LineLeap

Senior Analytics Engineer

LineLeap

full-time

Posted on:

Location Type: Hybrid

Location: New York CityNew YorkUnited States

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Salary

💰 $140,000 - $180,000 per year

Job Level

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data modelinganalytics engineeringbusiness intelligenceSQLquery optimizationAI toolsdbtdescriptive analyticsprescriptive analyticspredictive analytics
Soft Skills
relationship buildinginfluencing strategyattention to detailproblem solvingadaptabilitycommunicationcollaborationstakeholder engagementtechnical understandingself-service enablement