LineLeap

Analytics Engineer

• 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.

Senior Analytics Engineer