Analyst II, Full Stack (Revenue Analytics)
Core
Build scalable data products, semantic layers, and dashboards to power revenue analytics, AI readiness, and decision-making for the revenue field team.
Role type
Senior Analytics Engineer (Revenue)
Builds
dbt data models, dashboards, metrics, automation processes, and semantic/metadata layers for AI
Domain
Fintech / Revenue Analytics / Data Engineering
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
SQL, dbt, Python, data modeling, data visualization, semantic layer design, data governance, AI integration, Salesforce support
Preferred skills
Experience with commercial business areas, translating ambiguous problems into scalable solutions
Technologies
dbt, Python, SQL, Sigma, Looker, Tableau, Databricks, Snowflake, GitHub, Salesforce
Responsibilities
Develop dbt data models, dashboards, and automation for the revenue field team; Build and maintain critical reporting data models for external merchant reporting; Build semantic, metadata, and context layers for AI systems; Partner with stakeholders to translate requirements into data products; Contribute to version control, code review, and documentation best practices; Develop processes to scale analytics impact within Revenue.
Seniority
Senior, hands-on IC
