Senior Analytics Engineer
Core
Building trusted, self-serve data models and semantic layers for the Finance, Sales, and Marketing domains to turn business questions into actionable insights.
Role type
Senior Analytics Engineer (Finance/Sales domain)
Builds
dbt models, business marts, and semantic layer definitions for BI platforms
Domain
SaaS / Cloud Infrastructure / Financial Services
Deliverable
production ML models | dashboards & analysis
Required skills
dbt, SQL, Snowflake, dimensional modeling (Kimball/star schema), metric definition, data quality validation
Preferred skills
Looker (LookML), Salesforce, Zendesk, Airflow, CI/CD for analytics
Technologies
dbt, Snowflake, Looker, Salesforce, Zendesk, Airflow, GitHub Actions
Responsibilities
Own the analytics modeling lifecycle for GTM/Lead-to-Customer or Post-Sales domains; Develop and maintain the semantic layer; Partner with stakeholders to translate business questions into data models; Define and enforce consistent metric definitions; Build trustworthy self-serve data products; Collaborate with Data Platform team on data sourcing and quality.
Seniority
Senior, hands-on IC