Senior Analytics Engineer

Norm Ai

United States Posted October 10, 2026

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Remote Full-time Senior
Salary Range

$175,000 - $215,000

Job Description

Join our team as a Senior Analytics Engineer, where you will own the analytics data products that our internal teams rely on to make decisions. You will turn prototypes and one-off analyses into trusted, production-grade models and metrics. This hands-on role combines modeling judgment with stakeholder discovery and reports directly to the Director of Data. You will work closely with the rest of the data team and internal partners such as GTM and Finance.

  • Posséder les produits de données analytiques sur l'ensemble des fonctions commerciales internes.
  • Concevoir et maintenir des modèles intermédiaires réutilisables, des modèles d'or commerciaux, des métriques, des contrôles d'accès, des tests, de la documentation et des conseils aux agents Lightdash.
  • Transformer les idées en produits de données de production en travaillant avec les parties prenantes pour définir les exigences, valider les résultats et les publier.
  • Familiarity with and regular use of AI coding agents. You verify their output and know when they are not the right tool
  • Experience delivering a metrics or semantic layer used by both people and tools, with safe access controls for sensitive data
  • 5+ years of analytics engineering or equivalent experience, including contribution to a production dbt project with tests, CI, incremental models, and documentation
  • Strong SQL skills and enough Python experience to understand existing pipelines and build transformation tasks
  • Clear technical writing. You treat model documentation and metric definitions as part of the data product
  • Strong dimensional modeling judgment: you can design conformed entities and facts at the correct grain, and make clear decisions when source systems use conflicting definitions
  • Experience with Lightdash, or another semantic layer managed as code
  • Experience with legal, private equity, or financial services data, including restricted or client-sensitive information
  • AWS knowledge and familiarity with tools like Athena, Iceberg, and Spark
  • Experience setting standards or mentoring on a small team
Required Skills
go-to-market agents dbt SQL Python transformation technical writing private equity Amazon Web Services Spark mentoring
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