Senior Analytics Engineer, Finance

Highlights

• Build financial data foundation powering decision-making at high-growth AI company.
• Standardize revenue, retention and growth metrics in a robust semantic layer.
• Enable AI-assisted reporting and anomaly detection for finance analytics.

What they offer

• Equity
• Bonus

Ideal candidate

A versatile analytics engineer who loves partnering with Finance and thrives in ambiguity, pairing engineering rigor with clear storytelling to turn complex revenue data into trusted decisions.

Requirements

• 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field
• Deep expertise in SQL, dbt, Python, Snowflake
• Experience with modern BI tools like Looker/Omni or similar
• Skilled at defining core financial and operating metrics and resolving data inconsistencies
• Strong familiarity with version control (GitHub), CI/CD, and modern development workflows
• Experience modeling financial, billing, subscription, CRM, or usage-based revenue data
• Strong understanding of ARR, MRR, churn, retention, expansion, bookings, billings, and revenue recognition