Hybrid Senior Analytics Engineer

at LineLeap

• Job title: Senior Analytics Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: $140,000 - $180,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Amazon Redshift, BigQuery, SQL
• Location requirements: Hybrid, New York City, United States

About the role

• Senior Analytics Engineer leading the development of data models and analytics infrastructure at LineLeap. Working closely with stakeholders to enhance reporting capabilities and improve data-driven decision-making.

Responsibilities

• 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.

Requirements

• 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.

Benefits

• Competitive stock option package, depending on experience
• 401(k) plan
• Benefits package including medical, dental, vision, short-term/long-term disability, and life insurance
• Unlimited PTO
• Hybrid remote work environment