Staff Analytics Engineer
Core
Design scalable dbt data models and build Looker dashboards to transform complex datasets into trusted insights for business forecasting and decision-making.
Role type
Staff Analytics Engineer
Builds
Scalable dbt data models and intuitive Looker dashboards
Domain
Solar energy / Data analytics
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, dbt, Looker, data modeling, data validation, cross-functional collaboration, AI tool usage
Preferred skills
Python (forecasting), Snowflake, ELT tools (Fivetran), Finance/SaaS analytics
Technologies
dbt, Looker, Snowflake, Fivetran, Python
Responsibilities
Design and evolve scalable dbt data models representing company KPIs. Develop and maintain Looker dashboards for stakeholders. Partner with cross-functional teams to translate business requirements into analytics solutions. Collaborate with Data Engineering to ensure reliable data pipelines. Establish dbt and Looker best practices and perform quality assurance. Analyze complex datasets to uncover actionable insights for business performance.
Seniority
Staff, individual contributor