Analytics Engineer

LineLeap • New York, NY

5d • $150,000 - $180,000 • Hybrid

About The Position

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.

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.

We’re looking for an 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. This is not a support role, it is a builder's role. You will take our dbt instance from 1 to 100 and leave a lasting mark on how this company uses data to make decisions.

Requirements

• 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 translate business needs into technical solutions.
• You are fluent with AI tools.
• You have strong BI tool experience.
• You are familiar with BI tools, preferably Looker, and have experience distributing insights via reports and dashboards that people actually use.
• You thrive in a fast-paced, high-ownership environment.

Nice To Haves

• Experience supporting business subject areas such as marketing, finance, sales, product, or customer success.
• A strong perspective on the analytics engineering development cycle, data modeling, version control, documentation, testing, and codebase best practices.
• 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.

Responsibilities

• Own the data model architecture.
• Drive speed-to-insights.
• Build and maintain systems that last.
• Enable self-service analytics across the company.
• Partner with the business to drive outcomes.
• Lead the evolution of descriptive to predictive analytics.
• Leverage AI to move faster and build smarter.

Benefits

• Base salary of $150,000 to $180,000, depending on experience
• Competitive stock option package, depending on experience
• 401(k) plan with matching
• Benefits package including medical, dental, vision, short-term/long-term disability, and life insurance
• Unlimited PTO
• Hybrid work environment

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees