About LineLeap

LineLeap (YCombinator S19) is building new ways to interact and transact with your favorite bars, clubs, and nightlife venues. Starting in 2017, LineLeap has allowed users to skip the line while providing venues with new revenue that helps grow their businesses even further. Since then, LineLeap has charted as high as #6 in the App Store and expanded to offering in-app cover payment, drink ordering, and event ticketing, along with giving venues powerful marketing and analytics tools so they can create unforgettable experiences for their customers. LineLeap gives our 350,000+ users a delightful and unique way to interact with their go-to venues, allowing them to get to the fun, faster.

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.

About the Role

We’re looking for a Senior Analytics Engineer to lead the future of analytics at LineLeap. You will own the development and vision for our data models and architecture, utilizing AI tools to move faster and build smarter. Leveraging and building with AI in mind to drive outsized impact, helping Lineleap move dramatically faster and operate more effectively than traditional analytics teams ever could. You will set the foundation, best practices, and processes for scalable and efficient data operations. You will collaborate closely with business stakeholders, as well as the product and engineering teams, to make data and analytics a core part of all aspects of LineLeap, enhancing our reporting capabilities and driving impactful results and process improvements.

What You’ll Do

• Design, develop, and maintain data models ensuring our core data entities are structured not just for BI, but as high-quality context for current and future AI systems.
• Own the modeling of data into usable and scalable formats to drive speed-to-insights and self-service analytics, for internal and external stakeholders.
• Create, define, and maintain architecture and systems documentation, ensuring all work meets high standards for style, maintainability, and best practices.
• Build strong relationships with stakeholders across the business to influence strategy and measure outcomes.
• Develop a deep understanding of how every part of LineLeap functions in theory and practice to help inform our roadmap and function as the “glue” of the company.
• Support and enable self-service analytics while exploring new AI native methods for stakeholders to interact with data.
• Serve as the Directly Responsible Individual for the development and execution of core data models and analytics infrastructure.
• Help the analytics team deliver core descriptive analytics to each department and lead future projects in prescriptive and predictive analytics.
• Augment your workflow with AI tooling to increase output where possible.
• Take our dbt instance from 1 to 100, ensuring great reliability, maintainability, and performance.

What You Need

• 4-6 years of data analytics, analytics engineering, or BI roles.
• Proven experience designing, implementing, operating, and extending models.
• Comfortable using AI tools to accelerate coding and documentation, while bringing the expertise and attention to detail needed to audit and correct output.
• Strong knowledge of SQL (preferably BigQuery or Redshift, Snowflake) and query optimization.
• Familiarity with BI tools (preferably Looker) and experience distributing data insights via reports and dashboards.
• Ability to thrive in a fast-paced, continuously improving, start-up environment with a culture of solving technical problems iteratively.
• Ability to understand and translate business requirements into technical solutions.

Nice-to-Haves

• Demonstrated experience supporting or working in one or more business subject areas: marketing, finance, sales, product, customer success, customer support, engineering, or people.
• Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development).
• Experience using AI coding assistants, MCPs, and instruction files to increase velocity while maintaining quality.
• Familiarity with semantic layer design that supports AI toolings and queries.