Senior Analytics Engineer

Job Summary

Owning the analytics modeling lifecycle for a business domain, the full-time Senior Analytics Engineer will develop and maintain data models in Snowflake, collaborate with cross-functional teams, and build self-serve data products remotely.

Key responsibilities

• Manage the analytics modeling lifecycle, including building and maintaining dbt models and business marts
• Develop and maintain the semantic layer that supports the BI platform
• Collaborate with stakeholders to translate business questions into effective data models and enforce consistent metric definitions

Required qualifications

• 6-8 years of experience in analytics, data engineering, or a related field, with at least 4 years in analytics engineering
• Advanced SQL skills and hands-on experience with dbt or similar transformation frameworks
• Experience with cloud data warehouses, preferably Snowflake
• Familiarity with BI/semantic-layer modeling, ideally using Looker or Omni
• Strong understanding of dimensional/data modeling fundamentals, such as Kimball design and star schema