Automate, connect, and optimize the financial backbone of the business by building reliable data pipelines, automating manual finance and accounting processes, and enabling data-driven decision-making across Finance, Accounting, and Customer Experience teams.
Requirements
- Strong proficiency in SQL, Python, and ETL tools (dbt, Airflow, Fivetran, or similar).
- Experience working with finance systems (e.g., QuickBooks, NetSuite, Ramp, Rippling, Stripe, Bill.com).
- Solid understanding of financial data structures — GL, P&L, balance sheet, ARR/MRR metrics, etc.
- Familiarity with data warehouses (Snowflake, BigQuery, Redshift) and BI tools (Looker, Tableau, Metabase).
- Experience with customer billing and revenue data in B2B SaaS environments.
Responsibilities
- Build and maintain financial data pipelines — automate ingestion and processing of data from systems like Stripe, QuickBooks, Rippling, Salesforce, and our internal product databases.
- Design ETL/ELT workflows to unify revenue, expense, and customer data into a centralized warehouse (Snowflake/BigQuery/Redshift).
- Automate manual finance and accounting workflows, including reconciliations, invoice tracking, ARR reporting, and customer billing analytics.
- Partner with Finance and Accounting teams to translate business requirements into data models and dashboards.
- Collaborate with Customer Experience and Operations teams to ensure accurate visibility into billing, refunds, collections, and customer-level financial metrics.
- Develop and maintain dashboards in tools like Looker, Tableau, or Metabase for financial and operational insights.
- Ensure data integrity across systems through validations, reconciliation checks, and monitoring.
Other
- 3–6 years of experience in Data Engineering, Analytics Engineering, or Finance Systems Engineering (startup or SaaS experience preferred).
- Strong analytical and problem-solving skills with a “systems-first” mindset — you see manual spreadsheets and think “pipeline.”
- Comfortable working cross-functionally with Finance, Accounting, CX, and Data teams.
- Interest in startup environments where you can move fast, experiment, and shape systems from the ground up.
- Collaborative team culture — you’ll work closely with both technical and non-technical stakeholders.
