Tech Stack

Requirements

• 1-4 years professional experience in analytics engineering or related role
• SQL proficiency and experience with modern data tools (dbt, Databricks, Snowflake, or similar)
• Technical curiosity and AI-forward mindset (experience with LLMs, prompt engineering)
• Detail-oriented with financial rigor and understanding of financial data precision
• Clear communicator with strong writing skills for documenting business logic

Responsibilities

• Design and maintain trusted data models for core financial metrics (ACV, ARR, billings, revenue recognition, cost allocation)
• Develop and govern dbt data pipelines with data integrity standards and SLAs
• Build and optimize self-service dashboards in Looker and Omni for financial insights
• Enable AI-powered natural language access to financial data and automated anomaly detection
• Serve as primary data partner for FP&A, Accounting, and Finance leadership