Analytics Engineer II, Full Stack (Revenue Analytics)

Responsibilities

• Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts
• Build and maintain critical reporting data models that power external merchant reporting
• Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions
• Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products
• Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows)
• Develop processes, governance, and foundations to scale the impact of analytics within Revenue.
• What we look for
• 3+ years of work experience in an analytics engineering or business intelligence role
• Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization
• Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake)

Languages