Analytics Engineer

Analytics Engineer About LineLeap LineLeap is a venture-backed company built on a simple idea: Fun, Faster. The LineLeap app is the go-to platform for going out, where users can buy line skip passes, cover, event tickets, and more directly from their phone. Today, LineLeap is the clear leader in nightlife technology, recently peaking at #42 among all apps nationwide, surpassing Starbucks, Ticketmaster, Airbnb, and more. LineLeap already has over 2 million users, 800 venues on the platform, and is doing tens of millions in annual revenue. That scale gives us something rare: a deeply engaged, high-frequency relationship with the most valuable consumer demographic in the country. Every brand targeting the 21–35 demographic wants to reach these users, and LineLeap is uniquely positioned to influence behavior and purchasing decisions at scale. We are now deepening our relationship with users and unlocking new monetization through a points and incentives system that rewards engagement with the brands and businesses they already love. Our scale and new product bets create the opportunity to become a category-defining consumer platform that shapes how people spend their time and what they choose to do. About the Team We are building a world-class analytics team at the intersection of data and AI, dedicated to driving transformation change, not incremental improvements, in how LineLeap grows and operates. As a small but high-impact team, we collaborate closely with stakeholders across the company to deliver fast, accurate, and actionable insights that shape strategy and drive results. As we scale, we’re looking for team members who bring creativity, collaboration, and a forward-thinking vision for what analytics can become in an AI-native world. About You You are someone who sets the bar high for themselves and wants to be a part of a team that does the same. You're not just comfortable with data and AI, you're obsessed with it. You find yourself going deep on problems not because you have to, but because you want to. You care about building systems with a high standard of quality while understanding the importance of quickly getting work into the hands of stakeholders. As a self-starter in a small but growing analytics team, you take ownership of projects, turning business needs into impactful analytics-driven solutions. You think in systems, not just dashboards. You understand that in an AI-driven world, clean data models and metadata don't just power charts, they power products, predictive models, and smarter operations. You believe that making a huge impact is done not by individuals, but by tight-knit teams that work hand-in-hand towards highly ambitious goals. You have deep, proven analytics engineering experience . You bring 3-5 years in data analytics, analytics engineering, or BI roles, with demonstrated experience designing, implementing, operating, and extending Kimball dimensional models. You have strong SQL skills, preferably in BigQuery, Redshift, or Snowflake, and you know how to optimize queries for performance at scale. You are a builder, not just a maintainer . You have taken data infrastructure from early-stage to something genuinely reliable and scalable. You have opinions about how things should be built, and you execute on those opinions. You do not wait to be told what to do, you identify what needs to exist and you build it. You translate business needs into technical solutions . You are not just an engineer who works in a vacuum. You listen carefully to what stakeholders need, you ask the right questions, and you build solutions that actually solve the problem, not just the literal request. You are fluent with AI tools . You are comfortable using AI tools to accelerate coding and documentation, while bringing the expertise and attention to detail needed to audit and correct output. You have strong BI tool experience . You are familiar with BI tools, preferably Looker, and have experience distribut ... (truncated, view full listing at source)