Data Analyst

The Uniswap Protocol is the largest decentralized trading and automated market making protocol (often called a DEX, Decentralized Exchange) on Ethereum.

The Uniswap Labs team was a major contributor to the Uniswap Protocol and now focuses on building a suite of products to support the Uniswap Labs ecosystem. Our team is one of the most impactful in crypto. We are headquartered in SoHo in New York City with the option to be partially or fully remote depending on the position.

We are seeking a Data Analyst who will work in a highly collaborative and cross-functional setting to empower data-driven decision-making at the company level. This Data Analyst will use analytical skills and machine learning to make better customer experiences. Specifically, they will use knowledge of causal inference and statistics to setup and evaluate experiments, advise the Uniswap Labs team on understanding the drivers of user engagement, and suggest product and business (growth/marketing) directions that could increase future engagement. While keeping a pulse on the product and company, they will predict future changes in business KPIs.

Responsibilities

• Develop core metrics and create dashboards to track and measure business performance
• Design, conduct and analyze experiments such as A/B tests to guide product decisions
• Perform exploratory data analyses and build models to distill insights from data and identify new strategic opportunities
• Partner with Product, Growth, Research, Engineering and Leadership to inform, influence, support and execute strategy and product and growth decisions
• Design and analyze product experiments to guide product launches
• Collaborate with multiple subject matter experts to drive new data initiatives, automate business intelligence reporting, and establish best practices
• Create growth/marketing attribution logic and measurement system that enables UL to quantify channel performance / ROI and make spend and resource allocation decisions accordingly
• Both for product launches as well as ongoing marketing campaigns
• Ongoing user analyses that support revenue and monetization efforts
• Attrition analyses (how much attrition can be attributed to fees vs. not)
• Customer segmentation (what is the right segmentation based on behaviors we see after fee launch —> will help feed further recommendation on fees)
• What are the predictive drivers of revenue (key data science analysis, will lead to honing in on key areas for marketing/product focus)

Requirements

• Bachelors/Masters/Ph.D. in quantitative fields (CS, Stats, economics, etc) with 2+ years work experience
• Experience with SQL and Python/R
• Ability to analyze large data sets in order to quantify performance via metrics or KPIs
• Strong communication skills and the ability to present insights to team members in other domains
• Ability to prioritize in a highly dynamic start-up environment
• An inquisitive mindset and ability to tackle challenges with limited guidance

Nice to Have

• Experience in finance
• Experience with blockchain data and analytics tools
• Experience with DeFi/web3
• Fondness for the color pink

Uniswap Labs' Full-Time employee benefits include unlimited and encouraged time off, 100% company-paid medical, dental, & vision for you and your dependents, 401(k) participation, annual $1,500 education stipend, up to 16 weeks paid parental leave, home office setup stipend for remote employees and daily lunches at NY headquarters (all benefits are subject to applicable taxes and based on eligibility).

Uniswap Labs is proud to be an equal opportunity employer (EEO). We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability (including gender dysphoria and similar gender-related conditions), sex, gender identity or expression, sexual orientation (including actual or perceived heterosexuality, homosexuality, bisexuality, and asexuality), veteran status, military status, domestic violence victim status, reproductive health decision making or any other protected category.