channel experience is a strong plus.
\nYou should have strong, proven SQL ability. You should write clean, efficient queries across complex schemas and build analytics logic others can maintain. Dbt experience, including owning models in production, is a strong plus. You should be proficient with Claude or similar AI tools for analytical work. You should use them to move faster, not as a crutch. You should know how to validate outputs rather than ship the first answer.
\nYou should write readable, well-structured Python for analytical work: data manipulation, automation, or scripting. Your code should be something a teammate can pick up and maintain. You should understand how attribution models work, what makes a good experiment, and how to think about LTV, CAC, and payback period without needing a primer.
\nYou should be proactive and not wait to be asked. You should spot the gap, scope the work, and drive it to a conclusion. Your stakeholders shouldn't have to manage your backlog. You should be able to take a fuzzy business question and turn it into a clear analytical plan. You should ask the right clarifying questions and bring structure without needing the problem handed to you pre-scoped.
\nYou should communicate findings in a way that drives decisions. You should know when a chart is enough and when you need a narrative. You've presented to senior stakeholders and know how to calibrate.
\nPreferred experience includes breadth across multiple marketing channels: paid search, paid social, TV/CTV, affiliates, or others. Hands-on experience with experiment design and incrementality testing is also preferred. Experience with Snowflake or a similar cloud data warehouse is a plus. Experience mentoring or reviewing the work of junior analysts is also a plus.
\nWork perks at Greenlight include medical, dental, vision, and HSA match, paid life insurance, AD&D, and disability benefits, traditional 401k with company match, unlimited PTO, paid company holidays and pop-up bonus holidays, professional development stipends, mental health resources, 1:1 financial planners, fertility healthcare, 100% paid parental and caregiving leave, plus cleaning service and meals during your leave, flexible WFH, both remote and in-office opportunities, fully stocked kitchen, catered lunches, and occasional in-office happy hours, employee resource groups.
\nOur stance on salaries is that Greenlight provides a competitive compensation package with a market-based approach to pay and will vary depending on your location, experience, and skill set. The total compensation package for this position will also include a discretionary performance bonus, equity rewards, medical benefits, 401K match, and more. Greenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive.
\nThe estimated base pay range for this position in NY, CA, WA is $125,000-145,000. The estimated base pay range for this position in CO is $125,000-135,000.
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\nResponsibilities:
\nRequirements:
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