Analytics Engineer II, Full Stack (Revenue Analytics)

About This RoleAI processing…

Key Responsibilities

• 1
  Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts
• 2
  Build and maintain critical reporting data models that power external merchant reporting
• 3
  Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions
• 4
  Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products
• 5
  Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows)
• 6
  Develop processes, governance, and foundations to scale the impact of analytics within Revenue.

Requirements

• 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)
• Understanding of the data foundations required for reliable AI, including semantic layers, metadata, evals, metric definitions, documentation, and data quality
• Demonstrated experience integrating AI tools into day-to-day analytics engineering workflows to improve development speed, quality, and scalability
• Familiarity with Salesforce and experience supporting commercial areas of the business
• Ability to identify user needs and translate them into robust, scalable data products
• Ability to start with an ambiguous problem, deconstruct it into tangible steps, and work toward an impactful solution
• Ability to communicate findings and recommendations clearly to both technical and non-technical audiences.

Perks & Benefits