Laylo powers drops for some of the world’s biggest creators and brands. Drops have become the predominant marketing strategy for merch, tickets and content and we're building the leading CRM to power them. The platform combines landing pages, messaging, link tracking, and more to empower musicians, artists, celebrities, creators and brands with the tools to drive more sales and streams around their most important moments.

As a data analyst, you will be responsible for analyzing various data sources to inform business decisions and developing interactive data visualization tools. You will work with the product and sales team to identify growth opportunities and you will lead experiments to verify or disprove those opportunities.

The ideal candidate will have a strong foundation in data analysis and experience in front-end development, particularly with React. Google Analytics is a requirement, experience with other analytics platforms like Amplitude/Segment are a nice to have

To learn more about how we work, take a look at Our Values

What will you do?

• Define the technologies needed to build out a data pipeline (Amplitude, Segment, Google Analytics, etc)

• Define metrics that we need to track when deploying new features

• Define success for new features and product updates

• Build visualizations to better understand data and success metrics

• Collect, clean, and interpret data from various sources, including user behavior, financial data, and market trends

• Conceptualize and help implement A/B tests and other experiments to improve company KPIs

• Make product recommendations based on data

• Collaborate with the development team

We're looking for someone who:

• Cares about music, sports and live events and wants to build something meaningful. The tools we create will empower the next generation of entertainment, and we take that responsibility seriously.
• Expertise in implementing third-party tools and integrating them in first-party applications:
  • Segment, Optimizely, Iterable, Amplitude, Google Analytics, or similar products.
• Has great sense of product
• Has deep experience working in growth and data teams at early or mid-stage startups
• 5+ years of industry experience with the ability to work across the entire stack.
• Has deep understanding of the tools that power marketing automation, experimentation, personalization, attribution, and analytics.
• Ability to improvise and develop creative solutions when common approaches fail. Understand the trade-offs in employing different engineering solutions to a problem, valuing pragmatism over idealism.
• Is excited to experiment across growth, retention, churn, referrals and more to determine the best growth levers

About Us:

Our founders met while building competing consumer startups. We’ve launched multiple products across consumer and SaaS and talked to thousands of fans and creators in the process. In 2020, we realized one of the biggest pain points creators and brands have is building high conversion drop experiences and engaging with their fans.

We went through Y Combinator in summer 2020 while building that new product and after seeing really strong early traction, raised our seed round in mid 2021.

Right now we're a small team that's mostly based in Los Angeles but working from remotely with other team members in various states. We're open to hiring remotely (in North America), but expect to find an office in Los Angeles at some point TBD.

We have a strong written documentation culture, leveraging Notion to share ideas and record processes and learnings. We try to do as much as possible asynchronously to move quickly and efficiently. We have a daily 30 minute standup and operate across Slack, Notion & Figma.