Order-to-Cash Data Analyst

Finance / Order-to-Cash Data Analyst Remote role Ideal Backgroun dExperience at companies such as Airbnb, Uber, OpenAI, DoorDash, Stripe, Anthropic, or similar platform-based organizations .Strong Order-to-Cash (O2C) finance domain expertise .Strong SQL skills and analytics experience .Understanding of modern platform-based finance ecosystems rather than traditional ERP-only environments .Responsibilitie sCertify and validate data pipelines .Perform reconciliation between operational systems and finance systems .Conduct data quality checks and validation .Work closely with finance stakeholders .Ensure datasets reconcile with the General Ledger and Oracle financial records .Support onboarding of new products and datasets into the data platform .Explain and defend data accuracy to the finance organization .Key Takeaway This is not a pure data engineer role. It is a finance-savvy analyst who understands O2C processes, data reconciliation, and data validation in a modern technology platform environment .

The analyst will certify and validate data pipelines, perform reconciliations between operational and finance systems, and conduct data quality checks. They will work closely with finance stakeholders to ensure datasets reconcile with the General Ledger and support onboarding of new products into the data platform.

Candidates should have strong Order-to-Cash finance domain expertise and SQL skills, along with analytics experience. An understanding of modern platform-based finance ecosystems is essential, as this role is not purely data engineering but requires finance-savvy analysis.

Identified from the job description. Confirm important requirements above.

• Order-to-Cash
• SQL
• Data Analysis
• Data Validation
• Data Reconciliation
• Finance
• Analytics
• General Ledger
• Oracle Financial Records
• Data Quality Checks
• Stakeholder Collaboration
• Data Pipelines
• Product Onboarding
• Modern Finance Ecosystems
• Platform-based Organizations

Minimum experience

2+ years