Analytics Engineer, Finance

Skills

About the Role

You will own the data layer Finance runs on: modeling it, reconciling it against source systems, testing it, automating it and making it self-serve. You will partner with Finance, Accounting and the data team so every reported number ties back to its source.

Requirements

• At least 3 years in analytics engineering, software engineering, or analytics with strong data modeling focus
• Proficiency using AI tools while checking output
• Strong SQL in a modern data warehouse such as BigQuery, Snowflake or Redshift
• Hands-on dbt experience
• Experience reconciling data across systems
• Familiarity with financial metrics and processes
• Strong attention to detail
• Ability to work independently and collaboratively in a startup

Responsibilities

• Build and own Finance models for ledger, settlements, card transactions, invoicing, fees and collateral
• Build and run reconciliations between internal systems and external sources and fix root causes
• Support month-end close and audit readiness with validated, documented outputs
• Automate recurring Finance reporting and deliveries
• Add data quality tests and alerts
• Define reusable metrics such as revenue, costs, volume and contribution profit with Finance
• Build self-serve reporting
• Work with data and platform engineers on ingestion and source changes

Benefits

• Flexible time off (minimum 10 days)
• Flexible working with home workspace stipend
• 95% health, dental and vision cost coverage for employees and 90% for dependents (US)
• 100% company-subsidized life insurance
• 401(k) with 4% company match
• Equity option plan
• Bonus
• Monthly health and wellness stipend
• In-office meals via DoorDash credit
• Team summits and offsites