Lead Analytics Engineer

CLEAR - Corporate•New York, NY

55d•$160,000 - $190,000•Onsite

About The Position

Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 30+ million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic. As CLEAR continues to scale, we’re deepening our investment in the data ecosystem that powers our decision-making. We’re looking for a Lead Analytics Engineer to own the presentation layer of our data stack. This is a hands-on, senior individual contributor role for someone who blends exquisite data modeling craft, deep familiarity with tools like dbt and Looker, a knowledge of the state of the art, and a passion for designing data structures that enable intuitive self-service. You’ll define the semantic and analytical layers that drive clarity across the business, transforming complex data into clear, trusted metrics and models that everyone at CLEAR can rely on.

Requirements

7+ years of experience working in analytics engineering, BI engineering, or data engineering roles within a modern cloud data warehouse environment. Today we use Snowflake, dbt, Dagster, and Looker.
Expert-level SQL: you can structure models for clarity, reuse, and performance at scale.
Deep experience with BI tools including semantic layer design, metric standardization, and the enablement of AI-driven analytics.
Strong understanding of dimensional modeling and data warehousing principles. You are always thinking about performance and scalability.
Demonstrated ability to balance technical rigor with business impact designing models that are as intuitive for stakeholders as they are efficient under the hood.
Track record of driving BI and self-service, creating environments where data users can confidently explore and analyze on their own.
Strong communication and influence skills, able to partner effectively across technical and business domains to align on data strategy and definitions.
Proactive ownership and curiosity, always seeking opportunities to simplify, standardize, and scale how data is modeled and delivered.

Responsibilities

Own and evolve the presentation and semantic layers: design, build, and optimize data models that serve as the foundation for Analytics at CLEAR. Develop metrics that drive a consistent, opinionated view of business performance across Finance, Product, Marketing, and Operations teams.
Partner with data engineering teams to define the transformation logic (via dbt or similar frameworks) that connects raw data to consumable business views, optimize pipelines to improve query performance, and ensure models align with best practices.
Own a roadmap for enabling AI-powered analytics driving improved data documentation and a path for exposing our semantic layer to AI models.
Improve self-service rates by building intuitive data structures, reusable views, and clear metric definitions that empower teams to answer their own questions.
Mentor analysts and analytics engineers, guiding them in data modeling best practices, BI design, and stakeholder engagement.